Latest Bioinformatics News
NYU-ePoly Online EducationOnline education with NYU-ePoly is very easy efficient. We have lot of tools which makes you easy to learn and understand your courses. Taking graduate class is as easy as preparing your dinner at home. You can access online courses anywhere you like – at work, at home, while traveling. If you think your daily activity is not allowing you to go school then think again you can turn to NYU-ePoly and earn your masters degree in your interesting field like Online Electrical Engineering, Online Bioinformatics, Organizational Behavior, Computer engineering, Cyber Security, Telecommunication Networks, Manufacturing Engineering, Industrial Engineering, Wireless Innovation. Also you can gain Certificate programs in Bioinformatics, Cyber Security, Computer Engineering, Power Electronics and Systems, Telecommunication Networking, Wireless communication. So no one can stop you from gaining online learning degree if you are committed. NYU-ePoly is online education department of the Polytechnic Institute of NYU. We help online students from various part of the world to make their experience and elearning better and smoother. Our help desk is live 24/7. We have best faculty staffing to help you make your distance education better and smooth. Online education is a simple procedure. We have weekly virtual class where professor puts up material, quiz, discussions, and various other materials for you to study. When ever a student get chance to study he access all material of week and studies weekly material. Confusions and doubts are cleared in discussions as well as personal email to professors. Taking online education exam is also simple procedure. Professors have two categories to take exam. First is if professor wants he can create online exam on our learning platform and take exam. Second is if professor want student to give exam in blue books then student has to find a proctoring facility and fill proctoring request form to ePoly. ePoly will contact your facilities and you can give exam at that proctoring facility. So if you think to go for elearning then NYU-ePoly would be best university to study. I am Keyur Patel. Student of NYU-Poly. I did my masters in online computer engineering and quite impressed with the distance learning carried out with ePoly. They also offer many other courses like online electrical engineering, bioinformatics and many other online masters programs. Read More →
Pathway Curation: An Upcoming Area in BioinformaticsWith the current boom in information technology, we see its application in almost every aspect of our life. “Bioinformatics” is the subject, which deals with the application of information technology in the field of biology, for example usage of computing power for drug designing, protein modeling, sequencing genomes and proteins and so on. Pathway curation is one branch/part of bioinformatics. A pathway is a representation of a set of related reactions in a given context, i.e. glycolysis, Krebs cycle or apoptosis [1]. Because of extensive research, with tools like High-throughput genomics and DNA microarrays, researchers have accumulated high volumes of data that are often too large for manual assessment. Mathematical and statistical analysis can be done to structure the large data volumes. Based on various computational algorithms, the tool generates pathways along with pictorial representations for easy understanding. Significant biological reactions are more lucid when projected on pathway diagrams rather than being represented in the form of a large set of tabular data. Generally a biological pathway diagram is used to describe molecular biology processes in a graphical way. This new area of pathway representation has created the role of a “Biocurator”. Biocurators (also called scientific curators, data curators or annotators) are also recognized as the “museum catalogers of the Internet age”. As a Biocurator He/She should be able to capture and integrate the knowledge from various sources such as databases and scientific literature into a pathway. The Biocurator should also support the data with relevant annotations and make this scientific data accessible to the scientific community. Multiple programs should be able to access the pathway diagrams and information in a sharable format to facilitate its use in research tool. Apart from this in a pathway diagram the pathway entities (like proteins, small molecules, lipid molecules etc) and the relation between the entities have to be made explicit. To make a pathway user friendly various proteins/metabolites involved in the pathway should be connected to a database entry. This entry should be linked to the experimental evidence from scientific literature which details about the function and interactions of these particular proteins/metabolites with other proteins in the pathway. The types of modifications (for e.g., phosphorylation, glycosylation, acetylation etc) taking place during any biological process can also be represented with proper experimental support from scientific literature. The pathway should be treated as an interacting network wherein the reactions between metabolites or gene products are represented. The pathway, in general shows various reactions taking place gradually in response to external stimuli. This ultimately leads to either activation or repression of a set of genes resulting into phenotypic changes which is of a common interest to researchers, academicians, doctors etc. The collaboration between authors, journals and biocurators will facilitate the exchange of data between journal publications and databases and in turn make the signaling pathways, metabolic pathways, disease pathways etc a readymade tool to every biologist. Combined effort of Biocurators, researchers, academic institutions and funding agencies will promote Biocuration as a professional career. A better understanding of the pathways will help the pharmaceutical companies to design new drugs and academicians and research personals to carry out research in new areas. References [1] Waagmeester AS, Kelder T, Evelo CT. The role of bioinformatics in pathway curation. Genes & nutrition 2008 Dec;3(3-4):139-42. Post Graduate in Bio-Chemistry and PG Diploma in Bio-informatics. Worked as a Bio-informatics professional for about 2 years and moved on to a home-based job since. Webpage – http://purnasrinivas.webs.com Read More →
Bioinformatics MarketsThe life science informatics marketplace–known as bioinformatics–is set to expand as high-tech companies infiltrate this arena and biopharmaceutical companies incorporate key informatic solutions into their business strategies. This Publications believes that many of the segments of bioinformatics described in this report offer an unusual opportunity for accelerated expansion within the coming years. This study is arranged to provide an overview of bioinformatics market segments and offer evidence that these segments are poised for significant future growth. Each segment is accompanied by analysis and forecasts by product type and application. This analysis surveys the bioinformatics market and the latest information regarding emerging new products and industry trends. The study will quantify and qualify the bioinformatics market segments as an area of research, product development and investment. Forecasts of the bioinformatics market and an analysis of products in the worldwide information-processing market will provide a basis for understanding the significance of past developments and future possibilities within this market category. Table of Contents : 1. Overview 8 1.1 Statement of Report 8 1.2 About this Report 8 