Title of article
Lagrangian approaches for a class of matching problems in computational biology
Author/Authors
Nicola Yanev، نويسنده , , Rumen Andonov، نويسنده , , Philippe Veber، نويسنده , , Stefan Balev، نويسنده ,
Issue Information
دوهفته نامه با شماره پیاپی سال 2008
Pages
14
From page
1054
To page
1067
Abstract
This paper presents efficient algorithms for solving the problem of aligning a protein structure template to a query amino-acid sequence, known as protein threading problem. We consider the problem as a special case of graph matching problem. We give formal graph and integer programming models of the problem. After studying the properties of these models, we propose two kinds of Lagrangian relaxation for solving them. We present experimental results on real-life instances showing the efficiency of our approaches.
Keywords
Graph matching , Lagrangian relaxation , Cost splitting , Network optimization , Protein threading
Journal title
Computers and Mathematics with Applications
Serial Year
2008
Journal title
Computers and Mathematics with Applications
Record number
920718
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