Screen LibraryProtein conformational dynamics /
"This book discusses how biological molecules exert their function and regulate biological processes, with a clear focus on how conformational dynamics of proteins are critical in this respect. In the last decade, the advancements in computational biology, nuclear magnetic resonance including p...
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| Group Author: | ; ; |
|---|---|
| Published: |
Springer,
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| Publisher Address: | Cham : |
| Publication Dates: | [2014] |
| Literature type: | Book |
| Language: | English |
| Series: |
Advances in experimental medicine & biology,
volume 805 |
| Subjects: | |
| Summary: |
"This book discusses how biological molecules exert their function and regulate biological processes, with a clear focus on how conformational dynamics of proteins are critical in this respect. In the last decade, the advancements in computational biology, nuclear magnetic resonance including paramagnetic relaxation enhancement, and fluorescence-based ensemble/single-molecule techniques have shown that biological molecules (proteins, DNAs and RNAs) fluctuate under equilibrium conditions. The conformational and energetic spaces that these fluctuations explore likely contain active conformatio |
| Carrier Form: | xii, 488 pages : illustrations (some color) ; 25 cm. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: |
9783319029696 : 331902969X |
| Index Number: | QP551 |
| CLC: | Q510.1 |
| Call Number: | Q510.1/P967-9 |
| Contents: | Protein folding simulations by generalized-ensemble algorithms -- Application of Markov state models to simulate long timescale dynamics of biological macromolecules -- Understanding protein dynamics using conformational ensembles -- Generative models of conformational dynamics -- Generalized spring tensor models for protein fluctuation dynamics and conformational changes -- The joys and perils of flexible fitting -- Coarse-grained models of the proteins backbone conformational dynamics -- Simulating protein folding in different environmental conditions -- Simulating the peptide folding kine |