1.3 Scope of this Report 10 1.4 Methodology 10 1.5 Executive Summary 11 2. Introduction 13 2.1 Global Bioinformatics Products Industry 14 2.2 Computers and Biology 15 2.3 Bioinformatics and the Internet 17 2.4 Company Evaluation Overview 17 2.5 Market Outlook 18 2.6 Competitive Structure 20 2.7 Applications of Bioinformatics 20 2.7.1 Medicine 20 2.7.2 Microbial Genomics 22 2.7.3 Agriculture 22 2.8 R&D 22 2.8.1 Allocation of R&D 23 2.8.2 Traditional Drug Discovery Process 24 2.8.3 Drug Discovery and Bioinformatics 26 2.8.4 Collaborative Agreements 27 2.9 The Human Genome Project (HGP) 27 2.9.1 Goals of the Human Genome Project 27 2.9.2 Benefits of the Human Genome Project 29 2.10 Barriers to Entry 29 2.11 Proteomics and Databases 30 2.11.1 Protein Database Standards 31 2.11.2 Future Trends 32 3. The U.S. Bioinformatics Market 33 3.1 Overview 33 3.2 Market Restraints and Drivers 35 3.2.1 Market Restraints 35 3.2.2 Market Drivers 36 4. Genomics 37 4.1 The Biotechnology Industry 37 4.2 The Development of a Genomics Market 39 4.2.1 Market Drivers 40 4.2.2 Market Restraints 40 4.2.3 Market Size and Growth Projections 40 4.2.4 The U.S. Genomics Market 40 4.3 Biochips and DNA Microarrays 40 4.3.1 Key Challenges 42 4.3.2 Freeware 42 4.3.3 New Tools 43 4.4 Bioinformatics 46 4.5 Disease Targets 46 4.6 Functional Genomics 47 4.7 Gene Sequencing 50 4.8 Gene Sequence Variation Detection 50 4.9 Comparative Genomics 51 4.10 Genome Database Arrays 51 4.11 High-throughput Genomics 53 4.11.1 High-throughput Technology 54 4.11.2 Lab on a Chip 54 4.12 Pharmacogenomics 55 4.13 Probe Arrays 57 4.13.1 Gene Expression Monitoring Arrays 57 4.13.2 DNA Analysis Arrays 59 4.14 Proteomics 60 4.15 Sequencing 61 4.16 Single Nucleotide Polymorphisms (SNPs) 61 4.17 Structural Genomics 63 4.18 Photolithography 63 4.19 Instrumentation 64 5. The Bioinformatics Industry 65 5.1 Definition and Role of Bioinformatics 65 5.1.1 Bioinformatics Sector Overview 66 5.1.2 The Future Status of Bioinformatics 67 5.1.3 Barriers to Growth 67 5.2 Types of Data and Bioinformatics Applications 67 5.2.1 Validated Core Modeling Technology 68 5.2.2 Broad Applicability 69 5.2.3 Data Management Compliant with Industry Standards 69 5.2.4 Open Architecture 69 5.2.5 Ease of Use 69 5.2.6 Increased Access 69 5.3 Functions of Bioinformatics Software 70 5.3.1 Data Management 70 5.3.2 Data Transformation 70 5.3.3 Data Collaboration 70 5.3.4 Interface for Online Data Sources 70 5.4 Target Markets for Informatics Software 71 5.5 Steps Involved in Bringing a Drug to Market 71 5.6 Costs Incurred in Developing a New Drug 72 5.7 Industry Drivers and Challenges 72 5.8 Industry Risks 74 5.9 Products of Bioinformatics 75 5.10 Bioinformatics Processes 76 5.11 Informatics Tools and Functionalities 76 5.11.1 Sequence to Structure 76 5.11.2 Lead Identification and Optimization 77 5.11.3 Development and Formulation 77 5.11.4 Improving Materials and Processes 77 5.11.5 Other Materials-Based Industries 78 5.12 Role of Bioinformatics in the Biotechnology Value Chain 78 5.13 Bioinformatics Market Segment 78 5.13.1 Databases 78 5.13.2 Hardware 80 5.13.3 Software 80 5.13.4 Bioinformatics Services 81 5.14 Bioinformatics Market Size 82 5.14.1 Sales and R&D 82 5.14.2 IT Budget 83 5.14.3 Projected Bioinformatics Market Size 84 5.15 Global Market Perspective 85 6. Bioinformatics Business 88 6.1 Bioinformatics Business Models 88 6.1.1 Changing Business Models 89 6.1.2 Competition for Pure Play Informatics Companies 91 6.1.3 Non-Profit Organizations 91 6.1.4 In-House Bioinformatics Solutions 91 6.1.5 Large IT Companies 91 6.2 Bioinformatics Target Disciplines 92 6.2.1 Comparative Genomics 92 6.2.2 Pharmacogenomics 92 6.2.3 Functional Genomics 92 6.2.4 Proteomics 93 6.2.5 Structural Genomics 94 6.2.6 Image Informatics 94 6.2.7 Clinical Trial Informatics 95 6.2.8 Cheminformatics 95 6.3 Bioinformatics Architecture 96 6.4 Bioinformatics Applications 97 6.4.1 Data Search Tools 97 6.4.2 Data Visualization Tools 97 6.4.3 Data Mining and Clustering 98 6.4.4 Enterprise Solutions 99 6.4.5 Data Warehousing 99 6.5 Evaluation of Bioinformatics Solutions 99 6.5.1 Requirements of Study 99 6.5.2 Shortlisting the Options 99 6.5.3 Scoring Patterns 100 6.5.4 Performance 101 6.5.5 Data Storage 101 6.5.6 Data Management in Drug Discovery 102 6.5.7 Key Issues in Bioinformatics Data Storage 102 6.6 Convergence of Industries 103 6.7 Proteins as a Driver 104 6.8 Current Bioinformatics Research 104 6.9 New Bioinformatics Modeling Algorithms 105 6.10 3D Modeling 105 6.11 Patenting Bioinformatics Algorithms 106 7. Recent Industry Activity 109 7.1 Collaborations and Acquisitions 109 7.2 Product Development and Launches 111 8. Corporate Profiles 114 8.1 Abbott Laboratories 114 8.2 Abgenix 114 8.3 Ablynx 115 8.4 Accelrys 115 8.5 Affimed Therapeutics 117 8.6 Affitech 118 8.7 Affymetrix 118 8.8 Agencourt Bioscience Corporation 119 8.9 Agensys 120 8.10 Agilent Technologies 120 8.11 Alexion Pharmaceuticals 121 8.12 AlgoNomics 121 8.13 ALLEZ Software 122 8.14 Amgen 123 8.15 Antisoma 124 8.16 Applied Biosystems 124 8.17 Arana Therapeutics 126 8.18 Ariadne Genomics 127 8.19 Array Genetics 127 8.20 Astellas Pharma 128 8.21 AstraZeneca 128 8.22 Automated Handling Systems 129 8.23 Avesthagen, Limited 130 8.24 Bioalma 130 8.25 BIOBASE Biological Databases 131 8.26 BioCarta 132 8.27 Biodatabases (AMITA Corporation) 132 8.28 BioDiscovery 133 8.29 Biogen Idec 133 8.30 BioInformatics 134 8.31 BioInformatics Services 135 8.32 BioInformatics Solutions 135 8.33 Biomax Informatics 136 8.34 BioServe Technologies 136 8.35 Biosiris 137 8.36 BioSoftSolutions 137 8.37 Biotique Systems 137 8.38 BioInvent International 138 8.39 Biosite Discovery 138 8.40 BioWa 139 8.41 BioWisdom 139 8.42 Bio-Xtal 140 8.43 Boehringer Ingelheim 140 8.44 Cambridge Antibody Technology Group 141 8.45 Capital Genomix 141 8.46 Celera Group 141 8.47 Cellectis 143 8.48 Cellomics 143 8.49 CeuticalSoft 144 8.50 Chemical Computing Group 145 8.51 Cimarron Software 145 8.52 CLONDIAG Chip Technologies 146 8.53 CodonCode Corporation 146 8.54 CompuDrug International 146 8.55 Compugen USA 147 8.56 Corimbia 148 8.57 Crucell 148 8.58 CSIRO Bioinformatics 149 8.59 CuraGen Corporation 149 8.60 CyberGene 151 8.61 Cytogen 151 8.62 Data Unlimited International 151 8.63 deCODE Genetics 151 8.64 Decodon 152 8.65 Deltagen 152 8.66 Digilab 153 8.67 DNA Software 154 8.68 DNAPrint Genomics 154 8.69 DNA Star 155 8.70 DxS 155 8.71 Dyax Corp. 156 8.72 Eisai 157 8.73 Elan Corporation 157 8.74 Electric Genetics Corporation 159 8.75 Elusys Therapeutics 160 8.76 Entagen 160 8.77 Entelos 160 8.78 Enzon Pharmaceuticals 161 8.79 Epigenomics 162 8.80 ePitope Informatics 163 8.81 EraGen Biosciences 163 8.82 European Bioinformatics Institute (EBI) Industry Programme 163 8.83 Evolutionary BioInformatics 164 8.84 Genamics 164 8.85 GeneData 164 8.86 Gene Logic 165 8.87 Genentech 167 8.88 Geneva Bioinformatics (GeneBio) 168 8.89 Genmab 169 8.90 GenOdyssee 170 8.91 Genolyze 170 8.92 Genomatica 171 8.93 GenomeQuest 171 8.94 Genomic Solutions 172 8.95 Genomining 173 8.96 Genovac 173 8.97 Genzyme 173 8.98 Geospiza 175 8.99 GlaxoSmithKline 176 8.100 Glycominds 176 8.101 Health Discovery Corporation 176 8.102 Hitachi Corporate Technology Group 178 8.103 IBM Life Sciences 178 8.104 ImClone Systems 179 8.105 ImmunoGen 180 8.106 Immunomedics 181 8.107 Improved Outcomes Software 183 8.108 INCOGEN 184 8.109 Incyte Corporation 184 8.110 Informagen 185 8.111 Ingenuity Systems 185 8.112 InNexus Biotechnology 186 8.113 Insilicos 186 8.114 Intrexon Corporation 186 8.115 Invitrogen Corporation 187 8.116 IO Informatics 188 8.117 Johnson & Johnson 188 8.118 LabVantage Solutions 190 8.119 Lexigen 190 8.120 