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Daisuke Takaya

Showing results (1-10 of 29) with videos related to

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Chemical & Pharmaceutical Bulletin|September 1, 2024
Computer-Aided Drug Design Using the Fragment Molecular Orbital Method: Current Status and Future Applications for SBDDDaisuke Takaya
Medicinal Chemistry (Shariqah (United Arab Emirates))|June 22, 2006
FAMS complex: a fully automated homology modeling system for protein complex structuresMayuko Takeda-Shitaka, Genki Terashi, Chieko Chiba, et al.
Current Medicinal Chemistry|March 23, 2004
Protein structure prediction in structure based drug designMayuko Takeda-Shitaka, Daisuke Takaya, Chieko Chiba, et al.
Proteins|June 28, 2005
Searching for protein-protein interaction sites and docking by the methods of molecular dynamics, grid scoring, and the pairwise interaction potential of amino acid residuesGenki Terashi, Mayuko Takeda-Shitaka, Daisuke Takaya, et al.
Journal of Chemical Information and Modeling|March 20, 2012
Application of support vector machine to three-dimensional shape-based virtual screening using comprehensive three-dimensional molecular shape overlay with known inhibitorsTomohiro Sato, Hitomi Yuki, Daisuke Takaya, et al.
Chemical & Pharmaceutical Bulletin|May 11, 2004
Evaluation of homology modeling of the severe acute respiratory syndrome (SARS) coronavirus main protease for structure based drug designMayuko Takeda-Shitaka, Hiroyuki Nojima, Daisuke Takaya, et al.
Proteins|September 28, 2005
Protein structure prediction in CASP6 using CHIMERA and FAMSMayuko Takeda-Shitaka, Genki Terashi, Daisuke Takaya, et al.
Proteins|September 14, 2007
The SKE-DOCK server and human teams based on a combined method of shape complementarity and free energy estimationGenki Terashi, Mayuko Takeda-Shitaka, Kazuhiko Kanou, et al.
Chemical & Pharmaceutical Bulletin|May 3, 2008
Bioinformatics based Ligand-Docking and in-silico screeningDaisuke Takaya, Mayuko Takeda-Shitaka, Genki Terashi, et al.
Journal of Chemical Information and Modeling|January 29, 2013
Prediction of ligand-induced structural polymorphism of receptor interaction sites using machine learningDaisuke Takaya, Tomohiro Sato, Hitomi Yuki, et al.
Pageof 3

Showing results (1-10 of 29) with videos related to

Sort By:
Pageof 3
Chemical & Pharmaceutical Bulletin|September 1, 2024
Computer-Aided Drug Design Using the Fragment Molecular Orbital Method: Current Status and Future Applications for SBDDDaisuke Takaya
Medicinal Chemistry (Shariqah (United Arab Emirates))|June 22, 2006
FAMS complex: a fully automated homology modeling system for protein complex structuresMayuko Takeda-Shitaka, Genki Terashi, Chieko Chiba, et al.
Current Medicinal Chemistry|March 23, 2004
Protein structure prediction in structure based drug designMayuko Takeda-Shitaka, Daisuke Takaya, Chieko Chiba, et al.
Proteins|June 28, 2005
Searching for protein-protein interaction sites and docking by the methods of molecular dynamics, grid scoring, and the pairwise interaction potential of amino acid residuesGenki Terashi, Mayuko Takeda-Shitaka, Daisuke Takaya, et al.
Journal of Chemical Information and Modeling|March 20, 2012
Application of support vector machine to three-dimensional shape-based virtual screening using comprehensive three-dimensional molecular shape overlay with known inhibitorsTomohiro Sato, Hitomi Yuki, Daisuke Takaya, et al.
Chemical & Pharmaceutical Bulletin|May 11, 2004
Evaluation of homology modeling of the severe acute respiratory syndrome (SARS) coronavirus main protease for structure based drug designMayuko Takeda-Shitaka, Hiroyuki Nojima, Daisuke Takaya, et al.
Proteins|September 28, 2005
Protein structure prediction in CASP6 using CHIMERA and FAMSMayuko Takeda-Shitaka, Genki Terashi, Daisuke Takaya, et al.
Proteins|September 14, 2007
The SKE-DOCK server and human teams based on a combined method of shape complementarity and free energy estimationGenki Terashi, Mayuko Takeda-Shitaka, Kazuhiko Kanou, et al.
Chemical & Pharmaceutical Bulletin|May 3, 2008
Bioinformatics based Ligand-Docking and in-silico screeningDaisuke Takaya, Mayuko Takeda-Shitaka, Genki Terashi, et al.
Journal of Chemical Information and Modeling|January 29, 2013
Prediction of ligand-induced structural polymorphism of receptor interaction sites using machine learningDaisuke Takaya, Tomohiro Sato, Hitomi Yuki, et al.
Pageof 3