Biomolecular modeling:: Goals, problems, perspectives

被引:440
作者
van Gunsteren, Wilfred F. [1 ]
Bakowies, Dirk
Baron, Riccardo
Chandrasekhar, Indira
Christen, Markus
Daura, Xavier
Gee, Peter
Geerke, Daan P.
Glaettli, Alice
Huenenberger, Philippe H.
Kastenholz, Mika A.
Ostenbrink, Chris
Schenk, Merijn
Trzesniak, Daniel
van der Vegt, Nico F. A.
Yu, Haibo B.
机构
[1] ETH, Swiss Fed Inst Technol, Chem Phys Lab, CH-8093 Zurich, Switzerland
[2] Univ Autonoma Barcelona, Inst Biotechnol & Biomed, ICREA, E-08193 Bellaterra, Barcelona, Spain
[3] Free Univ Amsterdam, NL-1081 HV Amsterdam, Netherlands
[4] Max Planck Inst Polymer Res, D-55128 Mainz, Germany
[5] Univ Wisconsin, Dept Chem, Madison, WI 53706 USA
关键词
computer simulation; force-field techniques; GROMOS; molecular modeling; molecular dynamics;
D O I
10.1002/anie.200502655
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Computation based on molecular models is playing an increasingly important role in biology, biological chemistry, and biophysics. Since only a very limited number of properties of biomolecular systems is actually accessible to measurement by experimental means, computer simulation can complement experiment by providing not only averages, but also distributions and time series of any definable quantity, for example, conformational distributions or interactions between parts of systems. Present day biomolecular modeling is limited in its application by four main problems: 1) the force-field problem, 2) the search (sampling) problem, 3) the ensemble (sampling) problem, and 4) the experimental problem. These four problems are discussed and illustrated by practical examples. Perspectives are also outlined for pushing forward the limitations of biomolecular modeling. © 2006 Wiley-VCH Verlag GmbH & Co. KGaA.
引用
收藏
页码:4064 / 4092
页数:29
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