dc.creatorLavor, C
dc.date2007
dc.date42064
dc.date2014-11-15T21:08:09Z
dc.date2015-11-26T17:21:55Z
dc.date2014-11-15T21:08:09Z
dc.date2015-11-26T17:21:55Z
dc.date.accessioned2018-03-29T00:09:24Z
dc.date.available2018-03-29T00:09:24Z
dc.identifierPhysica D-nonlinear Phenomena. Elsevier Science Bv, v. 227, n. 2, n. 135, n. 141, 2007.
dc.identifier0167-2789
dc.identifierWOS:000246034200003
dc.identifier10.1016/j.physd.2007.01.008
dc.identifierhttp://www.repositorio.unicamp.br/jspui/handle/REPOSIP/54662
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/54662
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/54662
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1283480
dc.descriptionThe three-dimensional structure of a protein is believed to be associated with the global minimum of its potential energy function f. We can describe potential energy functions using Cartesian coordinates or internal coordinates (bond lengths, bond angles, and torsion angles). Analytic evaluation of the gradient of f with respect to the internal coordinates requires O(N-4) steps, where N is the number of atoms involved. We provide analytical expressions for the first and second derivatives of f, with respect to the Cartesian coordinates, and prove that the gradient and Hessian can be evaluated in O(N-2), which is the same cost as is required to evaluate f. (c) 2007 Elsevier B.V. All rights reserved.
dc.description227
dc.description2
dc.description135
dc.description141
dc.languageen
dc.publisherElsevier Science Bv
dc.publisherAmsterdam
dc.publisherHolanda
dc.relationPhysica D-nonlinear Phenomena
dc.relationPhysica D
dc.rightsfechado
dc.rightshttp://www.elsevier.com/about/open-access/open-access-policies/article-posting-policy
dc.sourceWeb of Science
dc.subjectpotential energy functions
dc.subjectgradient and Hessian evaluation
dc.subjectDeterministic Global Optimization
dc.subjectDiffusion Equation Method
dc.subjectForce-field
dc.subjectPrediction
dc.subjectProteins
dc.subjectMinimization
dc.subjectAlgorithm
dc.subjectPeptides
dc.subjectMinima
dc.titleAnalytic evaluation of the gradient and Hessian of molecular potential energy functions
dc.typeArtículos de revistas


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