Global improvements of a  protein alignment algorithm  and comparison with a global optimization solver

Paulo Gouveia; Roberto Andreani; Ana Friedlander; Jose Mario Martínez; Leandro Martínez

Bulletin of Computational Applied Mathematics (Jan 2013)

Global improvements of a protein alignment algorithm and comparison with a global optimization solver

Paulo Gouveia,
Roberto Andreani,
Ana Friedlander,
Jose Mario Martínez,
Leandro Martínez

Affiliations

Paulo Gouveia: Centro Universitário do Norte Paulista, Rio Preto, SP, Brazil
Roberto Andreani: Department of Applied Mathematics, Institute of Mathematics, Statistics and Scientific Computing, University of Campinas, Campinas SP, Brazil
Ana Friedlander: University of Campinas, Campinas SP, Brazil
Jose Mario Martínez: University of Campinas, Campinas SP, Brazil
Leandro Martínez: Department of Physics, University of Sao Paulo at S\~ao Carlos, Sao Carlos SP, Brazil

Journal volume & issue: Vol. 1, no. 1
pp. 11 – 24

Abstract

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The LovoAlign method for Protein Alignment, based on the Low-Order Value Optimization theory, is recalled. The method is modified in order to improve global convergence properties and compared against other global minimization procedures.

Published in Bulletin of Computational Applied Mathematics

ISSN: 2244-8659 (Online)
Publisher: Universidad Simón Bolívar
Country of publisher: Venezuela, Bolivarian Republic of
LCC subjects: Science: Mathematics
Website: http://www.compama.co.usb.ve/

About the journal

Abstract

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