Effective search of the energy landscape for protein folding

Authors:
Eugene Santos;Keum Joo Kim;Eunice E. Santos
Affiliations:
University of Connecticut, Storrs, CT;University of Connecticut, Storrs, CT;Virginia Polytechnic Institute and State University, Blacksburg, VA
Venue:
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartI
Year:
2003

Citing 1
Cited 1

Algorithm 611: Subroutines for Unconstrained Minimization Using a Model/Trust-Region Approach

ACM Transactions on Mathematical Software (TOMS)

Local Minima-Based Exploration for Off-Lattice Protein Folding

CSB '03 Proceedings of the IEEE Computer Society Conference on Bioinformatics

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Abstract

We propose a new algorithmic approach for global optimization in protein folding. We use the information found in various local minima to direct the search for the global minimum. In this way, we explore the energy landscape efficiently by considering only the space of local minima instead of the whole feasible space of conformations.