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

Shilva Kayastha

Showing results (1-10 of 7) with videos related to

Pageof 1
Sort By:
Future Medicinal Chemistry|February 17, 2015
Structural diversity and potency range distribution of scaffolds from compounds active against current pharmaceutical targetsShilva Kayastha, Dilyana Dimova, Dagmar Stumpfe, et al.
Journal of Chemical Information and Modeling|January 14, 2014
Large-scale assessment of activity landscape feature probabilities of bioactive compoundsShilva Kayastha, Dilyana Dimova, Preeti Iyer, et al.
Journal of Computer-Aided Molecular Design|October 8, 2017
From bird's eye views to molecular communities: two-layered visualization of structure-activity relationships in large compound data setsShilva Kayastha, Ryo Kunimoto, Dragos Horvath, et al.
Journal of Chemical Information and Modeling|April 15, 2017
Privileged Structural Motif Detection and Analysis Using Generative Topographic MapsShilva Kayastha, Dragos Horvath, Erik Gilberg, et al.
Journal of Computer-Aided Molecular Design|August 3, 2015
Visualization of multi-property landscapes for compound selection and optimizationAntonio de la Vega de León, Shilva Kayastha, Dilyana Dimova, et al.
Journal of Chemical Information and Modeling|August 27, 2016
Prediction of Activity Cliffs Using Condensed Graphs of Reaction Representations, Descriptor Recombination, Support Vector Machine Classification, and Support Vector RegressionDragos Horvath, Gilles Marcou, Alexandre Varnek, et al.
Journal of Medicinal Chemistry|November 17, 2015
Monitoring the Progression of Structure-Activity Relationship Information during Lead OptimizationVeerabahu Shanmugasundaram, Liying Zhang, Shilva Kayastha, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Future Medicinal Chemistry|February 17, 2015
Structural diversity and potency range distribution of scaffolds from compounds active against current pharmaceutical targetsShilva Kayastha, Dilyana Dimova, Dagmar Stumpfe, et al.
Journal of Chemical Information and Modeling|January 14, 2014
Large-scale assessment of activity landscape feature probabilities of bioactive compoundsShilva Kayastha, Dilyana Dimova, Preeti Iyer, et al.
Journal of Computer-Aided Molecular Design|October 8, 2017
From bird's eye views to molecular communities: two-layered visualization of structure-activity relationships in large compound data setsShilva Kayastha, Ryo Kunimoto, Dragos Horvath, et al.
Journal of Chemical Information and Modeling|April 15, 2017
Privileged Structural Motif Detection and Analysis Using Generative Topographic MapsShilva Kayastha, Dragos Horvath, Erik Gilberg, et al.
Journal of Computer-Aided Molecular Design|August 3, 2015
Visualization of multi-property landscapes for compound selection and optimizationAntonio de la Vega de León, Shilva Kayastha, Dilyana Dimova, et al.
Journal of Chemical Information and Modeling|August 27, 2016
Prediction of Activity Cliffs Using Condensed Graphs of Reaction Representations, Descriptor Recombination, Support Vector Machine Classification, and Support Vector RegressionDragos Horvath, Gilles Marcou, Alexandre Varnek, et al.
Journal of Medicinal Chemistry|November 17, 2015
Monitoring the Progression of Structure-Activity Relationship Information during Lead OptimizationVeerabahu Shanmugasundaram, Liying Zhang, Shilva Kayastha, et al.
Pageof 1