Generalized pattern search and mesh adaptive direct search algorithms for protein structure prediction

Authors:
Giuseppe Nicosia;Giovanni Stracquadanio
Affiliations:
Department of Mathematics and Computer Science, University of Catania, Catania, Italy;Department of Mathematics and Computer Science, University of Catania, Catania, Italy
Venue:
WABI'07 Proceedings of the 7th international conference on Algorithms in Bioinformatics
Year:
2007

Citing 6
Cited 1

Polypeptide structure prediction: real-value versus binary hybrid genetic algorithms

SAC '97 Proceedings of the 1997 ACM symposium on Applied computing
Frame based methods for unconstrained optimization

Journal of Optimization Theory and Applications
On the Convergence of Grid-Based Methods for Unconstrained Optimization

SIAM Journal on Optimization
Pattern Search Methods for Linearly Constrained Minimization

SIAM Journal on Optimization
Mesh Adaptive Direct Search Algorithms for Constrained Optimization

SIAM Journal on Optimization
Determination of protein structure and dynamics combining immune algorithms and pattern search methods

Natural Computing: an international journal

Combined heat and power economic dispatch by mesh adaptive direct search algorithm

Expert Systems with Applications: An International Journal

Quantified Score

Hi-index	0.00

Visualization

Abstract

Proteins are the most important molecular entities of a living organism and understanding their functions is an important task to treat diseases and synthesize new drugs. It is largely known that the function of a protein is strictly related to its spatial conformation: to tackle this problem, we have proposed a new approach based on a class of pattern search algorithms that is largely used in optimization of real world applications. The obtained results are interesting in terms of the quality of the structures (RMSD-Cα) and energy values found.