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Lecture notes on computational structural biology /
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 min...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Singapore, SG :
World Scientific,
©2008.
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| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 100 | 1 | |a Wu, Zhijun. | |
| 245 | 1 | 0 | |a Lecture notes on computational structural biology / |c Zhijun Wu. |
| 260 | |a Singapore, SG : |b World Scientific, |c ©2008. | ||
| 300 | |a 1 online resource (xii, 230 pages) : |b illustrations (some color) | ||
| 336 | |a text |b txt |2 rdacontent | ||
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| 380 | |a Bibliography | ||
| 504 | |a Includes bibliographical references and index. | ||
| 588 | 0 | |a Print version record. | |
| 520 | |a 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. | ||
| 505 | 0 | |a 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. | |
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| 650 | 0 | |a Proteins |x Structure |x Computer simulation. | |
| 650 | 0 | |a Protein folding |x Computer simulation. | |
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| 650 | 0 | |a Protein folding |x Mathematical models. | |
| 650 | 0 | |a Computational biology. | |
| 650 | 0 | |a Bioinformatics. | |
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| 650 | 6 | |a Protéines |x Structure |x Modèles mathématiques. | |
| 650 | 6 | |a Protéines |x Repliement |x Modèles mathématiques. | |
| 650 | 6 | |a Bio-informatique. | |
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| 776 | 0 | 8 | |i Print version: |a Wu, Zhijun. |t Lecture notes on computational structural biology. |d Singapore, SG : World Scientific, ©2008 |w (DLC) 2009275856 |
| 856 | 4 | 0 | |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=1193653 |z Texto completo |
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