Models and Algorithms for Biomolecules and Molecular Networks. (Record no. 18762)
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| control field | ocn934770313 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OCoLC |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20230823095525.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS--GENERAL INFORMATION | |
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| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
| fixed length control field | cr |n||||||||| |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 160115s2016 xx a ob 000 0 eng d |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | IDEBK |
| Language of cataloging | eng |
| Description conventions | pn |
| Transcribing agency | IDEBK |
| Modifying agency | EBLCP |
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| -- | DG1 |
| -- | OCLCF |
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| -- | OHI |
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| -- | OCLCQ |
| -- | DEBSZ |
| -- | RECBK |
| 019 ## - | |
| -- | 934678502 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 1119162262 |
| Qualifying information | (electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9781119162261 |
| Qualifying information | (electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9781119162254 |
| Qualifying information | (electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 1119162254 |
| Qualifying information | (electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| Cancelled/invalid ISBN | 0470601930 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| Cancelled/invalid ISBN | 1119162270 |
| 029 1# - (OCLC) | |
| OCLC library identifier | AU@ |
| System control number | 000058381123 |
| 029 1# - (OCLC) | |
| OCLC library identifier | GBVCP |
| System control number | 866469192 |
| 029 1# - (OCLC) | |
| OCLC library identifier | DEBSZ |
| System control number | 480346364 |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (OCoLC)934770313 |
| Canceled/invalid control number | (OCoLC)934678502 |
| 037 ## - SOURCE OF ACQUISITION | |
| Stock number | 887435 |
| Source of stock number/acquisition | MIL |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | QP801.B69 |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 572 |
| Edition number | 23 |
| 049 ## - LOCAL HOLDINGS (OCLC) | |
| Holding library | MAIN |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | DasGupta, Bhaskar. |
| 245 10 - TITLE STATEMENT | |
| Title | Models and Algorithms for Biomolecules and Molecular Networks. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication, distribution, etc | UNITED STATES : |
| Name of publisher, distributor, etc | Wiley-IEEE Press, |
| Date of publication, distribution, etc | 2016. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 1 online resource (263 pages) : |
| Other physical details | illustrations. |
| 336 ## - | |
| -- | text |
| -- | txt |
| -- | rdacontent |
| 337 ## - | |
| -- | computer |
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| -- | rdamedia |
| 338 ## - | |
| -- | online resource |
| -- | cr |
| -- | rdacarrier |
| 490 0# - SERIES STATEMENT | |
| Series statement | IEEE Press Series on Biomedical Engineering ; |
| Volume number/sequential designation | 30 |
| 588 0# - | |
| -- | Print version record. |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | List of Figures xiii -- List of Tables xix -- Foreword xxi -- Acknowledgments xxiii -- 1 Geometric Models of Protein Structure and Function Prediction 1 -- 1.1 Introduction, 1 -- 1.2 Theory and Model, 2 -- 1.2.1 Idealized Ball Model, 2 -- 1.2.2 Surface Models of Proteins, 3 -- 1.2.3 Geometric Constructs, 4 -- 1.2.4 Topological Structures, 6 -- 1.2.5 Metric Measurements, 9 -- 1.3 Algorithm and Computation, 13 -- 1.4 Applications, 15 -- 1.4.1 Protein Packing, 15 -- 1.4.2 Predicting Protein Functions from Structures, 17 -- 1.5 Discussion and Summary, 20 -- References, 22 -- Exercises, 25 -- 2 Scoring Functions for Predicting Structure and Binding of Proteins 29 -- 2.1 Introduction, 29 -- 2.2 General Framework of Scoring Function and Potential Function, 31 -- 2.2.1 Protein Representation and Descriptors, 31 -- 2.2.2 Functional Form, 32 -- 2.2.3 Deriving Parameters of Potential Functions, 32 -- 2.3 Statistical Method, 32 -- 2.3.1 Background, 32 -- 2.3.2 Theoretical Model, 33 -- 2.3.3 Miyazawa -- Jernigan Contact Potential, 34 -- 2.3.4 Distance-Dependent Potential Function, 41 -- 2.3.5 Geometric Potential Functions, 45 -- 2.4 Optimization Method, 49 -- 2.4.1 Geometric Nature of Discrimination, 50 -- 2.4.2 Optimal Linear Potential Function, 52 -- 2.4.3 Optimal Nonlinear Potential Function, 53 -- 2.4.4 Deriving Optimal Nonlinear Scoring Function, 55 -- 2.4.5 Optimization Techniques, 55 -- 2.5 Applications, 55 -- 2.5.1 Protein Structure Prediction, 56 -- 2.5.2 Protein -- Protein Docking Prediction, 56 -- 2.5.3 Protein Design, 58 -- 2.5.4 Protein Stability and Binding Affinity, 59 -- 2.6 Discussion and Summary, 60 -- 2.6.1 Knowledge-Based Statistical Potential Functions, 60 -- 2.6.2 Relationship of Knowledge-Based Energy Functions and Further Development, 64 -- 2.6.3 Optimized Potential Function, 65 -- 2.6.4 Data Dependency of Knowledge-Based Potentials, 66 -- References, 67 -- Exercises, 75 -- 3 Sampling Techniques: Estimating Evolutionary Rates and Generating Molecular Structures 79. |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 3.1 Introduction, 79 -- 3.2 Principles of Monte Carlo Sampling, 81 -- 3.2.1 Estimation Through Sampling from Target Distribution, 81 -- 3.2.2 Rejection Sampling, 82 -- 3.3 Markov Chains and Metropolis Monte Carlo Sampling, 83 -- 3.3.1 Properties of Markov Chains, 83 -- 3.3.2 Markov Chain Monte Carlo Sampling, 85 -- 3.4 Sequential Monte Carlo Sampling, 87 -- 3.4.1 Importance Sampling, 87 -- 3.4.2 Sequential Importance Sampling, 87 -- 3.4.3 Resampling, 91 -- 3.5 Applications, 92 -- 3.5.1 Markov Chain Monte Carlo for Evolutionary Rate Estimation, 92 -- 3.5.2 Sequentail Chain Growth Monte Carlo for Estimating Conformational Entropy of RNA Loops, 95 -- 3.6 Discussion and Summary, 96 -- References, 97 -- Exercises, 99 -- 4 Stochastic Molecular Networks 103 -- 4.1 Introduction, 103 -- 4.2 Reaction System and Discrete Chemical Master Equation, 104 -- 4.3 Direct Solution of Chemical Master Equation, 106 -- 4.3.1 State Enumeration with Finite Buffer, 106 -- 4.3.2 Generalization and Multi-Buffer dCME Method, 108 -- 4.3.3 Calculation of Steady-State Probability Landscape, 108 -- 4.3.4 Calculation of Dynamically Evolving Probability Landscape, 108 -- 4.3.5 Methods for State Space Truncation for Simplification, 109 -- 4.4 Quantifying and Controlling Errors from State Space Truncation, 111 -- 4.5 Approximating Discrete Chemical Master Equation, 114 -- 4.5.1 Continuous Chemical Master Equation, 114 -- 4.5.2 Stochastic Differential Equation: Fokker -- Planck Approach, 114 -- 4.5.3 Stochastic Differential Equation: Langevin Approach, 116 -- 4.5.4 Other Approximations, 117 -- 4.6 Stochastic Simulation, 118 -- 4.6.1 Reaction Probability, 118 -- 4.6.2 Reaction Trajectory, 118 -- 4.6.3 Probability of Reaction Trajectory, 119 -- 4.6.4 Stochastic Simulation Algorithm, 119 -- 4.7 Applications, 121 -- 4.7.1 Probability Landscape of a Stochastic Toggle Switch, 121 -- 4.7.2 Epigenetic Decision Network of Cellular Fate in Phage Lambda, 123 -- 4.8 Discussions and Summary, 127 -- References, 128. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | By providing expositions to modeling principles, theories, computational solutions, and open problems, this reference presents a full scope on relevant biological phenomena, modeling frameworks, technical challenges, and algorithms. -Up-to-date developments of structures of biomolecules, systems biology, advanced models, and algorithms -Sampling techniques for estimating evolutionary rates and generating molecular structures -Accurate computation of probability landscape of stochastic networks, solving discrete chemical master equations -End-of-chapter exercises. |
| 526 ## - STUDY PROGRAM INFORMATION NOTE | |
| Department | Life Sciences |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Biomolecules. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Structure-activity relationships (Biochemistry) |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Biomolecules. |
| Source of heading or term | fast |
| -- | (OCoLC)fst00832624 |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Structure-activity relationships (Biochemistry) |
| Source of heading or term | fast |
| -- | (OCoLC)fst01135737 |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | SCIENCE / Life Sciences / Biophysics. |
| Source of heading or term | bisacsh |
| 655 #4 - INDEX TERM--GENRE/FORM | |
| Genre/form data or focus term | Electronic books. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="http://dx.doi.org/10.1002/9781119162254">http://dx.doi.org/10.1002/9781119162254</a> |
| Public note | Wiley Online Library |
| 994 ## - | |
| -- | 92 |
| -- | DG1 |
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