We report the application of a new conformation searching algorithm called simulated annealing to the location of the global minimum energy conformation of peptides. Simulated annealing is a Metropolis Monte Car10 approach to conformation generation in which both the energy and temperature dependenc
Applications of simulated annealing to the conformational analysis of flexible molecules
โ Scribed by Stephen R. Wilson; Weili Cui; Jules W. Moskowitz; Kevin E. Schmidt
- Publisher
- John Wiley and Sons
- Year
- 1991
- Tongue
- English
- Weight
- 716 KB
- Volume
- 12
- Category
- Article
- ISSN
- 0192-8651
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โฆ Synopsis
We describe in this article our solution to the global minimum problem which uses the simulated annealing algorithm of Kirkpatrick. This method is a Metropolis (e-AElkT) Monte Carlo sampling of conformation space with simultaneous constraint of the search by lowering the temperature T so that the search converges on the global minimum. The Anneal-Conformer program has been extensively tested with peptides and organic molecules using either the Amber or MM2 force fields. A history file of the simulated annealing process allows reconstruction of the random walk in conformation space for subsequent examination. Thus plots of distance and dihedral angle changes during the search for the global minimum can be examined to deduce molecular shape and flexibility. A separate program Conf-Gen reads the history file and extracts all low energy conformations visited during the run.
๐ SIMILAR VOLUMES
The Simulated Annealing method using a quantum mechanical potential enera surface is used to study the interactions of molecules and the formation of clusters. The results obtained for a range of systems are in good agreement with other theoretical calculations and experimental data where available.
## Abstract Originally, the ant system was developed for optimization in discrete search spaces such as the traveling salesman problem. We detail our adaptation of the algorithm to optimization in the continuous search space of conformational analysis. The parameters of the algorithm were tuned usi
## Abstract The present study describes an extensive conformational search of substance P using two different computational methods. On the one hand, the peptide was studied using the iterative simulated annealing, and on the other, molecular dynamics simulations at 300 and 400 K. With the former m
## ลฝ . We report the application of the adaptive simulated annealing ASA method as a global optimization approach to biomolecular structure determination, using ลฝ . the ECEPPr2 empirical conformation energy program for peptides potential energy form. As applied to Met-enkephalin, our optimization