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...
Gespeichert in:
| 1. Verfasser: | |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Singapore, SG :
World Scientific,
©2008.
|
| Schlagworte: | |
| Online-Zugang: | DE-862 DE-863 |
| Zusammenfassung: | 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. |
| Beschreibung: | 1 online resource (xii, 230 pages) : illustrations (some color) |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9812814787 9789812814784 128196817X 9781281968173 |
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| 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. | |
| 650 | 0 | |a Proteins |x Structure |x Computer simulation. | |
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| 650 | 0 | |a Protein folding |x Mathematical models. | |
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| 650 | 0 | |a Bioinformatics. |0 http://id.loc.gov/authorities/subjects/sh00003585 | |
| 650 | 6 | |a Protéines |x Structure |x Simulation par ordinateur. | |
| 650 | 6 | |a Protéines |x Structure |x Modèles mathématiques. | |
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Datensatz im Suchindex
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| 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. |
| ctrlnum | (OCoLC)318879610 |
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| genre | Electronic books. |
| genre_facet | Electronic books. |
| id | ZDB-4-EBA-ocn318879610 |
| illustrated | Illustrated |
| indexdate | 2025-04-11T08:36:21Z |
| institution | BVB |
| isbn | 9812814787 9789812814784 128196817X 9781281968173 |
| language | English |
| oclc_num | 318879610 |
| open_access_boolean | |
| owner | MAIN DE-862 DE-BY-FWS DE-863 DE-BY-FWS |
| owner_facet | MAIN DE-862 DE-BY-FWS DE-863 DE-BY-FWS |
| physical | 1 online resource (xii, 230 pages) : illustrations (some color) |
| psigel | ZDB-4-EBA FWS_PDA_EBA ZDB-4-EBA |
| publishDate | 2008 |
| publishDateSearch | 2008 |
| publishDateSort | 2008 |
| publisher | World Scientific, |
| record_format | marc |
| spelling | Wu, Zhijun. Lecture notes on computational structural biology / Zhijun Wu. Singapore, SG : World Scientific, ©2008. 1 online resource (xii, 230 pages) : illustrations (some color) text txt rdacontent computer c rdamedia online resource cr rdacarrier data file rda Bibliography Includes bibliographical references and index. Print version record. 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. 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. Proteins Structure Computer simulation. Protein folding Computer simulation. http://id.loc.gov/authorities/subjects/sh2012002884 Proteins Structure Mathematical models. Protein folding Mathematical models. Computational biology. http://id.loc.gov/authorities/subjects/sh2003008355 Bioinformatics. http://id.loc.gov/authorities/subjects/sh00003585 Protéines Structure Simulation par ordinateur. Protéines Structure Modèles mathématiques. Protéines Repliement Modèles mathématiques. Bio-informatique. SCIENCE Life Sciences Biochemistry. bisacsh Bioinformatics fast Computational biology fast Protein folding Computer simulation fast Protein folding Mathematical models fast Proteins Structure Computer simulation fast Proteins Structure Mathematical models fast Electronic books. has work: Lecture notes on computational structural biology (Text) https://id.oclc.org/worldcat/entity/E39PCGmVtyCfcFQvrwkPcKrwYd https://id.oclc.org/worldcat/ontology/hasWork Print version: Wu, Zhijun. Lecture notes on computational structural biology. Singapore, SG : World Scientific, ©2008 (DLC) 2009275856 |
| spellingShingle | Wu, Zhijun Lecture notes on computational structural biology / 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. Proteins Structure Computer simulation. Protein folding Computer simulation. http://id.loc.gov/authorities/subjects/sh2012002884 Proteins Structure Mathematical models. Protein folding Mathematical models. Computational biology. http://id.loc.gov/authorities/subjects/sh2003008355 Bioinformatics. http://id.loc.gov/authorities/subjects/sh00003585 Protéines Structure Simulation par ordinateur. Protéines Structure Modèles mathématiques. Protéines Repliement Modèles mathématiques. Bio-informatique. SCIENCE Life Sciences Biochemistry. bisacsh Bioinformatics fast Computational biology fast Protein folding Computer simulation fast Protein folding Mathematical models fast Proteins Structure Computer simulation fast Proteins Structure Mathematical models fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh2012002884 http://id.loc.gov/authorities/subjects/sh2003008355 http://id.loc.gov/authorities/subjects/sh00003585 |
| title | Lecture notes on computational structural biology / |
| title_auth | Lecture notes on computational structural biology / |
| title_exact_search | Lecture notes on computational structural biology / |
| title_full | Lecture notes on computational structural biology / Zhijun Wu. |
| title_fullStr | Lecture notes on computational structural biology / Zhijun Wu. |
| title_full_unstemmed | Lecture notes on computational structural biology / Zhijun Wu. |
| title_short | Lecture notes on computational structural biology / |
| title_sort | lecture notes on computational structural biology |
| topic | Proteins Structure Computer simulation. Protein folding Computer simulation. http://id.loc.gov/authorities/subjects/sh2012002884 Proteins Structure Mathematical models. Protein folding Mathematical models. Computational biology. http://id.loc.gov/authorities/subjects/sh2003008355 Bioinformatics. http://id.loc.gov/authorities/subjects/sh00003585 Protéines Structure Simulation par ordinateur. Protéines Structure Modèles mathématiques. Protéines Repliement Modèles mathématiques. Bio-informatique. SCIENCE Life Sciences Biochemistry. bisacsh Bioinformatics fast Computational biology fast Protein folding Computer simulation fast Protein folding Mathematical models fast Proteins Structure Computer simulation fast Proteins Structure Mathematical models fast |
| topic_facet | Proteins Structure Computer simulation. Protein folding Computer simulation. Proteins Structure Mathematical models. Protein folding Mathematical models. Computational biology. Bioinformatics. Protéines Structure Simulation par ordinateur. Protéines Structure Modèles mathématiques. Protéines Repliement Modèles mathématiques. Bio-informatique. SCIENCE Life Sciences Biochemistry. Bioinformatics Computational biology Protein folding Computer simulation Protein folding Mathematical models Proteins Structure Computer simulation Proteins Structure Mathematical models Electronic books. |
| work_keys_str_mv | AT wuzhijun lecturenotesoncomputationalstructuralbiology |