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Bestseller
BestsellerE-book
Author Wu, Zhijun, 1956-

Title Lecture notes on computational structural biology / Zhijun Wu.

Publication Info. Singapore, SG : World Scientific, [2008]
©2008

Item Status

Description 1 online resource (xii, 230 pages) : illustrations (some color)
text file
Bibliography Includes bibliographical references and index.
Summary While the field of computational structural biology or structural bioinformatics is rapidly developing, there are few books with a relatively complete coverage of such diverse research subjects studied in the field as X-ray crystallography computing, NMR structure determination, potential energy minimization, dynamics simulation, and knowledge-based modeling. This book helps fill the gap by providing such a survey on all the related subjects. Comprising a collection of lecture notes for a computational structural biology course for the Program on Bioinformatics and Computational Biology at Iowa State University, the book is in essence a comprehensive summary of computational structural biology based on the author's own extensive research experience, and a review of the subject from the perspective of a computer scientist or applied mathematician. Readers will gain a deeper appreciation of the biological importance and mathematical novelty of the research in the field.
Contents 1. Introduction. 1.1. Protein structure. 1.2. Structure determination. 1.3. Dynamics simulation. 1.4. The myth of protein folding -- 2. X-ray crystallography computing. 2.1. The phase problem. 2.2. Least squares solutions. 2.3. Entropy maximization. 2.4. Indirect methods -- 3. NMR structure determination. 3.1. Nuclear magnetic resonance. 3.2. Distance geometry. 3.3. Distance-based modeling. 3.4. Structural analysis -- 4. Potential energy minimization. 4.1. Potential energy function. 4.2. Local optimization. 4.3. Global optimization. 4.4. Energy transformation -- 5. Molecular dynamics simulation. 5.1. Equations of motion. 5.2. Initial-value problem. 5.3. Boundary-value problem. 5.4. Normal mode analysis -- 6. Knowledge-based protein modeling. 6.1. Sequence/structural alignment. 6.2. Fold recognition/inverse folding. 6.3. Knowledge-based structural refinement. 6.4. Structural computing and beyond.
Local Note eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America
Subject Proteins -- Structure -- Computer simulation.
Proteins -- Structure -- Computer simulation.
Proteins -- Structure.
Protein folding -- Computer simulation.
Protein folding -- Computer simulation.
Proteins -- Structure -- Mathematical models.
Proteins -- Structure -- Mathematical models.
Protein folding -- Mathematical models.
Protein folding -- Mathematical models.
Protein folding.
Computational biology.
Computational biology.
Genre/Form Electronic books.
ISBN 9812814787 (electronic book)
9789812814784 (electronic book)
128196817X
9781281968173
9812705899 (Cloth)