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Andrea Zaliani

Showing results (1-10 of 58) with videos related to

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Journal of Chemical Information and Modeling|March 28, 2006
A knowledge-based weighting approach to ligand-based virtual screeningNikolaus Stiefl, Andrea Zaliani
Journal of Computer-Aided Molecular Design|January 25, 2008
FTree query construction for virtual screening: a statistical analysisChristof Gerlach, Howard Broughton, Andrea Zaliani
SLAS Discovery : Advancing Life Sciences R & D|March 22, 2024
Outline and background for the EU-OS solubility prediction challengeWenyu Wang, Jing Tang, Andrea Zaliani
ACS Omega|August 28, 2023
Pharmacophore-Based Machine Learning Model To Predict Ligand Selectivity for E3 Ligase BindersReagon Karki, Yojana Gadiya, Philip Gribbon, et al.
Bioinformatics Advances|May 15, 2023
Mpox Knowledge Graph: a comprehensive representation embedding chemical entities and associated biology of MpoxReagon Karki, Yojana Gadiya, Andrea Zaliani, et al.
Chemmedchem|September 17, 2008
On the art of compiling and using 'drug-like' chemical fragment spacesJörg Degen, Christof Wegscheid-Gerlach, Andrea Zaliani, et al.
Bioinformatics (Oxford, England)|November 2, 2022
PEMT: a patent enrichment tool for drug discoveryYojana Gadiya, Andrea Zaliani, Philip Gribbon, et al.
Journal of Chemical Information and Modeling|January 24, 2006
ErG: 2D pharmacophore descriptions for scaffold hoppingNikolaus Stiefl, Ian A Watson, Knut Baumann, et al.
Journal of Computer-Aided Molecular Design|May 18, 2004
Identifying the binding mode of a molecular scaffoldDoron Chema, Doron Eren, Avner Yayon, et al.
Scientific Data|May 16, 2024
Exploring SureChEMBL from a drug discovery perspectiveYojana Gadiya, Simran Shetty, Martin Hofmann-Apitius, et al.
Pageof 6

Showing results (1-10 of 58) with videos related to

Sort By:
Pageof 6
Journal of Chemical Information and Modeling|March 28, 2006
A knowledge-based weighting approach to ligand-based virtual screeningNikolaus Stiefl, Andrea Zaliani
Journal of Computer-Aided Molecular Design|January 25, 2008
FTree query construction for virtual screening: a statistical analysisChristof Gerlach, Howard Broughton, Andrea Zaliani
SLAS Discovery : Advancing Life Sciences R & D|March 22, 2024
Outline and background for the EU-OS solubility prediction challengeWenyu Wang, Jing Tang, Andrea Zaliani
ACS Omega|August 28, 2023
Pharmacophore-Based Machine Learning Model To Predict Ligand Selectivity for E3 Ligase BindersReagon Karki, Yojana Gadiya, Philip Gribbon, et al.
Bioinformatics Advances|May 15, 2023
Mpox Knowledge Graph: a comprehensive representation embedding chemical entities and associated biology of MpoxReagon Karki, Yojana Gadiya, Andrea Zaliani, et al.
Chemmedchem|September 17, 2008
On the art of compiling and using 'drug-like' chemical fragment spacesJörg Degen, Christof Wegscheid-Gerlach, Andrea Zaliani, et al.
Bioinformatics (Oxford, England)|November 2, 2022
PEMT: a patent enrichment tool for drug discoveryYojana Gadiya, Andrea Zaliani, Philip Gribbon, et al.
Journal of Chemical Information and Modeling|January 24, 2006
ErG: 2D pharmacophore descriptions for scaffold hoppingNikolaus Stiefl, Ian A Watson, Knut Baumann, et al.
Journal of Computer-Aided Molecular Design|May 18, 2004
Identifying the binding mode of a molecular scaffoldDoron Chema, Doron Eren, Avner Yayon, et al.
Scientific Data|May 16, 2024
Exploring SureChEMBL from a drug discovery perspectiveYojana Gadiya, Simran Shetty, Martin Hofmann-Apitius, et al.
Pageof 6