Lifespan Biosciences 190 8.121 Lion Bioscience 190 8.122 MathEcology 191 8.123 Matrix Science 191 8.124 Medarex 191 8.125 Medicel 193 8.126 MedImmune 193 8.127 Merus 193 8.128 METabolic Explorer 194 8.129 Metahelix Life Sciences 194 8.130 Metalife 194 8.131 Micromet 195 8.132 Millennium Pharmaceuticals 195 8.133 Molecular Connections 196 8.134 Molecular Networks 196 8.135 Molecularware 196 8.136 MorphoSys 197 8.137 Nexus Genomics 197 8.138 Nonlinear Dynamics 197 8.139 Novartis 198 8.140 Ocimum Biosolutions 199 8.141 OmniViz 200 8.142 Partek 200 8.143 PDL BioPharma 201 8.144 Perlegen Sciences 203 8.145 Philogen 203 8.146 Philotec 204 8.147 Prokaria 204 8.148 Quantiom Bioinformatics 204 8.149 Relevant Software 205 8.150 Roche 205 8.151 Rosetta Inpharmatics 206 8.152 Sanofi-Aventis 207 8.153 SBI Science 209 8.154 Seascape Learning 209 8.155 Seattle Genetics 210 8.156 Scil Proteins 211 8.157 Simulations Plus 211 8.158 Spotfire 212 8.159 Strand Life Sciences 213 8.160 Sun Microsystems 214 8.161 Symphogen 215 8.162 Syngene 215 8.163 Tahoe Informatics 215 8.164 Tanox 215 8.165 3rd Millennium 216 8.166 ThromboGenics 216 8.167 Thomson Reuters 217 8.168 TIB MOLBIOL 217 8.169 Trion Pharma 217 8.170 Tripos 218 8.171 UBI Life Sciences 218 8.172 Viventia Biotech 219 8.173 VizX Labs 219 8.174 Wyeth 220 8.175 Xcellerex 220 8.176 Xencor 221 8.177 Xoma 221 8.178 Xpogen 223 INDEX OF FIGURES Figure 4.1: Representation of Biotechnology Market, Geographically, 2008 38 Figure 5.1: Informatics Applications along the Drug-Discovery Value Chain 65 Figure 5.2: Functions of Bioinformatics Software in Research 65 Figure 5.3: EMBL Database Growth, 1995-2008 66 Figure 5.4: The Steps Involved in Bringing a Drug to Market 71 Figure 5.5: The Breakdown of Total Costs in New Drug Development, 2007 72 Figure 5.6: The Role of Bioinformatics in the Biotechnology Value Chain 78 Figure 5.7: Worldwide Pharmaceutical Sales and R&D Expenditures, 2000-2013 83 Figure 5.8: Worldwide Growth in IT Budget, 2000-2013 84 Figure 5.9: Worldwide Bioinformatics Market, 2000-2013 85 Figure 6.1: Steps of a Proteomics Experiment 94 Figure 6.2: Bioinformatics Architecture 96 INDEX OF TABLES Table 2.1: Leading Biotechnology Companies 21 Table 2.2: Total of Domestic U.S. R&D, 2006-2013 24 Table 2.3: Global Biotechnology Market, 2007 24 Table 2.4: SIB Informatics Databases 31 Table 4.1: The U.S. Biotechnology Industry Size and Revenue, 2000-2007 37 Table 4.2: Global Biotechnology Industry Major Segments 39 Table 4.3: Genomics Sector Market Size, 2006-2013 40 Table 4.4: Total Biochip Market, 2007-2013 41 Table 4.5: Selected Competitors in the Biochip Market 41 Table 4.6: Biochip Microarray Products 41 Table 4.7: Bioinformatics Tools 46 Table 4.8: Functional Genomics Companies Building Advanced Integrated Platforms and Substantial Databases 49 Table 4.9: Companies Using New Genomic Tools 50 Table 4.10: Non-DNA–Based Chip Suppliers 51 Table 4.11: Robotics or “Lab-on-a-Chip” Market Sector 51 Table 4.12: Key High-throughput and Systemic Approaches in Genomic Analysis 53 Table 4.13: Pharmacogenomics Segment Players 56 Table 4.14: The Worldwide Market for Pharmacogenomics, 2006-2013 56 Table 4.15: Competitors in the SNP Genotyping Segment 63 Table 4.16: Scanning and Detection Technology Suppliers 64 Table 5.1: Data Sources and Bioinformatic Investigations 68 Table 5.2: Drivers and Challenges of the Bioinformatics Industry 73 Table 5.3: Bioinformatics Activities, Sub-Activities and Key Players 81 Table 5.4: Bioinformatics Market Size, 2006-2013 86 Table 5.5: Cheminformatics Market Size, 2006-2013 86 Table 5.6: In-silico Informatics Market Size, 2006-2013 86 Table 5.7: Bioinformatics Hardware and Systems Market Size, 2006-2013 87 Table 6.1: Alliances between IT/Telecom and Biotechnology Firms 103 Table 6.2: Types of Intellectual Property Protection for Bioinformatics Tools 108 http://www.aarkstore.com/reports/Bioinformatics-Markets-1172.html 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Bioinformatics in Future Medical CareBioinformatics in Future Medical Care Dr.T.V.Rao MD Professor of Microbiology Bioinformatics is emerging science which incorporates information technology applied in biological research to store, collect and retrieve biologically oriented data, to analyze and predict the composition of molecules (nucleic acids, proteins, etc ) and to model biological systems through mathematical, statistical and computer methods. It brings together the fields of Microbiology, Molecular Biology, Bio Technology and Genetics under the fold of computers and software advances. Thanks to James Watson – Crick in basic understanding of the Bacterial DNA (genome), which lead to the basis of coding Chromosomes through the Super Computers. The Bioinformatics is changing the entire concept on gene. In future we may be compelled to view life and disease through the Chemistry of Genes. 1. Computer Speaks on Bio information: With feeding of complicated information to a computer it analyses the facts, it even speaks that life is a pack of information with a clear message that book of the life written in the complex DNA consisting of four letters. A.T.G. C. In future science expects that Physician can solve many mysteries of disease just looking into a computer and the greatest advantage lies in detection of most of the Genetic disorders. In future many diagnostic tests may be done by Bio informed computers, the chip locating abnormal base pairs at different gene locations. 2. Bioinformatics and Proteomics: The knowledge of information about the Genes and Science of Genomics lead to science of proteomics which analyses every protein in human functional dynamics. The science of proteomics will revolutionise the understanding of Hormones, Immunoglobulins targeting infections and Enzymes that build or break energy reserves. We are aware now, that there are too, many proteins which guide our life (50,000 to about 2 millions). But few Proteins play the real orchestra, modifying different actions in day to day life. Already many Bio Technology firms have started proteomics programme, if the events succeed to desired expectations there will be better quality of life serving to minute details. 3. Bioinformatics in Gene Therapy: Gene therapy suffered with many problems in the past will have a greater revival with better understanding of human genome. Many Gene therapy trails will become virtual realities. 4. Drugs for Future: At present we use several drugs with a broad understanding to target only 500 proteins in the body, out of the 30,000 proteins already known, with advances in Genomic Medicine there will be more rational approach in drug discovery and clinical application. In future it is possible to target the diseases like Diabetes and Cancer before the onset of physical disease (phenotypic expression). The scientific visions include interfering with the sick cell, sparing the healthy cells, making the therapy least toxic and harmful. The discovery in this direction lead to discovery of Monoclonal antibodies, choosing the particular receptor on the cancer cell responsible for propagation of disease. With better understanding on Bioinformatics Anti Cancer Drug discoveries will be target oriented with least toxic effects on normal cells. The following diseases are being targeted by many drug firms with Bioinformatics include: AIDS, Mental Illnesses, Auto Immune Disease, Obesity, Alzheimer’s disease, Heart Disease and Parkinson’s disease. Role of Bioinformatics – in the future Medical care. The art of Medicine will be enriched with biology as source of future developments in Medicine in the near future, every standard text book on Medicine, articles, journals published from reputed medical institutions emphasize the origin of disease on Genetic basis locating, few base pairs of Genes responsible for any complicated disease. The treatment approaches will be on targets of pathological process rather than vague remedies, the need for Bioinformatics capabilities has been highlighted by availability of Genomic information from Human genome project. Let there be more workshops, CME’s & Seminars on orientation of Bioinformatics and Biomedicine to our Doctors. We teachers in medicine should put our best efforts in understanding the role of Genes in disease and spread the message to our students, so that we do not remain isolated from the progress of Science for human benefit. Email ; doctortvrao@gmail.com I am a Medical Microbiologist working as Professor of Microbiology in a Indian Medical College, Interested in educating on Infectious diseases Read More →
