Presentation 2013/6/20
Improvement of drug clearance pathway prediction using binding free energy calculation
YUKI SAITO, TAKASHI ISHIDA, MASAKAZU SEKIJIMA, YUTAKA AKIYAMA,
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Abstract(in English) Recently, drug development needs longer term and larger budget than before, so it is needed to decrease of them. From such a reason, the computer simulation-based techniques to design drugs which inhibit a target-protein is in the spotlight now. On the other hand, the drugs must be metabolized and excreted. And, one of the techniques to search the chemical compound which satisfy this condition is the drug clearance pathway prediction. Then, we tried to use binding free energy calculation of protein-ligand complex with the docking calculation, one of the computer simulation, for the drug clearance pathway prediction, we improved precision of the system for drug clearance pathway prediction previously developed in our lab.
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Keyword(in English) drug clearance pathway prediction / drug discovery assistance / docking calculation / binding free energy calculation / machine learning
Paper # Vol.2013-BIO-34 No.15
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Committee NC
Conference Date 2013/6/20(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Improvement of drug clearance pathway prediction using binding free energy calculation
Sub Title (in English)
Keyword(1) drug clearance pathway prediction
Keyword(2) drug discovery assistance
Keyword(3) docking calculation
Keyword(4) binding free energy calculation
Keyword(5) machine learning
1st Author's Name YUKI SAITO
1st Author's Affiliation Graduate School of Information Science and Engineering, Tokyo Institute of Techonology()
2nd Author's Name TAKASHI ISHIDA
2nd Author's Affiliation Graduate School of Information Science and Engineering, Tokyo Institute of Techonology
3rd Author's Name MASAKAZU SEKIJIMA
3rd Author's Affiliation Graduate School of Information Science and Engineering, Tokyo Institute of Techonology
4th Author's Name YUTAKA AKIYAMA
4th Author's Affiliation Graduate School of Information Science and Engineering, Tokyo Institute of Techonology
Date 2013/6/20
Paper # Vol.2013-BIO-34 No.15
Volume (vol) vol.113
Number (no) 111
Page pp.pp.-
#Pages 6
Date of Issue