Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/77031
Type: Artigo de periódico
Title: Trust-region superposition methods for protein alignment
Author: Andreani, R
Martinez, JM
Martinez, L
Abstract: Protein alignment is a challenging applied optimization problem. Superposition methods are based on the maximization of a score function with respect to rigid-body modifications of relative positions. The problem of score maximization can be modelled as a continuous nonsmooth optimization problem (low order-value optimization (LOVO)). This allows one to define practical and convergent methods that produce monotone increases of the score. In this paper, trust-region methods are introduced for solving the problem. Numerical results are presented. Computer software related to the LOVO approach for protein alignment is available at www.ime.unicamp.br/ similar to martinez/lovoalign.
Country: Inglaterra
Editor: Oxford Univ Press
Rights: fechado
Identifier DOI: 10.1093/imanum/drn012
Date Issue: 2008
Appears in Collections:Artigos e Materiais de Revistas Científicas - Unicamp

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