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

Joel S Freundlich

Showing results (1-10 of 105) with videos related to

Pageof 11
Sort By:
Trends in Microbiology|June 18, 2017
Antimycobacterial Metabolism: Illuminating Mycobacterium tuberculosis Biology and Drug DiscoveryDivya Awasthi, Joel S Freundlich
Pharmaceutical Research|May 7, 2011
Validating new tuberculosis computational models with public whole cell screening aerobic activity datasetsSean Ekins, Joel S Freundlich
Methods in Molecular Biology (Clifton, N.J.)|April 10, 2013
Computational models for tuberculosis drug discoverySean Ekins, Joel S Freundlich
Inorganic Chemistry|December 4, 1996
Synthesis of Triamidoamine Complexes of NiobiumJoel S. Freundlich, Richard R. Schrock
F1000Research|February 10, 2015
A common feature pharmacophore for FDA-approved drugs inhibiting the Ebola virusSean Ekins, Joel S Freundlich, Megan Coffee
Journal of Chemical Information and Modeling|October 23, 2013
Fusing dual-event data sets for Mycobacterium tuberculosis machine learning models and their evaluationSean Ekins, Joel S Freundlich, Robert C Reynolds
Drug Discovery Today|July 5, 2014
Minding the gaps in tuberculosis researchSean Ekins, Eric L Nuermberger, Joel S Freundlich
Journal of Chemical Information and Modeling|June 27, 2014
Are bigger data sets better for machine learning? Fusing single-point and dual-event dose response data for Mycobacterium tuberculosisSean Ekins, Joel S Freundlich, Robert C Reynolds
Nature Reviews. Microbiology|December 15, 2007
Drugs versus bugs: in pursuit of the persistent predator Mycobacterium tuberculosisJames C Sacchettini, Eric J Rubin, Joel S Freundlich
Pharmaceutical Research|August 31, 2013
Computational models for neglected diseases: gaps and opportunitiesElizabeth L Ponder, Joel S Freundlich, Malabika Sarker, et al.
Pageof 11

Showing results (1-10 of 105) with videos related to

Sort By:
Pageof 11
Trends in Microbiology|June 18, 2017
Antimycobacterial Metabolism: Illuminating Mycobacterium tuberculosis Biology and Drug DiscoveryDivya Awasthi, Joel S Freundlich
Pharmaceutical Research|May 7, 2011
Validating new tuberculosis computational models with public whole cell screening aerobic activity datasetsSean Ekins, Joel S Freundlich
Methods in Molecular Biology (Clifton, N.J.)|April 10, 2013
Computational models for tuberculosis drug discoverySean Ekins, Joel S Freundlich
Inorganic Chemistry|December 4, 1996
Synthesis of Triamidoamine Complexes of NiobiumJoel S. Freundlich, Richard R. Schrock
F1000Research|February 10, 2015
A common feature pharmacophore for FDA-approved drugs inhibiting the Ebola virusSean Ekins, Joel S Freundlich, Megan Coffee
Journal of Chemical Information and Modeling|October 23, 2013
Fusing dual-event data sets for Mycobacterium tuberculosis machine learning models and their evaluationSean Ekins, Joel S Freundlich, Robert C Reynolds
Drug Discovery Today|July 5, 2014
Minding the gaps in tuberculosis researchSean Ekins, Eric L Nuermberger, Joel S Freundlich
Journal of Chemical Information and Modeling|June 27, 2014
Are bigger data sets better for machine learning? Fusing single-point and dual-event dose response data for Mycobacterium tuberculosisSean Ekins, Joel S Freundlich, Robert C Reynolds
Nature Reviews. Microbiology|December 15, 2007
Drugs versus bugs: in pursuit of the persistent predator Mycobacterium tuberculosisJames C Sacchettini, Eric J Rubin, Joel S Freundlich
Pharmaceutical Research|August 31, 2013
Computational models for neglected diseases: gaps and opportunitiesElizabeth L Ponder, Joel S Freundlich, Malabika Sarker, et al.
Pageof 11