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Full Record Details
Persistent URL
http://purl.org/net/epubs/work/40886
Record Status
Checked
Record Id
40886
Title
Ab Initio
potential grid based docking: From High Performance Computing to
In Silico
Screening
Contributors
MR de Jonge (MolMo Services BVBA)
,
HM Vinkers (MolMo Services BVBA)
,
JH van Lenthe (Utrecht U.)
,
F Daeyaert (MolMo Services BVBA)
,
IJ Bush (Science and Technology Facilities Council)
,
HJJ van Dam (Science and Technology Facilities Council)
,
P Sherwood (Science and Technology Facilities Council)
,
MF Guest (Cardiff U.)
,
A Siebes (American Institute of Physics) (Ed.)
,
M Berthold (American Institute of Physics) (Ed.)
,
R Glen (American Institute of Physics) (Ed.)
,
A Feelders (American Institute of Physics) (Ed.)
Abstract
We present a new method for the generation of potential grids for protein-ligand docking. The potential of the docking target structure is obtained directly from the electron density derived through an ab initio computation. A large subregion was selected to allow the full ab initio treatment of a the Isocitrate Lyase enzyme. The electrostatic potential is tested by docking a small charged molecule (succinate) into the binding site. The ab initio grid yields a superior result by producing the best binding orientation and position, and by recognizing it as the best. In contrast the same docking procedure, but using a classical point-charge based potential, produces a number of additional incorrect binding poses, and does not recognize the correct pose as the best solution.
Organisation
CCLRC
,
CSE
,
CSE-CCG
,
CSE-HEC
Keywords
Chemistry
,
grid
,
Ab Initio Docking Algorithm
,
ABIDA
,
docking
,
electrostatic potential
Funding Information
Related Research Object(s):
Licence Information:
Language
English (EN)
Type
Details
URI(s)
Local file(s)
Year
Paper In Conference Proceedings
AIP Conference Proceedings 940, pp 168-178. Is in proceedings of: The 3rd International Symposium on Computational Life Science (CompLife 2007), Utrecht, 4-5 Oct 2007.
doi:10.1063/1.2793399
2007
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