Molecular Modeling at the Atomic Scale: Methods and Applications in Quantitative Biology
Ruhong Zhou
''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''--Provided by publisher.
Abstract: ''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''--Provided by publisher
Abstract: ''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''--Provided by publisher
კატეგორია:
წელი:
2014
გამომცემლობა:
Taylor & Francis, CRC Press
ენა:
english
გვერდები:
392
ISBN 10:
146656296X
ISBN 13:
9781466562967
სერია:
Series in Computational Biophysics
ფაილი:
PDF, 49.34 MB
IPFS:
,
english, 2014