Bioinformatics Tools Cutting Cost & Time for Drug DiscoveryAccording to a new research report – “Global Bioinformatics Market Outlook”- by RNCOS, the worldwide bioinformatics industry has seen a double-digit growth rate in the past few years and is forecasted to record a stupendous CAGR of 16.3% from 2007 to 2010. The report says that the pressure of developing new drugs is intensifying on the global drug industry as existing drugs will go off-patent soon and costs of R&D are escalating sharply, making the companies to switch to bioinformatics. Therefore, the global bioinformatics industry will be led by increasing outlay on obtaining the bioinformatics tools and services by pharmaceutical and biotechnology companies to accelerate their drug discovery process. Currently, the report says, an average drug takes approximately 10 years to reach clinical phase from the discovery phase and costs between US$ 400 Million and over US$ 1 Billion to the company, with much of the spending incurred at the final stages of the development. However, this huge cost of the drug development process can be cut down substantially by using bioinformatics and Computer-Aided Drug Design. For instance, the application of bioinformatics in the discovery and development of some new drug may reduce the annual cost and time by 33% and 30% respectively. Other than cost and time benefit, blending of IT and life sciences, on one side, is helping the pharma companies to successfully overcome the challenges faced in collecting, processing, storing and analyzing data during the drug development process, and on the other side, pushing up the bioinformatics market, says the RNCOS research. However, as the industry is at a nascent stage in most parts of the world, the market growth is hard to predict but it will certainly grow at a double-digit rate by 2010. The report gives an exhaustive account on the global bioinformatics industry and provides forecast on its various segments, including drug patent expirations, bioinformatics market by segment, analysis software & service market, analysis software & service market by application, IT infrastructure & other services market, and drug delivery market. “Global Bioinformatics Market Outlook” gives updated and detailed information on the industry and examines the emerging market trends. It offers an insight into the market and examines the bioinformatics market in major countries. For more information visit: http://rncos.com/Report/IM554.htm Current Industry News: http://www.rncos.com/Blog/ Read More →
New BoostServe™ Extreme Provides 1000x Acceleration for Selected Bioinformatics ApplicationsRedwood City, CA & Singapore – Progeniq Pte Ltd, a leader in providing accelerated computing solutions, today launched the BoostServe™ Extreme for the Bioinformatics industry. The product gives servers and desktops processing power equivalent to over one thousand CPU cores in less than one tenth the space of a server rack. “The BoostServe™ Extreme launch is a major milestone in Progeniq’s aggressive R&D effort, delivering high-end, accelerated solutions for mid-sized research institutes at an unbeatable space and power footprint” said Progeniq’s VP Business Development, Mr. Teck Hiong Chua. “Other solutions in the market require at least one rack (42U) of server space to deliver 1,024 CPU cores of performance. The BoostServe™ Extreme provides a 1,000 CPU equivalent performance in just a tenth of that space. By installing 10 chained BoostServe™ units, the overall solution can scale linearly by ten times to 10,000 CPU core performance in each rack of datacenter space, presenting unprecedented scalability.” BoostServe™ Extreme accelerates computationally intensive Bioinformatics applications like Smith-Waterman, ClustalW, HMMsearch, and HMMpfam, over one thousand times faster than a single CPU core. It consumes six hundred times less power, and slashes equivalent performance acquisition cost by 90%. Annual maintenance cost is estimated to be 80% lower than if the same performance had been achieved by CPUs alone. Read More →
Bioinformatics Jobs
Job Posting – Scientific Database Curator Bioinformatics – Menlo Park, CASRI International is a world-leading independent research and technology development organization with almost $300 million in annual revenues. SRI performs multidisciplinary, client-sponsored research and development for government agencies, commercial businesses, and private foundations. To help bring its innovations to market, SRI licenses its technologies, fosters strategic partnerships, and creates new companies. Together, SRI and its subsidiary Sarnoff Corporation have spun off about two dozen companies to date. Innovations from SRI touch our lives every day. Achievements include the invention of the computer mouse, an important role in the birth of the Internet, and automated check processing for banking. Drugs discovered and developed by SRI are improving and saving lives around the world. The institute’s education research is helping improve teaching and learning. SRI has met mission-critical national defense needs for decades, from the Cold War to today’s war against terrorism. SRI, a nonprofit corporation, was founded in 1946 as the Stanford Research Institute, and became independent from Stanford University in 1970. For additional information, please visit us at http://www.sri.com SRI International’s Information and Computing Sciences Division develops and applies technologies to meet client needs in machine intelligence, speech and natural language, perception and visual sciences, bioinformatics, formal methods, and computer security. The ICS Division is organized into three laboratories, all world leaders in their respective fields: the Artificial Intelligence Center; the Speech Technology and Research (STAR) Laboratory, and the Computer Science Laboratory. For additional information, please visit the Information & Computing Sciences Division website: http://www.sri.com/icsd The HumanCyc project seeks a database curator to work on expanding and refining the HumanCyc database (see www.HumanCyc.org). HumanCyc describes the metabolic pathways and enzymes of Homo sapiens. Essential Functions: We seek a self-motivated individual whose primary responsibility will be to research human pathways and enzymes in the biomedical literature, and to evaluate, organize, and add that information to the HumanCyc database. Other duties will include contributing to the design of the graphical interface to the HumanCyc DB, and working with other database curators at SRI to develop standard operating procedures for database curation. The successful candidate will have a demonstrated ability for independent, critical thinking, and excellent communication and teamwork skills. Experience and Education Requirements: Ph.D. in an area related to human metabolism. Strong computer literacy. Bioinformatics experience would be a plus, but is not essential. How to apply: Apply via our web page www.sri.com/jobs to job number 100415 SRI is an equal opportunity employer. www.sri.com/jobs Read More →
