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

Stephen R Johnson

Showing results (1-10 of 32) with videos related to

Pageof 4
Sort By:
Journal of Chemical Information and Modeling|December 29, 2007
The trouble with QSAR (or how I learned to stop worrying and embrace fallacy)Stephen R Johnson
The AAPS Journal|April 6, 2006
Recent progress in the computational prediction of aqueous solubility and absorptionStephen R Johnson, Weifan Zheng
Toxins|March 29, 2020
Aspartic Acid Isomerization Characterized by High Definition Mass Spectrometry Significantly Alters the Bioactivity of a Novel Toxin from <i>Poecilotheria</i>Stephen R Johnson, Hillary G Rikli
Drug Discovery Today|July 5, 2008
Grid computing in large pharmaceutical molecular modelingBrian L Claus, Stephen R Johnson
Journal of Chemical Information and Modeling|November 28, 2006
A novel method to simulate the hydrophobic effect and its application to the ranking of host/guest complexesArthur M Doweyko, Stephen R Johnson
Drug Discovery Today|May 25, 2011
To measure is to know: an approach to CADD performance metricsDeborah Loughney, Brian L Claus, Stephen R Johnson
Journal of Computer-Aided Molecular Design|October 26, 2019
Electrostatic-field and surface-shape similarity for virtual screening and pose predictionAnn E Cleves, Stephen R Johnson, Ajay N Jain
Journal of Chemical Information and Modeling|December 10, 2021
Synergy and Complementarity between Focused Machine Learning and Physics-Based Simulation in Affinity PredictionAnn E Cleves, Stephen R Johnson, Ajay N Jain
Toxins|September 26, 2025
Modification of Closed-State Inactivation in Voltage-Gated Sodium Channel Na<sub>v</sub>1.7 by Two Novel Arachnid ToxinsJohn W Johnson, Hillary G Rikli, Stephen R Johnson
International Journal of Pharmaceutics|June 23, 2007
Development of an in silico model for predicting efflux substrates in Caco-2 cellsLitai Zhang, Praveen V Balimane, Stephen R Johnson, et al.
Pageof 4

Showing results (1-10 of 32) with videos related to

Sort By:
Pageof 4
Journal of Chemical Information and Modeling|December 29, 2007
The trouble with QSAR (or how I learned to stop worrying and embrace fallacy)Stephen R Johnson
The AAPS Journal|April 6, 2006
Recent progress in the computational prediction of aqueous solubility and absorptionStephen R Johnson, Weifan Zheng
Toxins|March 29, 2020
Aspartic Acid Isomerization Characterized by High Definition Mass Spectrometry Significantly Alters the Bioactivity of a Novel Toxin from <i>Poecilotheria</i>Stephen R Johnson, Hillary G Rikli
Drug Discovery Today|July 5, 2008
Grid computing in large pharmaceutical molecular modelingBrian L Claus, Stephen R Johnson
Journal of Chemical Information and Modeling|November 28, 2006
A novel method to simulate the hydrophobic effect and its application to the ranking of host/guest complexesArthur M Doweyko, Stephen R Johnson
Drug Discovery Today|May 25, 2011
To measure is to know: an approach to CADD performance metricsDeborah Loughney, Brian L Claus, Stephen R Johnson
Journal of Computer-Aided Molecular Design|October 26, 2019
Electrostatic-field and surface-shape similarity for virtual screening and pose predictionAnn E Cleves, Stephen R Johnson, Ajay N Jain
Journal of Chemical Information and Modeling|December 10, 2021
Synergy and Complementarity between Focused Machine Learning and Physics-Based Simulation in Affinity PredictionAnn E Cleves, Stephen R Johnson, Ajay N Jain
Toxins|September 26, 2025
Modification of Closed-State Inactivation in Voltage-Gated Sodium Channel Na<sub>v</sub>1.7 by Two Novel Arachnid ToxinsJohn W Johnson, Hillary G Rikli, Stephen R Johnson
International Journal of Pharmaceutics|June 23, 2007
Development of an in silico model for predicting efflux substrates in Caco-2 cellsLitai Zhang, Praveen V Balimane, Stephen R Johnson, et al.
Pageof 4