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

Daniel Reker

Showing results (11-20 of 56) with videos related to

Pageof 6
Sort By:
RSC Medicinal Chemistry|July 19, 2024
Leveraging bounded datapoints to classify molecular potency improvementsZachary Fralish, Paul Skaluba, Daniel Reker
Proceedings of the National Academy of Sciences of the United States of America|March 5, 2014
Identifying the macromolecular targets of de novo-designed chemical entities through self-organizing map consensusDaniel Reker, Tiago Rodrigues, Petra Schneider, et al.
Chimia|December 2, 2014
Coping with polypharmacology by computational medicinal chemistryGisbert Schneider, Daniel Reker, Tiago Rodrigues, et al.
Nature Chemistry|May 25, 2016
Counting on natural products for drug designTiago Rodrigues, Daniel Reker, Petra Schneider, et al.
Nature Chemistry|April 17, 2019
Computational advances in combating colloidal aggregation in drug discoveryDaniel Reker, Gonçalo J L Bernardes, Tiago Rodrigues
Journal of Cheminformatics|October 26, 2023
DeepDelta: predicting ADMET improvements of molecular derivatives with deep learningZachary Fralish, Ashley Chen, Paul Skaluba, et al.
Future Medicinal Chemistry|March 7, 2017
Active learning for computational chemogenomicsDaniel Reker, Petra Schneider, Gisbert Schneider, et al.
Iscience|April 10, 2026
Profiling biological effects of microbiome metabolites via machine learningHong A Chung, Zachary Fralish, Tiffany Tu, et al.
Journal of Chemical Information and Modeling|July 28, 2023
Interpretable Molecular Property Predictions Using Marginalized Graph KernelsYan Xiang, Yu-Hang Tang, Guang Lin, et al.
Angewandte Chemie (International Ed. in English)|July 24, 2015
Revealing the Macromolecular Targets of Fragment-Like Natural ProductsTiago Rodrigues, Daniel Reker, Jens Kunze, et al.
Pageof 6

Showing results (11-20 of 56) with videos related to

Sort By:
Pageof 6
RSC Medicinal Chemistry|July 19, 2024
Leveraging bounded datapoints to classify molecular potency improvementsZachary Fralish, Paul Skaluba, Daniel Reker
Proceedings of the National Academy of Sciences of the United States of America|March 5, 2014
Identifying the macromolecular targets of de novo-designed chemical entities through self-organizing map consensusDaniel Reker, Tiago Rodrigues, Petra Schneider, et al.
Chimia|December 2, 2014
Coping with polypharmacology by computational medicinal chemistryGisbert Schneider, Daniel Reker, Tiago Rodrigues, et al.
Nature Chemistry|May 25, 2016
Counting on natural products for drug designTiago Rodrigues, Daniel Reker, Petra Schneider, et al.
Nature Chemistry|April 17, 2019
Computational advances in combating colloidal aggregation in drug discoveryDaniel Reker, Gonçalo J L Bernardes, Tiago Rodrigues
Journal of Cheminformatics|October 26, 2023
DeepDelta: predicting ADMET improvements of molecular derivatives with deep learningZachary Fralish, Ashley Chen, Paul Skaluba, et al.
Future Medicinal Chemistry|March 7, 2017
Active learning for computational chemogenomicsDaniel Reker, Petra Schneider, Gisbert Schneider, et al.
Iscience|April 10, 2026
Profiling biological effects of microbiome metabolites via machine learningHong A Chung, Zachary Fralish, Tiffany Tu, et al.
Journal of Chemical Information and Modeling|July 28, 2023
Interpretable Molecular Property Predictions Using Marginalized Graph KernelsYan Xiang, Yu-Hang Tang, Guang Lin, et al.
Angewandte Chemie (International Ed. in English)|July 24, 2015
Revealing the Macromolecular Targets of Fragment-Like Natural ProductsTiago Rodrigues, Daniel Reker, Jens Kunze, et al.
Pageof 6