Job Posting – Systems and Algorithms Engineer at DNA startup – Palo Alto, CADoes building great things run in your DNA? DNAnexus is a start-up in biocomputation aiming to transform the future of genomic analysis. The rapid advancement of DNA sequencing technologies will one day enable one of the holy grails of medicine: the personal genome. But it is also unleashing a torrent of data that needs to be managed and analyzed. DNAnexus is leveraging modern web technologies on a cloud computing infrastructure to create a compute platform for the genome era. We are backed by a collection of leading investors, including early-stage VC First Round Capital. DNAnexus comprises a team of individuals that include MIT alumni, Stanford PhDs in computational genomics, and Professors in Computer Science, Genetics, and Pathology, and we’re passionate about changing the future of DNA analysis and genetics. Interested in joining in our effort? We’re currently looking for individuals that fit the following profiles: Systems and Algorithms Genius DNAnexus is recruiting an exceptional developer to join the team in designing and implementing methods for large scale analysis of DNA sequence data. The ideal candidate would be extremely strong in building complex models for deciphering noisy datasets, and be comfortable with the idea of channeling Petabytes of data and distributing workloads onto 1000s of machines. Also, the following should resonate with you: - You are fluent in C/C++ and understand the implications of your coding style down to the level of machine code. - You are comfortable with distributed systems, from consistency and synchronization in multi-threaded applications to concurrent database design, cluster computing, and distributed file systems. - You could write your own generic balanced binary trees and suffix trees. Dynamic programming and divide and conquer come easily to you. You understand the intricacies of dynamic hash table design. - You have practical experience with Bayesian modeling and inference, machine learning, statistics, and optimization. A background in bioinformatics or DNA sequence analysis is a plus, not a necessity, but you must be comfortable learning a new domain quickly. If you enjoy working in a fast-moving startup environment and want to apply your talent to an area of great significance, DNAnexus is for you! Location: Palo Alto, CA More info: http://dnanexus.com/careers Read More →
Job Posting – Bioinformatics Scientist – FremontBioinformatics Scientist Job #09-035 The Institute for Systems Biology (ISB) is an internationally renowned non-profit research institute dedicated to the study and application of systems biology. Founded in 2000 in Seattle, Washington, ISB’s goal is to unravel the mysteries of cellular networks and identify strategies that will usher in a new era of P4 Medicine (predictive, preventive, participatory and personalized medicine). ISB is seeking a bioinformatics scientist for a multi-institution project which aims to uncover the mechanisms underlying AIDS vaccine immunogenicity. This project, funded by the Bill and Melinda Gates Foundation, employs systems biology and gene expression microarray approaches to identify novel genes and pathways which, when activated, lead to enhanced vaccine-induced immune responses. This individual will be responsible for analyzing gene expression microarray and immunological datasets collected by our collaborators for human and NHP responses to model vaccines. A primary focus will be integrating the microarray data with the immunological measurements (such as percentage of antigen-specific responding CD8+ T-cells) to identify gene expression signatures for enhanced immune responses. Additional efforts will focus on identifying gene expression signatures that are consistent across vaccine models and experimental model systems, and interpreting the biological significance of the signatures. The individual will be expected to perform analysis in a transparent manner and to clearly communicate analysis results to collaborating scientists. The individual will also be expected to develop tools and facilities to make data and analysis results easily accessible to other scientists. Finally, the individual is expected to take an active interest in the biology and to interpret analysis results in a biological context. While a strong background in Immunology is not required for this position, enthusiasm and interest in Immunology is required. We are seeking an individual who will independently dive into the biological literature to gain then necessary background knowledge as needed for the project. Applicants must hold an MS or Ph.D. degree in Bioinformatics, Biology, Engineering, Physics, Computer Science, Mathematics, or a related scientific discipline pertinent to the position. Some experience working with microarrays or complex biological datasets is required, as is fluency with basic statistical methods. Applicants must also have experience with computational analysis frameworks such as R or MATLAB. Familiarity with bioinformatics tools like Bioconductor and Cytoscape is a bonus. A successful candidate will have demonstrated success in scientific creativity, collaboration, and independent thought. ISB is an M/F/D/V/EOE. Please visit the Careers page of our website at http://www.systemsbiology.org/careers for application instructions. Please include Job # 09-035 in all correspondence regarding this position. Read More →
Job Posting – Software Engineer – PhiladelphiaBioNanomatrix seeks highly innovative and motivated individuals in the fields of cancer genomics, epigenetics, micro/nanotechnology, polymer/surface chemistry, optics, system automation engineering, software engineering, and bioinformatics. We are looking for talented, creative, results-driven individuals who enjoy being part of an interdisciplinary team. BioNanomatrix is an equal opportunity employer. We offer a positive, diverse and exciting work environment with competitive salary and benefits and the potential for career growth. The following full time software engineering position is currently available. If you are interested, please send a cover letter, resume and salary requirements to hr@bionanomatrix.com. Description You will be responsible for providing support related to all aspects of software analysis, design, development, documentation, and configuration management of the software deployed with our product. You’ll be responsible for developing new functionality for a high throughput system, followed by upgrades, testing, debugging and enhancements to our deployed software applications. The position also includes writing or reviewing specifications, analysis, testing and design of the software. It requires the ability to work well with beta sites when providing support, and with our clinical consultants when writing or reviewing specifications. Specific Duties: • Participate in the preparation of system requirements and design specifications. • Engineer software in C++, .NET environment, adhering to our software design specifications • Apply software engineering skills and tool knowledge to produce a system that meets the stated requirements and controlled standards. • Provide software engineering and product expertise throughout the lifecycle of assigned projects, including code optimization, documentation and testing. • Adhere to configure management practices. • Participate in the preparation of project plans, status and statistical reports, etc. • Assist in the resolution of product issues escalated from alpha and beta sites, as required. • Learn new skills as required, particularly moving in the direction of multiple device integration. Required Education and/or Experience • BS in Computer Science or 5 years of Software Engineering experience. Masters/PhD a plus. • Experience in machine learning and statistical methods a plus. • Minimum 3 years of software engineering experience required • 1 year Microsoft Dot Net experience required • 2 years MS Visual Studio experience required • 1-2 years C++ experience required • Microsoft Certified Engineer preferred • Biological sequence analysis experience preferred • Must have excellent communication skills • Must be able to work in a team environment • Must be able to adhere to deadlines hr@bionanomatrix.com Read More →
