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Author:

Wang, Cun-xin (Wang, Cun-xin.) | Chang, Shan (Chang, Shan.) | Chen, Wei-zu (Chen, Wei-zu.) | Gong, Xin-qi (Gong, Xin-qi.) | Li, Chun-hua (Li, Chun-hua.)

Indexed by:

CPCI-S

Abstract:

Molecular docking technology is an important tool in computer-aided drug discovery and structure prediction for the protein-ligand complex. In this work, based on the analysis of the algorithm of the widely used the docking program AutoDock, we proposed a hybrid parallel method using the message passing interface (MPI) library. The modified programs were applied to dock the small molecule XK263 to its target HIV-1 protease with different number of processors. Docking results indicate that the parallel codes can make a good prediction of the XK263-protease complex structure. The obtained high quality parallel speedup and efficiency show the promising improvement of our method for future applications on structure prediction of protein complex and drug design.

Keyword:

Lamarckian genetic algorithm Molecular docking MPI

Author Community:

  • [ 1 ] [Wang, Cun-xin]Beijing Univ Technol, Coll Life Sci & Bioengn, Beijing 100124, Peoples R China
  • [ 2 ] [Chang, Shan]Beijing Univ Technol, Coll Life Sci & Bioengn, Beijing 100124, Peoples R China
  • [ 3 ] [Chen, Wei-zu]Beijing Univ Technol, Coll Life Sci & Bioengn, Beijing 100124, Peoples R China
  • [ 4 ] [Gong, Xin-qi]Beijing Univ Technol, Coll Life Sci & Bioengn, Beijing 100124, Peoples R China
  • [ 5 ] [Li, Chun-hua]Beijing Univ Technol, Coll Life Sci & Bioengn, Beijing 100124, Peoples R China

Reprint Author's Address:

  • [Wang, Cun-xin]Beijing Univ Technol, Coll Life Sci & Bioengn, Beijing 100124, Peoples R China

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Source :

2008 3RD INTERNATIONAL CONFERENCE ON PERVASIVE COMPUTING AND APPLICATIONS, VOLS 1 AND 2

Year: 2008

Page: 894-897

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 8

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