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Bioinformatics: From Genomes to Drugs
 
 
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Bioinformatics: From Genomes to Drugs [Hardcover]

Thomas Lengauer (Editor), Raimund Mannhold (Series Editor), Hugo Kubinyi (Series Editor), Hendrik Timmerman (Series Editor)

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Book Description

3527299882 978-3527299881 July 25, 2001 1
Bioinformatics - the use of computers to retrieve, process, analyze and simulate biological information - promises to revolutionize the process of drug discovery and development. This book provides a broad, application-oriented overview of this technology. Contributions by internationally renowned specialists in the field afford a detailed insight into single bioinformatics components and algorithmic methods. In addition, the state-of-the-art in bioinformatics is evaluated equally from a global view by introducing real application scenarios such as genome projects that require the use of a whole set of bioinformatics tools.

The profound knowledge on bioinformatics presented here not only enables readers to go beyond a mere push-button approach to using bioinformatics software and interpreting the data generated appropriately. It is also essential to assess the potential and limitations of today's bioinformatics software and future challenges. Directed to all those involved in the use or development of new bioinformatics tools - scientists and managers from the fields of molecular biotechnology, pharmaceutics, and medicinal chemistry - this book will lead one step further on the way to rational drug design

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Editorial Reviews

Review

"...focuses on...the ways that structure the field of bioinformatics..." (SciTech Book News, Vol. 26, No. 2, June 2002)

"...gives a good feel for the complexity of the task that faces us in handling the ever increasing volumes of data..." (Human Genetics, No.111, 2002)

"The great demand...for scientists skilled in bioinformatics has created a need for good books on the techniques of bioinformatics...one such book is the multi-authored, two-volume set edited by Prof. Dr. Lengauer..." (Journal of Medicinal Chemistry, Vol. 46, No. 11)

"...a good reference book for practising bioinformaticians and students of bioinformatics..." (Addiction Biology, June 2003)

About the Author

Thomas Lengauer (born 1952) studied Mathematics and Informatics at Berlin and Stanford. After a brief stay at the Bell Laboratories, he held various academic positions at the universities of Saarbruecken, Paderborn, and Bonn. From 1992 to 2001, he headed the Institute for Algorithms and Scientific Computing at the GBM in Sankt Augustin (Germany). Since 2001, he is director at the Max-Planck-Institute for Informatics in Saarbruecken (Germany).
Professor Lengauer has recently been awarded the Konrad-Zuse-Medal, the highest honor of the German Informatics Society.

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Inside This Book (learn more)
First Sentence:
With biological research increasingly focusing on molecular biology and genetics more and more resources are becoming available for this research community to use. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
other assembly programs, similarity searching algorithms, triplet composition, molecular biology resources, base quality values, first test scenario, contact capacity potentials, docked complexes, predictive docking, protein structure prediction methods, triplet preferences, splice pairs, object loader, new contig, drug target candidates, query molecule, meta definition, protein threading, sequence assembly program, rotamer library, daylight fingerprints, docking software, dynamic programming matrix, gene prediction programs, token server
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Nucleic Acids Res, Mol Biol, Proc Natl Acad Sci, Protein Sci, Protein Eng, Journal of Computer-Aided Molecular Design, Nat Genet, Mot Biol, New York, Thomas Lengauer, Curr Opin Struct Biol, Current Opinion, Journal of Computational Chemistry, Genome Res, Hum Genet, Future Trends, Nucleic Ands Res, World Scientific, Analyzing Regulatory Regions, Celera Assembler, Comput Appl Biosci, Genorne Res, Matthias Rarey, Mol Biel, Nat Struct Biol
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