Job Posting – Research Associate – Molecular Biology – Cambridge, MADESCRIPTION: Designing experiments, as well as optimizing and performing various assays including but not limited to: quantitative real-time PCR, siRNA /ShRNA/cDNA transfection and transduction, luciferase reporter assay, immunostaining. Applying various genetic and chemical tools to dissect cancer and signal transduction pathways in different in vitro cancer models to elucidate drug mechanism of action and mechanisms of drug sensitivity and resistance. Participating in the development of novel biological and chemical assays/screens to accelerate the current drug and biomarker discovery effort. SKILLS Expertise with basic molecular and cellular biology techniques such as molecular cloning, mammalian cell culture, compound efficacy profiling, viral based gene delivery, real-time qPCR and RNAi technology is required. The ideal candidate will have excellent analytical and organizational skills as well as good oral and written communication skills. A familiarity with data analysis software and basic bioinformatics packages is expected. Highly motivated, fast learner, ability to work independently and as a team member and ability to multi-task are key qualities. EDUCATION B.S. or M.S. in Cell/Molecular Biology, Biochemistry, Genetics, or a related field with at least three years of academic or industry lab experience. Must be US Citizen or Green Card Holder and Live Local Please submit resume as word attachment to jobs@cwsciences.com Commonwealth Sciences, Inc. http://www.cwsciences.com Read More →
Genoinformatics News
Mitrionics Announces Hybrid Computing Development System Based on SGI Altix XE 320 Quad-Core, Dual-Socket Server With Low Latency Front Side Bus (FSB) InterfaceMitrionics, Inc., developer of the Mitrion™ Virtual Processor and the Mitrion Software Acceleration Platform, today announced its Mitrionics MVP622 Hybrid Computing Server accelerated computing solution based on SGI® Altix® XE 320 server with a Quad-Core Intel® Xeon® 5420 Processor. The Dual-Socket Accelerated Server will include licenses for two Mitrion Virtual Processors (MVP), the XtremeData, Inc.™ XD2000i™ Front Side Bus (FSB) socket based accelerator hardware, each with dual Altera® Stratix™ III FPGAs, plus the Mitrion Software Development Kit with parallel programming language and working example code. This new MVP622 Hybrid Computing Server is the first of its kind that integrates hardware with an MVP, and a complete parallel programming environment in a single, off-the-shelf solution. “The world of computation is changing for good reasons,” stated Mike Calise, executive vice president and general manager of Mitrionics, Inc. “The industry has finally arrived at the point where hybrid computing is no longer relegated to exotic supercomputers. This package is commercially available and inexpensive, and since we’re solving the programming hurdle for FPGAs, makes the greenest accelerator alternative accessible to our customers.” “Mitrionics and SGI have worked together for years bringing the best Reconfigurable computing solutions to customers,” said Bill Mannel, director of server marketing, SGI. “By coupling the Altix ® XE 320 server with the new MVP Hybrid Computing Development System, we marry the advantages of the Altix XE 320, which seeks to optimize data center space while minimizing the power footprint, with the latest FPGA developments in the market today.” “We are starting to see increased adoption of accelerators of all types, and the FPGA offerings from Mitrionics might be particularly compelling for applications such as genome informatics or large-scale internet search,” said Addison Snell, VP of Tabor Research. “The fundamental difference for recent FPGA adoption lies in the reduced memory latency handled well by using a socket approach. These emerging, non-traditional application areas represent the highest potential growth in high-performance computing.” Mitrionics Hybrid Computing Development Systems are designed for industry, academics, government agencies, genome centers, data services providers, and independent software vendors (ISVs) that are interested in exploring the benefits of breakthrough hybrid computing architectures in practical workstation or server configurations. The applications that benefit from a system with at least two optimized compute processor types are those within genome informatics, Internet data processing, business process optimization, and most non 64-bit floating point HPC applications. These demanding integer-centric codes benefit from the variable bit width operations and fine grain parallelism inherent to Altera FPGA-based co-processors tightly coupled with Intel’s fastest CPUs. The system allows you to write accelerated algorithm code for a dedicated MVP data parallel co-processor within a fully integrated XD2000i “In-Socket Accelerator” (ISA) from XtremeData, Inc. This Altera based ISA is tightly “memory coupled” to the world’s fastest CPU’s from Intel through the industry standard front side bus (FSB) interface. The dual-socket servers can be configured to operate standalone or stacked in a cluster for highly dense green computing. The Mitrionics MVP622 Hybrid Computing Server is scheduled for availability in Q4 2008 with a list price of $24,900 USD. “The fast fabric and I/O capabilities of Stratix III FPGAs are validated in the Mitrionics platform by achieving FSB speed,” said Dr. Misha Burich, Altera’s senior vice president of research and development. “Stratix III FPGAs fully integrated into the XD2000i ISA demonstrate the benefits of the digital signal processing architecture for algorithms with floating point data.” Mitrionics MVP622 Hybrid Computing Server details – Dual Mitrion Virtual Processors – Mitrion Software Development Kit with one year email support – SGI Altix XE 320 dual socket server with single 2.5GHz quad-core Intel Xeon 5420 CPU, 4GB DDR2 800 (2X2 GB) memory – 250GB 7200RPM SATA Hard Disk Drive, with an optional second disk drive per system. – XtremeData XD2000i in-socket accelerator with dual Altera Stratix III 3S260E FPGAs, 16MB SRAM – CentOS 5.1 Linux Operating System – 1U Standard Rack Height – 650 Watt Autoswitching power supply – Optional interconnect and I/O expansion via on-board InfiniBand 4x DDR and a low-profile, half-length PCIe x8 Gen2 expansion slot – Optional second complete system in the same 1U chassis About Altera Altera Corporation (NASDAQ: ALTR) programmable solutions enable system and semiconductor companies to rapidly and cost-effectively innovate, differentiate and win in their markets. Find out more at www.altera.com. SGI – Innovation for Results™ SGI (NASDAQ: SGIC) is a leader in high-performance computing. SGI delivers