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Jörg Bentzien

Showing results (1-10 of 22) with videos related to

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Drug Discovery Today|October 4, 2020
Crowdsourcing and open innovation in drug discovery: recent contributions and future directionsDavid C Thompson, Jörg Bentzien
Expert Opinion on Drug Discovery|August 12, 2024
Perspectives on current approaches to virtual screening in drug discoveryIngo Muegge, Jörg Bentzien, Yunhui Ge
Drug Discovery Today|February 1, 2015
Crowdsourcing in pharma: a strategic frameworkJörg Bentzien, Ragu Bharadwaj, David C Thompson
Journal of Pharmaceutical Sciences|September 6, 2020
In Silico Models of Human PK Parameters. Prediction of Volume of Distribution Using an Extensive Data Set and a Reduced Number of ParametersFranco Lombardo, Jörg Bentzien, Giuliano Berellini, et al.
Molecular Pharmaceutics|January 29, 2024
Prediction of Human Clearance Using In Silico Models with Reduced BiasFranco Lombardo, Jörg Bentzien, Giuliano Berellini, et al.
Future Medicinal Chemistry|September 2, 2016
Automatically updating predictive modeling workflows support decision-making in drug designIngo Muegge, Jörg Bentzien, Prasenjit Mukherjee, et al.
Drug Discovery Today|January 23, 2013
Crowd computing: using competitive dynamics to develop and refine highly predictive modelsJörg Bentzien, Ingo Muegge, Ben Hamner, et al.
Journal of Computer-Aided Molecular Design|November 22, 2011
DemQSAR: predicting human volume of distribution and clearance of drugsOzgur Demir-Kavuk, Jörg Bentzien, Ingo Muegge, et al.
Journal of Chemical Information and Modeling|August 10, 2017
Kinase Crystal Miner: A Powerful Approach to Repurposing 3D Hinge Binding Fragments and Its Application to Finding Novel Bruton Tyrosine Kinase InhibitorsPrasenjit Mukherjee, Jörg Bentzien, Todd Bosanac, et al.
Journal of Chemical Information and Modeling|January 19, 2010
An in silico method for predicting Ames activities of primary aromatic amines by calculating the stabilities of nitrenium ionsJörg Bentzien, Eugene R Hickey, Raymond A Kemper, et al.
Pageof 3

Showing results (1-10 of 22) with videos related to

Sort By:
Pageof 3
Drug Discovery Today|October 4, 2020
Crowdsourcing and open innovation in drug discovery: recent contributions and future directionsDavid C Thompson, Jörg Bentzien
Expert Opinion on Drug Discovery|August 12, 2024
Perspectives on current approaches to virtual screening in drug discoveryIngo Muegge, Jörg Bentzien, Yunhui Ge
Drug Discovery Today|February 1, 2015
Crowdsourcing in pharma: a strategic frameworkJörg Bentzien, Ragu Bharadwaj, David C Thompson
Journal of Pharmaceutical Sciences|September 6, 2020
In Silico Models of Human PK Parameters. Prediction of Volume of Distribution Using an Extensive Data Set and a Reduced Number of ParametersFranco Lombardo, Jörg Bentzien, Giuliano Berellini, et al.
Molecular Pharmaceutics|January 29, 2024
Prediction of Human Clearance Using In Silico Models with Reduced BiasFranco Lombardo, Jörg Bentzien, Giuliano Berellini, et al.
Future Medicinal Chemistry|September 2, 2016
Automatically updating predictive modeling workflows support decision-making in drug designIngo Muegge, Jörg Bentzien, Prasenjit Mukherjee, et al.
Drug Discovery Today|January 23, 2013
Crowd computing: using competitive dynamics to develop and refine highly predictive modelsJörg Bentzien, Ingo Muegge, Ben Hamner, et al.
Journal of Computer-Aided Molecular Design|November 22, 2011
DemQSAR: predicting human volume of distribution and clearance of drugsOzgur Demir-Kavuk, Jörg Bentzien, Ingo Muegge, et al.
Journal of Chemical Information and Modeling|August 10, 2017
Kinase Crystal Miner: A Powerful Approach to Repurposing 3D Hinge Binding Fragments and Its Application to Finding Novel Bruton Tyrosine Kinase InhibitorsPrasenjit Mukherjee, Jörg Bentzien, Todd Bosanac, et al.
Journal of Chemical Information and Modeling|January 19, 2010
An in silico method for predicting Ames activities of primary aromatic amines by calculating the stabilities of nitrenium ionsJörg Bentzien, Eugene R Hickey, Raymond A Kemper, et al.
Pageof 3