Protein Structure Prediction with Evolutionary Algorithms
Conference
·
OSTI ID:3477
Evolutionary algorithms have been successfully applied to a variety of molecular structure prediction problems. In this paper we reconsider the design of genetic algorithms that have been applied to a simple protein structure prediction problem. Our analysis considers the impact of several algorithmic factors for this problem: the confirmational representation, the energy formulation and the way in which infeasible conformations are penalized, Further we empirically evaluated the impact of these factors on a small set of polymer sequences. Our analysis leads to specific recommendations for both GAs as well as other heuristic methods for solving PSP on the HP model.
- Research Organization:
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Sandia National Lab. (SNL-CA), Livermore, CA (United States)
- Sponsoring Organization:
- US Department of Energy (US)
- DOE Contract Number:
- AC04-94AL85000
- OSTI ID:
- 3477
- Report Number(s):
- SAND99-0329C; TRN: AH200112%%475
- Resource Relation:
- Conference: Genetic and Evolutionary Computation Conference, Orlando, FL (US), 07/13/1999--07/17/1999; Other Information: PBD: 8 Feb 1999
- Country of Publication:
- United States
- Language:
- English
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