dc.creatorAndreani, R
dc.creatorMartinez, JM
dc.creatorMartinez, L
dc.date2008
dc.dateOCT
dc.date2014-11-14T07:07:17Z
dc.date2015-11-26T17:13:46Z
dc.date2014-11-14T07:07:17Z
dc.date2015-11-26T17:13:46Z
dc.date.accessioned2018-03-29T00:02:06Z
dc.date.available2018-03-29T00:02:06Z
dc.identifierIma Journal Of Numerical Analysis. Oxford Univ Press, v. 28, n. 4, n. 690, n. 710, 2008.
dc.identifier0272-4979
dc.identifierWOS:000260981400004
dc.identifier10.1093/imanum/drn012
dc.identifierhttp://www.repositorio.unicamp.br/jspui/handle/REPOSIP/77031
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/77031
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/77031
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1281649
dc.descriptionProtein 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.
dc.description28
dc.description4
dc.description690
dc.description710
dc.languageen
dc.publisherOxford Univ Press
dc.publisherOxford
dc.publisherInglaterra
dc.relationIma Journal Of Numerical Analysis
dc.relationIMA J. Numer. Anal.
dc.rightsfechado
dc.rightshttp://www.oxfordjournals.org/access_purchase/self-archiving_policyb.html
dc.sourceWeb of Science
dc.subjectBound-constrained Minimization
dc.subjectStructural Alignment
dc.subjectResidue Conservation
dc.subjectUniverse
dc.subjectSpace
dc.titleTrust-region superposition methods for protein alignment
dc.typeArtículos de revistas


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