Multiscale Approaches to Protein Modeling (Record no. 105652)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 04474nam a22004695i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 978-1-4419-6889-0 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | DE-He213 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20140220083721.0 |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
| fixed length control field | cr nn 008mamaa |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 101013s2011 xxu| s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781441968890 |
| -- | 978-1-4419-6889-0 |
| 024 7# - OTHER STANDARD IDENTIFIER | |
| Standard number or code | 10.1007/978-1-4419-6889-0 |
| Source of number or code | doi |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | QD431-431.7 |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | PSBC |
| Source | bicssc |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | SCI007000 |
| Source | bisacsh |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 572.6 |
| Edition number | 23 |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Kolinski, Andrzej. |
| Relator term | editor. |
| 245 10 - TITLE STATEMENT | |
| Title | Multiscale Approaches to Protein Modeling |
| Medium | [electronic resource] : |
| Remainder of title | Structure Prediction, Dynamics, Thermodynamics and Macromolecular Assemblies / |
| Statement of responsibility, etc | edited by Andrzej Kolinski. |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1st. |
| 264 #1 - | |
| -- | New York, NY : |
| -- | Springer New York : |
| -- | Imprint: Springer, |
| -- | 2011. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | XII, 355p. 80 illus., 16 illus. in color. |
| Other physical details | online resource. |
| 336 ## - | |
| -- | text |
| -- | txt |
| -- | rdacontent |
| 337 ## - | |
| -- | computer |
| -- | c |
| -- | rdamedia |
| 338 ## - | |
| -- | online resource |
| -- | cr |
| -- | rdacarrier |
| 347 ## - | |
| -- | text file |
| -- | |
| -- | rda |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Preface -- Lattice polymers and protein models -- Multiscale approach to protein and peptide docking -- Coarse-grained models of proteins: theory and applications -- Coarse-grained modeling of biomolecules with transferable force field -- Effective all-atom potentials for protein studies -- Statistical contact potentials in protein coarse-grained modeling: From pair to multi-body potentials -- Bridging the atomic and coarse-grained descriptions of collective motions in proteins -- Structure-based models of biomolecules: stretching of proteins, dynamics of knots, hydrodynamic effects, and indentation of virus capsids -- Sampling protein energy landscapes –the quest for efficient algorithms -- Protein structure prediction: from recognition of matches with known structures to recombination of fragments -- Genome-wide protein structure prediction using template fragment reassembly -- Multiscale approach to protein folding dynamics -- Error estimation of template-based protein structure models -- Evaluation of protein structure prediction methods: issues and strategies -- Index. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | Multiscale Approaches to Protein Modeling is a comprehensive review of the most advanced multiscale methods for protein structure prediction, computational studies of protein dynamics, folding mechanisms and macromolecular interactions. The approaches span a wide range of the levels of coarse-grained representations, various sampling techniques and variety of applications to biomedical and biophysical problems. Thanks to enormous progress in sequencing of genomic data, we presently know millions of protein sequences. At the same time, the number of experimentally solved protein structures is much smaller, ca. 60,000. This is because of the large cost of structure determination. Thus, theoretical, in silico, prediction of protein structures and dynamics is essential for understanding the molecular basis of drug action, metabolic and signaling pathways in living cells, designing new technologies in the life science and material sciences. Unfortunately, a “brute force” approach remains impractical. Folding of a typical protein (in vivo or in vitro) takes milliseconds to minutes, while state-of-the-art all-atom molecular mechanics simulations of protein systems can cover only a time period range of nanosecond to microseconds. This is the reason for the enormous progress in development of various mutiscale modeling techniques, applied to protein structure prediction, modeling of protein dynamics and folding pathways, in silico protein engineering, model-aided interpretation of experimental data, modeling of macromolecular assemblies and theoretical studies of protein thermodynamics. Coarse-graining of the proteins’ conformational space is a common feature of all these approaches, although the details and the underlying physical models span a very broad spectrum. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Life sciences. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Bioinformatics. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Biochemistry. |
| 650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Life Sciences. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Protein Science. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Protein Structure. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Bioinformatics. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Computational Biology/Bioinformatics. |
| 710 2# - ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | SpringerLink (Online service) |
| 773 0# - HOST ITEM ENTRY | |
| Title | Springer eBooks |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Display text | Printed edition: |
| International Standard Book Number | 9781441968883 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | http://dx.doi.org/10.1007/978-1-4419-6889-0 |
| 912 ## - | |
| -- | ZDB-2-SBL |
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