Molecular modeling at the atomic scale : methods and applications in quantitative biology
(eBook)
Contributors
Zhou, Ruhong, editor.
Published
Boca Raton : CRC Press, 2014.
Format
eBook
ISBN
9781466562967, 146656296X
Physical Desc
1 online resource
Status
Description
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Subjects
Bisac Subjects
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Language
English
Notes
Bibliography
Includes bibliographical references and index.
Description
Developments in molecular modeling from experimental and computational techniques have enabled a wide range of biological applications. This timely summary reflects the recent advances in bridging novel algorithms and high performance computing with characterization of important biological processes, such as folding dynamics of key proteins. It encompasses the perspectives of leading experts on this transformation in molecular biology, illustrating with state of the art examples how molecular modeling approaches are being applied to critical questions in modern quantitative biology.
Local note
O'Reilly,O'Reilly Online Learning: Academic/Public Library Edition
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Citations
APA Citation, 7th Edition (style guide)
Zhou, R. (2014). Molecular modeling at the atomic scale: methods and applications in quantitative biology . CRC Press.
Chicago / Turabian - Author Date Citation, 17th Edition (style guide)Zhou, Ruhong. 2014. Molecular Modeling At the Atomic Scale: Methods and Applications in Quantitative Biology. CRC Press.
Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)Zhou, Ruhong. Molecular Modeling At the Atomic Scale: Methods and Applications in Quantitative Biology CRC Press, 2014.
MLA Citation, 9th Edition (style guide)Zhou, Ruhong. Molecular Modeling At the Atomic Scale: Methods and Applications in Quantitative Biology CRC Press, 2014.
Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.
Staff View
Grouped Work ID
16d0d7d4-c187-a1bc-ac29-bfb6751682d2-eng
Grouping Information
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|---|---|
| Full title | molecular modeling at the atomic scale methods and applications in quantitative biology |
| Author | ruhong zhou |
| Grouping Category | book |
| Last Update | 2024-04-16 12:23:35PM |
| Last Indexed | 2024-04-17 02:15:16AM |
Book Cover Information
| Image Source | syndetics |
|---|---|
| First Loaded | Jul 29, 2022 |
| Last Used | Mar 25, 2024 |
Marc Record
| First Detected | Nov 09, 2022 03:45:13 PM |
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| Last File Modification Time | Apr 16, 2024 12:31:59 PM |
MARC Record
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| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Front Cover; Contents; Series Preface; Preface; Editor; Contributors; Chapter 1: Introduction to Molecular Dynamics and Enhanced Sampling Algorithms; Chapter 2: Toward Quantitative Analysis of Metalloenzyme Function Using MM and Hybrid QM/MM Methods : Challenges, Methods, and Recent Applications; Chapter 3: Development of AMOEBA Force Field with Advanced Electrostatics; Chapter 4: Molecular Simulations of Protein Folding Dynamics and Thermodynamics; Chapter 5: Minimal Models for the Structure and Dynamics of Nucleic Acids. | |
| 505 | 8 | |a Chapter 6: Amyloid Peptide Aggregation : Computational Techniques to Deal with Multiple Time and Length ScalesChapter 7: Lipid Bilayers : Structure, Dynamics, and Interactions with Antimicrobial Peptides; Chapter 8: Protein and Nucleic Acid Interactions with Molecular Dynamics Simulations; Chapter 9: Simulating Membranes and Membrane Proteins; Chapter 10: Protein and Nanoparticle Interactions : Perspectives of Nanomedicine and Nanotoxicity; Chapter 11: Modeling of DNA Sequencing with Solid-State Nanopores; Chapter 12: Biological Water under Confinement : Nanoscale Dewetting; Back Cover. | |
| 520 | |a Developments in molecular modeling from experimental and computational techniques have enabled a wide range of biological applications. This timely summary reflects the recent advances in bridging novel algorithms and high performance computing with characterization of important biological processes, such as folding dynamics of key proteins. It encompasses the perspectives of leading experts on this transformation in molecular biology, illustrating with state of the art examples how molecular modeling approaches are being applied to critical questions in modern quantitative biology. | ||
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