Protein-protein Interactions and Networks: Identification, Computer Analysis, and Prediction

Product Description

The biological interactions of living organisms, and protein-protein interactions in particular, are astonishingly diverse and present numerous challenges to modern biomolecular research because of their complexity. Analysis of patterns and principles governing these interactions has prompted a rapid development of computational methods to identify protein interaction partners and to understand the roles of individual components of protein interaction networks in cell functions.

This book integrates different approaches from bioinformatics, biochemistry, computational analysis and systems biology to offer the reader a comprehensive global view of the diverse data on protein-protein interactions and protein interaction networks. It brings together the descriptions of experimental techniques and expounds on different computational algorithms for protein network analysis and prediction of protein and domain interactions, with each chapter containing a description of the problem, a review of methods and algorithms, a list of resources and current conclusions.

Features

• Reviews experimental techniques for identification of protein interactions

• Discusses protein interaction databases and methods of integrating data from diverse sources

• Describes computational methods to predict protein and domain interaction partners

• Explores the properties of interaction interfaces and highlights approaches to model the assembly of protein complexes

• Examines the topological and dynamical properties of protein interaction networks and presents the tools for comparative analysis of these networks

Written by leading experts, Protein-protein Interactions and Networks provides a broad, thorough and multidisciplinary coverage of this field. It will be invaluable to researchers from academia and the bioinformatics industry, as well as an excellent auxiliary text for graduate students studying the topic.

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Bioinformatics Tools Cutting Cost & Time for Drug Discovery

According 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/

New BoostServe™ Extreme Provides 1000x Acceleration for Selected Bioinformatics Applications

Redwood 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.