A mono-objective evolutionary algorithm for Protein Structure Prediction in structural and energetic contexts

A mono-objective evolutionary algorithm for Protein Structure Prediction in structural and energetic contexts

The Protein Structure Prediction (PSP) problem is concerned about the prediction of the native structure of a protein from its amino acid sequence. PSP is a challenging and computationally open problem. Therefore, several researches and methodologies have been developed for it. This paper presents t...

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Bibliographic Details
Published in:2012 IEEE Congress on Evolutionary Computation pp. 1 - 7
Main Authors: Faccioli, R., da Silva, I. N., Bortot, L. O., Delbem, A. C. B.
Format: Conference Proceeding
Language:English
Published: IEEE 01-06-2012
Subjects:
Amino acids
Computational modeling
Evolutionary computation
Heuristic algorithms
Potential energy
Proteins
Solvents
Online Access:Get full text
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Summary:The Protein Structure Prediction (PSP) problem is concerned about the prediction of the native structure of a protein from its amino acid sequence. PSP is a challenging and computationally open problem. Therefore, several researches and methodologies have been developed for it. This paper presents the application of protpred-GROMACS, an evolutionary framework for PSP, in structural and energetic contexts. The performance of mono-objective algorithm was compared with other methodologies, such as multi-objective evolutionary algorithm, coarse grained monte carlo and replica exchange molecular dynamics.
ISBN:1467315109
9781467315104
ISSN:1089-778X
1941-0026
DOI:10.1109/CEC.2012.6256625