The role of a priori information in the minimization of contact potentials by means of estimation of distribution algorithms

The role of a priori information in the minimization of contact potentials by means of estimation of distribution algorithms” by Roberto Santana, Pedro Larrañaga, and J. A. Lozano. In Proceedings of the Fifth European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, (E. Marchiori, J. H. Moore, and J. C. Rajapakse, eds.), (Valencia, Spain), 2007, pp. 247-257.

Abstract

Directed search methods and probabilistic approaches have been used as two alternative ways for computational protein design. This paper presents a hybrid methodology that combines features from both approaches. Three estimation of distribution algorithms are applied to the solution of a protein design problem by minimization of contact potentials. The combination of probabilistic models able to represent probabilistic dependencies with the use of information about residues interactions in the protein contact graph is shown to improve the efficiency of search for the problems evaluated.

BibTeX entry:

@inproceedings{Santana_et_al:2007b,
   author = {Roberto Santana and Pedro Larra{\~n}aga and J. A. Lozano},
   editor = {E. Marchiori and J. H. Moore and J. C. Rajapakse},
   title = {The role of a priori information in the minimization of
	contact potentials by means of estimation of distribution
	algorithms},
   booktitle = {Proceedings of the Fifth European Conference on
	Evolutionary Computation, Machine Learning and Data Mining in
	Bioinformatics},
   series = {Lecture Notes in Computer Science},
   volume = {4447},
   pages = {247-257},
   publisher = {Springer},
   address = {Valencia, Spain},
   year = {2007},
   url = {http://dx.doi.org/10.1007/978-3-540-71783-6_24}
}

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