a complete range of high-performance server, visualization and storage solutions along with industry-leading professional services and support that enable its customers to overcome the challenges of complex data-intensive workflows and accelerate breakthrough discoveries, innovation and information transformation. SGI solutions help customers solve their computing challenges whether it’s enhancing the quality of life through drug research, designing and manufacturing safer and more efficient cars and airplanes, studying global climate change, providing technologies for homeland security and defense, or helping enterprises manage large data. With offices worldwide, the company is headquartered in Sunnyvale, Calif., and can be found on the Web at sgi.com. About XtremeData XtremeData, Inc. creates hardware-accelerated database analytics appliances and is the inventor and leader in FPGA-based in-socket accelerators (ISAs). The company offers many different appliances and FPGA-based ISA solutions for markets such as decision support systems, financial analytics, video transcoding, life sciences, military and wireless. Founded in 2003, XtremeData is privately held and has two established locations. Headquarters are located in Schaumburg, Illinois, and a software development location in Bangalore, India. For more information, visit www.xtremedatainc.com. About Mitrionics Founded in 2001 and privately held, Mitrionics offers accelerated hybrid computing solutions. The Mitrion Virtual Processor (MVP) and the Mitrion Software Acceleration Platform accelerate a wide range of computing applications by exploiting the massively parallel and limitless internal bandwidth of standard FPGA architectures. Our products and services deliver a greener computing alternative, enabling 10x-100x performance increases and 90% less power consumption. Mitrionics’ customers are focused on adopting hybrid computing architectures to meet the exponential rise of compute requirements without adding additional watts to the computer system. The most noted users of MVP come from the areas of genome informatics, internet data processing and business process optimization. Mitrionics has key industry partnerships with processor companies Intel, AMD, Xilinx, and Altera, systems vendors HP and SGI, and accelerator module suppliers XtremeData and Nallatech. Mitrionics is privately held and located in Lund, Sweden and Los Gatos, CA. For information, visit the company Web site at www.mitrionics.com, or call 408-395-3247 408-395-3247, or email: info@mitrionics.com Mitrionics, Mitrion, Mitrion Platform, Mitrion Virtual Processor, and Mitrion Software Development Kit are trademarks of Mitrionics, Inc. All other trademarks are property of their respective owners. Read More →
Cited for two of the ‘best conferences’ in genome biology, CSHL gears up for 2nd annual Personal Genomes meetingFor decades, scientific meetings at Cold Spring Harbor Laboratory ( CSHL ) have been held in great esteem by scientists for their role in shaping the agenda of molecular biology. Their reputation for relevance continues, as evidenced by results of a survey of nearly 1,000 attendees of biology meetings over the last year. Published in the September issue of Genome Technology magazine, the survey identified two CSHL conferences in genomics as the best in their categories. Based upon a variety of criteria such as quality of speakers, presentation of new data and scientific results, networking opportunities, quality of posters, and overall “bang-for-the- buck” impact, CSHL’s “Biology of Genomes” meeting held annually in early May was a standout winner, ranked as the “most recommended” among general genomics meetings. A second CSHL meeting, “Genome Informatics,” held at the end of each October, was the “most recommended” in the Bioinformatics/Information Technology category. Excitement about 2nd ‘Personal Genomes’ meeting These results were announced as preparations reached their final stages for another genomics-related meeting at CSHL. From the 14th to the 17th of September, the Laboratory will host the second annual “Personal Genomes” meeting, which, according to its organizers, will build upon the excitement generated at the inaugural meeting last October. An editorial in the journal Nature appearing just after that gathering disbanded, late last October, confessed to initial skepticism about whether such a meeting was justified in view of the newness of the field and the paucity of results to date – at the time, the full genomes of only four people had been completed and made public. But, Nature assured readers after its reporter attended the meeting, participants came to understand that in fact the meeting was overdue, if for no other reason than the fact that “increasingly, private companies are offering personal genome scans and genetic tests for sale – and consumers are buying them.” As Nature opined, reflecting the view of many at the Personal Genomes meeting, “scientists can and should help the public sift through” newly available ( and often quite fragmentary ) genomic information generated for sale by a growing number of start-ups. At the second Personal Genomes gathering, which begins this evening and continues until Thursday, it is almost certain that participants will discuss these commercial developments, the pace of which has only accelerated in the interim. About the ‘Personal Genomes’ Meeting About 200 participants are expected to attend the four day-long “Personal Genomes” meeting, which has been organized by a renowned team of scientists, including Dr. George Church from Harvard University, and Dr. Elaine Mardis from Washington University, among others. The meeting will open with introductory remarks by CSHL’s Dr. James Watson, whose own genome was the first to become publicly available, making him the subject of last year’s inaugural meeting. Dr. Church, a genetics pioneer whose work integrates biosystems-modeling with synthetic biology and personal genomics, will give an overview of the field’s status in available technology and its current applications. Other notable technology-oriented speakers include Dr. Jonathan Rothberg from Ion Torrent Systems, Inc., and Dr. Steven Turner of Pacific Biosciences, who will discuss “third-generation” sequencing platforms that will soon enter the marketplace. Many genomics scientists working on cancer are trying to unlock the mystery of cancer’s molecular origins and make-up. Molecularly speaking, cancer is not a single disease. Two patients with lung cancer, for example, might have very different diseases stemming from different mutations, and so might not respond the same way to a drug. Dr. Mardis, who is the co-director of Washington University’s Genome Sequencing Center, will present on her group’s efforts to catalogue all mutations in a quartet of breast cancer patients. The keynote speech on Tuesday will be given by Dr. Thomas Caskey of University of Texas Health Science Center. “Dr. Caskey was one of the early planners of the Human Genome Project,” explains Dr. Mardis. “Now that we are at a stage when genomes are being sequenced in weeks and for medical purposes such as understanding disease causation, his talk will offer a very unique perspective on the past and the future of personal genomes.” The line-up of speakers includes other preeminent scientists in the field such as Dr. Richard Gibbs, Director of the Human Genome Sequencing Center at the Baylor College of Medicine who will describe his group’s work on sequencing genomes of patients with disease caused by defects in single genes; Dr. Steven Brenner, of UC, Berkeley, who is developing a public database of human genetic variation