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International Parallel and Distributed Processing Symposium (IPDPS'03)
Solving the Protein Threading Problem in Parallel
Nice, France
April 22-April 26
ISBN: 0-7695-1926-1
Nicola Yanev, University of Sofia
Rumen Andonov, IRISA, Campus de Beaulieu
We propose a network flow formulation for protein threading and show its equivalence with the shortest path problem on a graph with a particular structure. The underlying Mixed Integer Programming (MIP) model proves to be very appropriate-huge real-life instances have been solved in a reasonable time by using only a Mixed Integer Optimizer. The properties of the MIP model allow decomposition of the main problem on a large number of subproblems (tasks). We show that a branch&bound alike algorithm can be efficiently applied to solving in parallel these tasks, which leads to a significant reduction in the total running time.
Citation:
Nicola Yanev, Rumen Andonov, "Solving the Protein Threading Problem in Parallel," ipdps, pp.157a, International Parallel and Distributed Processing Symposium (IPDPS'03), 2003
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