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
Link To Document :
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