Abstract

While the study of biomolecular systems by computer simulation has been contributing to our understanding of the mechanics and energetics of these systems for fifteen years, we are now at the threshold of a new era in this exciting field. It has come about by the convergence of two important developments. The first is the advent of powerful current generation computers. The second is the evolution of and improvements in simulation techniques. The latter include adaptation of Monte Carlo and molecular dynamics techniques, long used in statistical physics and applied mathematics, to biomolecular systems. These techniques become viable options only with the high speed of modern computers, as they require immense amounts of computation. Biological systems are characterized by extreme complexity, both structurally and dynamically. An example of the type of system we would like to understand is given in Figure 1. This is an α-carbon plot of the protein

Keywords

Computer scienceConvergence (economics)Monte Carlo methodStatistical mechanicsComputationAdaptation (eye)Field (mathematics)Computational scienceStatistical physicsTheoretical computer scienceAlgorithmMathematicsPhysics

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Year
1981
Type
book-chapter
Pages
161-191
Citations
202
Access
Closed

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P. DAUBER, Murray Goodman, A. T. Hagler et al. (1981). Computer Simulation of Biomolecular Systems. ACS symposium series , 161-191. https://doi.org/10.1021/bk-1981-0173.ch012

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DOI
10.1021/bk-1981-0173.ch012