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

Kathrin Heikamp

Showing results (1-10 of 16) with videos related to

Pageof 2
Sort By:
Journal of Chemical Information and Modeling|July 7, 2011
Large-scale similarity search profiling of ChEMBL compound data setsKathrin Heikamp, Jürgen Bajorath
Journal of Chemical Information and Modeling|July 29, 2011
How do 2D fingerprints detect structurally diverse active compounds? Revealing compound subset-specific fingerprint features through systematic selectionKathrin Heikamp, Jürgen Bajorath
Journal of Chemical Information and Modeling|March 23, 2013
Prediction of compounds with closely related activity profiles using weighted support vector machine linear combinationsKathrin Heikamp, Jürgen Bajorath
Expert Opinion on Drug Discovery|December 6, 2013
Support vector machines for drug discoveryKathrin Heikamp, Jürgen Bajorath
Chemical Biology & Drug Design|December 21, 2012
The future of virtual compound screeningKathrin Heikamp, Jürgen Bajorath
Journal of Chemical Information and Modeling|June 27, 2013
Comparison of confirmed inactive and randomly selected compounds as negative training examples in support vector machine-based virtual screeningKathrin Heikamp, Jürgen Bajorath
Future Medicinal Chemistry|October 24, 2012
Fingerprint design and engineering strategies: rationalizing and improving similarity search performanceKathrin Heikamp, Jürgen Bajorat
Journal of Chemical Information and Modeling|April 16, 2013
Compound pathway model to capture SAR progression: comparison of activity cliff-dependent and -independent pathwaysDagmar Stumpfe, Dilyana Dimova, Kathrin Heikamp, et al.
Chemical Biology & Drug Design|January 30, 2014
Modeling of compound profiling experiments using support vector machinesJenny Balfer, Kathrin Heikamp, Stefan Laufer, et al.
Chemical Biology & Drug Design|December 1, 2010
Potency-directed similarity searching using support vector machinesAnne M Wassermann, Kathrin Heikamp, Jürgen Bajorath
Pageof 2

Showing results (1-10 of 16) with videos related to

Sort By:
Pageof 2
Journal of Chemical Information and Modeling|July 7, 2011
Large-scale similarity search profiling of ChEMBL compound data setsKathrin Heikamp, Jürgen Bajorath
Journal of Chemical Information and Modeling|July 29, 2011
How do 2D fingerprints detect structurally diverse active compounds? Revealing compound subset-specific fingerprint features through systematic selectionKathrin Heikamp, Jürgen Bajorath
Journal of Chemical Information and Modeling|March 23, 2013
Prediction of compounds with closely related activity profiles using weighted support vector machine linear combinationsKathrin Heikamp, Jürgen Bajorath
Expert Opinion on Drug Discovery|December 6, 2013
Support vector machines for drug discoveryKathrin Heikamp, Jürgen Bajorath
Chemical Biology & Drug Design|December 21, 2012
The future of virtual compound screeningKathrin Heikamp, Jürgen Bajorath
Journal of Chemical Information and Modeling|June 27, 2013
Comparison of confirmed inactive and randomly selected compounds as negative training examples in support vector machine-based virtual screeningKathrin Heikamp, Jürgen Bajorath
Future Medicinal Chemistry|October 24, 2012
Fingerprint design and engineering strategies: rationalizing and improving similarity search performanceKathrin Heikamp, Jürgen Bajorat
Journal of Chemical Information and Modeling|April 16, 2013
Compound pathway model to capture SAR progression: comparison of activity cliff-dependent and -independent pathwaysDagmar Stumpfe, Dilyana Dimova, Kathrin Heikamp, et al.
Chemical Biology & Drug Design|January 30, 2014
Modeling of compound profiling experiments using support vector machinesJenny Balfer, Kathrin Heikamp, Stefan Laufer, et al.
Chemical Biology & Drug Design|December 1, 2010
Potency-directed similarity searching using support vector machinesAnne M Wassermann, Kathrin Heikamp, Jürgen Bajorath
Pageof 2