商品簡介
Using the tools of information technology to understand the molecular machinery ofthe cell offers both challenges and opportunities to computational scientists. Over the past decade,novel algorithms have been developed both for analyzing biological data and for synthetic biologyproblems such as protein engineering. This book explains the algorithmic foundations andcomputational approaches underlying areas of structural biology including NMR (nuclear magneticresonance); X-ray crystallography; and the design and analysis of proteins, peptides, and smallmolecules. Each chapter offers a concise overview of important concepts, focusing on a key topic inthe field. Four chapters offer a short course in algorithmic and computational issues related to NMRstructural biology, giving the reader a useful toolkit with which to approach the fascinating yetthorny computational problems in this area. A recurrent theme is understanding the interplay betweenbiophysical experiments and computational algorithms. The text emphasizes the mathematicalfoundations of structural biology while maintaining a balance between algorithms and a nuancedunderstanding of experimental data. Three emerging areas, particularly fertile ground for researchstudents, are highlighted: NMR methodology, design of proteins and other molecules, and the modelingof protein flexibility. The next generation of computational structural biologists will needtraining in geometric algorithms, provably good approximation algorithms, scientific computation,and an array of techniques for handling noise and uncertainty in combinatorial geometry andcomputational biophysics. This book is an essential guide for young scientists on their way toresearch success in this exciting field.
作者簡介
Bruce R. Donald is William and Sue Gross Professor of Computer Science at Duke University and Professor of Biochemistry in the Duke University Medical Center. His laboratory is associated with Duke's Program in Computational Biology and Institute for Genome Sciences and Policy.
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