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Balanced multi-process parallel algorithm for chemical compound inference with given path frequencies
Conference paper   Peer reviewed

Balanced multi-process parallel algorithm for chemical compound inference with given path frequencies

Jiayi Zhou, Kun-Ming Yu, Chun Yuan Lin, Kuei-Chung Shih and Chuan Yi Tang
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol.6082 LNCS(PART 2), pp.178-187
2010

Abstract

Branch-and-bound algorithm Chemical compound inference Drug design Load-balancing Theoretical Computer Science Computer Science (all)
To enumerate chemical compounds with given path frequencies is a fundamental procedure in Chemo- and Bio-informatics. The applications include structure determination, novel molecular development, etc. The problem complexity has been proven as NP-hard. Many methods have been proposed to solve this problem. However, most of them are heuristic algorithms. Fujiwara et al. propose a sequential branch-and-bound algorithm. Although it reaches all solutions and avoids exhaustive searching, the computation time still increases significantly when the number of atoms increases. Hence, in this paper, a parallel algorithm is presented for solving this problem. The experimental results showed that computation time was reduced even when more processes were launched. Moreover, the speed-up ratio for most of the test cases was satisfactory and, furthermore, it showed potential for use in drug design. © Springer-Verlag Berlin Heidelberg 2010.

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