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Biomolecular modeling: Goals, problems, perspectives
Authors: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
Institution:Laboratory of Physical Chemistry, Swiss Federal Institute of Technology, ETH, 8093 Zurich, Switzerland. wfvgn@igc.phys.chem.ethz.ch
Abstract: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.
Keywords:computer simulation  force‐field techniques  GROMOS  molecular modeling  molecular dynamics
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