Lagrangian Approaches for a class of Matching Problems in Computational Biology
Quantitative Methods
2007-05-23 v1
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
Cite
@article{arxiv.q-bio/0609001,
title = {Lagrangian Approaches for a class of Matching Problems in Computational Biology},
author = {Nicola Yanev and Rumen Andonov and Philippe Veber and Stefan Balev},
journal= {arXiv preprint arXiv:q-bio/0609001},
year = {2007}
}