van Gunsteren Wilfred F, Bakowies Dirk, Baron Riccardo, Chandrasekhar Indira, Christen Markus, Daura Xavier, Gee Peter, Geerke Daan P, Glättli Alice, Hünenberger Philippe H, Kastenholz Mika A, Oostenbrink Chris, Schenk Merijn, Trzesniak Daniel, van der Vegt Nico F A, Yu Haibo B
Laboratory of Physical Chemistry, Swiss Federal Institute of Technology, ETH, 8093 Zurich, Switzerland.
Angew Chem Int Ed Engl. 2006 Jun 19;45(25):4064-92. doi: 10.1002/anie.200502655.
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.
基于分子模型的计算在生物学、生物化学和生物物理学中发挥着越来越重要的作用。由于通过实验手段实际能够测量的生物分子系统的性质数量非常有限,计算机模拟不仅可以提供平均值,还能提供任何可定义量的分布和时间序列,例如构象分布或系统各部分之间的相互作用,从而补充实验。当今生物分子建模在应用中受到四个主要问题的限制:1)力场问题,2)搜索(采样)问题,3)系综(采样)问题,以及4)实验问题。本文将通过实际例子对这四个问题进行讨论和说明。同时也概述了突破生物分子建模局限性的前景。