Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/71881
Type: Artigo de periódico
Title: Solving the molecular distance geometry problem with inaccurate distance data
Author: Souza, M
Lavor, C
Muritiba, A
Maculan, N
Abstract: We present a new iterative algorithm for the molecular distance geometry problem with inaccurate and sparse data, which is based on the solution of linear systems, maximum cliques, and a minimization of nonlinear least-squares function. Computational results with real protein structures are presented in order to validate our approach.
Country: Inglaterra
Editor: Biomed Central Ltd
Rights: aberto
Identifier DOI: 10.1186/1471-2105-14-S9-S7
Date Issue: 2013
Appears in Collections:Artigos e Materiais de Revistas Científicas - Unicamp

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