Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Alexander Tropsha

Showing results (41-50 of 248) with videos related to

Pageof 25
Sort By:
Science (New York, N.Y.)|September 2, 2006
Why academic drug discovery makes senseAlan P Kozikowski, Bryan Roth, Alexander Tropsha
Journal of Medicinal Chemistry|November 11, 2005
Application of validated QSAR models of D1 dopaminergic antagonists for database miningScott Oloff, Richard B Mailman, Alexander Tropsha
Journal of Chemical Information and Modeling|January 4, 2021
OpenChem: A Deep Learning Toolkit for Computational Chemistry and Drug DesignMaria Korshunova, Boris Ginsburg, Alexander Tropsha, et al.
Journal of Controlled Release : Official Journal of the Controlled Release Society|November 5, 2013
Computer-aided design of liposomal drugs: In silico prediction and experimental validation of drug candidates for liposomal remote loadingAhuva Cern, Yechezkel Barenholz, Alexander Tropsha, et al.
Nature Nanotechnology|December 7, 2017
Reproducibility, sharing and progress in nanomaterial databasesAlexander Tropsha, Karmann C Mills, Anthony J Hickey
Environmental Health Perspectives|April 17, 2008
Use of cell viability assay data improves the prediction accuracy of conventional quantitative structure-activity relationship models of animal carcinogenicityHao Zhu, Ivan Rusyn, Ann Richard, et al.
Journal of Chemical Information and Modeling|November 21, 2013
Data set modelability by QSARAlexander Golbraikh, Eugene Muratov, Denis Fourches, et al.
Journal of Chemical Information and Modeling|February 7, 2017
Phantom PAINS: Problems with the Utility of Alerts for Pan-Assay INterference CompoundSStephen J Capuzzi, Eugene N Muratov, Alexander Tropsha
Bioinformatics (Oxford, England)|October 5, 2010
Chembench: a cheminformatics workbenchTheo Walker, Christopher M Grulke, Diane Pozefsky, et al.
Journal of Molecular Graphics & Modelling|September 15, 2004
Modeling of p38 mitogen-activated protein kinase inhibitors using the Catalyst HypoGen and k-nearest neighbor QSAR methodsZhiyan Xiao, Shikha Varma, Yun-De Xiao, et al.
Pageof 25

Showing results (41-50 of 248) with videos related to

Sort By:
Pageof 25
Science (New York, N.Y.)|September 2, 2006
Why academic drug discovery makes senseAlan P Kozikowski, Bryan Roth, Alexander Tropsha
Journal of Medicinal Chemistry|November 11, 2005
Application of validated QSAR models of D1 dopaminergic antagonists for database miningScott Oloff, Richard B Mailman, Alexander Tropsha
Journal of Chemical Information and Modeling|January 4, 2021
OpenChem: A Deep Learning Toolkit for Computational Chemistry and Drug DesignMaria Korshunova, Boris Ginsburg, Alexander Tropsha, et al.
Journal of Controlled Release : Official Journal of the Controlled Release Society|November 5, 2013
Computer-aided design of liposomal drugs: In silico prediction and experimental validation of drug candidates for liposomal remote loadingAhuva Cern, Yechezkel Barenholz, Alexander Tropsha, et al.
Nature Nanotechnology|December 7, 2017
Reproducibility, sharing and progress in nanomaterial databasesAlexander Tropsha, Karmann C Mills, Anthony J Hickey
Environmental Health Perspectives|April 17, 2008
Use of cell viability assay data improves the prediction accuracy of conventional quantitative structure-activity relationship models of animal carcinogenicityHao Zhu, Ivan Rusyn, Ann Richard, et al.
Journal of Chemical Information and Modeling|November 21, 2013
Data set modelability by QSARAlexander Golbraikh, Eugene Muratov, Denis Fourches, et al.
Journal of Chemical Information and Modeling|February 7, 2017
Phantom PAINS: Problems with the Utility of Alerts for Pan-Assay INterference CompoundSStephen J Capuzzi, Eugene N Muratov, Alexander Tropsha
Bioinformatics (Oxford, England)|October 5, 2010
Chembench: a cheminformatics workbenchTheo Walker, Christopher M Grulke, Diane Pozefsky, et al.
Journal of Molecular Graphics & Modelling|September 15, 2004
Modeling of p38 mitogen-activated protein kinase inhibitors using the Catalyst HypoGen and k-nearest neighbor QSAR methodsZhiyan Xiao, Shikha Varma, Yun-De Xiao, et al.
Pageof 25