DocumentCode :
1863585
Title :
GridFMO — Quantum chemistry of proteins on the grid
Author :
Ikegamia, Tsutomu ; Jun Maki ; Takami, T. ; Tanaka, Yuichi ; Yokokawa, M. ; Sekiguchi, Shigeyuki ; Aoyagi, Masahiro
Author_Institution :
AIST, Tsukuba
fYear :
2007
fDate :
19-21 Sept. 2007
Firstpage :
153
Lastpage :
160
Abstract :
A GridFMO application was developed by recoining the fragment molecular orbital (FMO) method of GAMESS with grid technology. With the GridFMO, quantum calculations of macro molecules become possible by using large amount of computational resources collected from many moderate-sized cluster computers. A new middleware suite was developed based on Ninf-G, whose fault tolerance and flexible resource management were found to be indispensable for long-term calculations. The GridFMO was used to draw ab initio potential energy curves of a protein motor system with 16,664 atoms. For the calculations, 10 cluster computers over the pacific rim were used, sharing the resources with other users via butch queue systems on each machine. A series of 14 GridFMO calculations were conducted for 70 days, coping with more than 100 problems cropping up. The FMO curves were compared against the molecular mechanics (MM), and it was confirmed that (1) the FMO method is capable of drawing smooth curves despite several cut-off approximations, and that (2) the MM method is reliable enough for molecular modeling.
Keywords :
ab initio calculations; biochemistry; biology computing; grid computing; molecular biophysics; orbital calculations; proteins; quantum chemistry; GAMESS; Grid; GridFMO; Ninf-G; ab initio potential energy curves; butch queue systems; fault tolerance; flexible resource management; fragment molecular orbital method; macromolecules; molecular mechanics; proteins; quantum chemistry; Application software; Chemical technology; Chemistry; Fault tolerance; Grid computing; Middleware; Orbital calculations; Proteins; Quantum computing; Resource management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Grid Computing, 2007 8th IEEE/ACM International Conference on
Conference_Location :
Austin, Texas
Print_ISBN :
978-1-4244-1560-1
Electronic_ISBN :
978-1-4244-1560-1
Type :
conf
DOI :
10.1109/GRID.2007.4354128
Filename :
4354128
Link To Document :
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