and its effect, drawing from databases, diagnostic laboratories, and the scientific literature to interpret human genomics data; and many others. A session on the ethical challenges presented by personal genomes will feature a panel of scientists, ethicists and science writers. “Fostering this type of cross-disciplinary discussion and debate is one of the strengths of CSHL’s meetings program,” says David Stewart, Executive Director of Meetings and Courses at CSHL. “This is where different fields are brought together and driven forward.” The results of Genome Technology’s survey would seem to bear him out. For more information on attending the conference or to find out about meetings topics and talks for potential news stories, please contact Peter Tarr ( tarr@cshl.edu ) or Hema Bashyam ( bashyam@cshl.edu ) at CSHL’s Public Affairs office ( 516-367-8455 516-367-8455 ). Cold Spring Harbor Laboratory ( CSHL ) is a private, not-for-profit research and education institution at the forefront of efforts in molecular biology and genetics to generate knowledge that will yield better diagnostics and treatments for cancer, neurological diseases and other major causes of human suffering. For more information, visit www.cshl.edu. Read More →
Chemoinformatics News
NOESIS TO BUILD UPON OPENEYE’S CHEMINFORMATICS TOOLKIT OECHEMOpenEye Scientific Software, Inc., the developer of innovative molecular modeling and cheminformatics solutions for drug discovery research, and Noesis ChemoInformatics Ltd, a new developer of lead discovery software emphasizing knowledge extraction and management, today announced they entered into an agreement to allow the incorporation of OpenEye’s OEChem into Noesis’ NSISToolkit. OEChem, OpenEye’s programming library for chemistry and cheminformatics, will provide functionalities including SMILES parsing, SMARTS compiling, and substructure searching within NSISToolkit, the flagship product from Noesis that supports compound selection, molecular library and de novo design. “We are very pleased that OEChem’s speed, flexibility and robustness were among the key factors in Noesis’ decision to use our cheminformatics library within its NSISToolkit,” said Dr. Matthew Stahl, Senior Vice President of OpenEye Scientific Software, Inc. “Most of OpenEye’s technologies are made available as toolkits to enable the kind of custom solutions that Noesis creates.” He concluded, “OpenEye remains committed to providing scientifically rigorous toolkits to both end users and third party developers and we look forward to seeing the success of the new Noesis lead discovery tools.” Christos Nicolaou, Chief Scientific Officer and Founder of Noesis, continued: “NSISToolkit provides applications that aid in the identification and optimization of lead compounds through pharmaceutical knowledge extraction, reuse and management. Such high end applications make use of several fundamental cheminformatics functionalities including substructure mining, compound clustering and chemical scaffold extraction which, in turn, need quick, robust and accurate substructure searching capabilities and general molecular manipulation. The incorporation of OEChem allows NSISToolkit to expand its offerings and provide improved performance to match its users’ needs and expectations.” About OpenEye OpenEye Scientific Software Inc. is a privately held company headquartered in Santa Fe, New Mexico, with offices in Boston, Massachusetts and Strasbourg, France. It was founded in 1997 to develop large-scale modeling applications and toolkits. Primarily geared towards drug discovery and design, areas of application include chemical informatics, structure generation, docking, shape comparison, charge & electrostatics and visualization. The software is designed for scientific rigor, as well as speed, scalability and platform independence. OpenEye makes most of its technology available as toolkits – programming libraries suitable for custom development. OpenEye software typically is distributable across multiple processors, supports 64-bit processing, and runs on Linux, Windows and Mac OS X, as well as HP, IBM, SGI and SUN flavors of UNIX. For further information on the company and its products, see www.eyesopen.com. About Noesis CNI Noesis Chemoinformatics Ltd is a new research informatics company active in the chemoinformatics and general life sciences fields. The company has extensive experience in the R&D of algorithms and computational systems that support human experts in their decision making process. Noesis technology combines knowledge discovery and management techniques with expertise in biological and chemical data and processes to develop efficient chemoinformatics solutions. Its flagship product, NSISToolkit, addresses fundamental needs of the drug development industry, namely compound selection, lead identification and optimization as well as knowledge management and reuse. The company was founded in 2006 in Nicosia, Cyprus. For more information please see www.noesisinformatics.com. Read More →
GVK Biosciences (GVK BIO) along with Wyeth Research won the prestigious European Outsourcing Award 2009GVK Biosciences (GVK BIO) along with Wyeth Research won the prestigious European Outsourcing Award 2009 for the Best New Partnership. The award was received by Manni Kantipudi, President, GVK BIO at a ceremony held at the Intercontinental Grand, Madrid, on 14th October. GVK BIO-Wyeth came out as winners amongst several competing entries. Earlier in the year, GVK BIO had filed its nominations under two categories “Best New Product” and the “Best New Partnership/Acquisition/Merger”. GVK BIO’s entry for the “Best New Product” was its innovative “Clinical Biomarker Database” developed together with a Big Pharma and the US FDA. “GVK BIO – Wyeth: Value co-creators” was GVK BIO’s nomination for the “Best New Partnership”. GVK BIO were declared finalists in both categories. “We are delighted to have won the Best New Partnership Award along with our partner, Wyeth Research. This award is recognition of the dedication and commitment of our employees in understanding and delivering to our customers’ expectations. We are proud that we have been considered alongside with Wyeth and thank them for their faith and commitment to this collaboration” said Manni Kantipudi, President, GVK Biosciences. The nomination for the Best New Partnership was put together by GVK BIO and Wyeth. It covered the GVK BIO-Wyeth trendsetting deal of 150 synthetic chemistry deal in 2006, further expansion of the collaboration to chemoinformatics and modeling. In 2008, Wyeth and GVK BIO entered into a collaboration based on a risk sharing model to identify and optimize lead series. About European Outsourcing Awards Launched in 2005, The European Outsourcing Awards recognize new and significant developments in Contract Services and reward successful companies for their outstanding contributions throughout the year. The Awards recognize excellence in R&D, marketing, business and technology across the pharmaceutical outsourcing, biopharmaceutical and clinical trial industries. The awards function is alongside the annual CPhI/ICSE/PMEC . About GVK BIO GVK Biosciences (GVK BIO) is Asia’s leading research services organization. GVK BIO provides a broad spectrum of services, stand-alone and integrated, across the R&D value chain. GVK BIO’s diverse portfolio of more than 100 customers includes Big Pharma companies, Agri & Life-sciences companies, leading biotechs and academic institutions. Spread across five locations in India, GVK BIO is headquartered at Hyderabad, India and employs 1500+ people to assist clients accelerate their research and success. Read More →


