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

Vera Jost

Showing results (1-10 of 4) with videos related to

Pageof 1
Sort By:
ACS Central Science|March 2, 2026
Which Reaction Conditions Work on Drug-Like Molecules? Lessons from 66,000 High-Throughput ExperimentsJesse Ahlbrecht, Marius D R Lutz, Vera Jost, et al.
Organic & Biomolecular Chemistry|March 24, 2026
HTE-enabled discovery of palladium-catalysed (hetero)arylation of barbituric and meldrum's acidKacper J Patej, Joel Bigolin, Vera Jost, et al.
RSC Medicinal Chemistry|July 19, 2024
Geometric deep learning-guided Suzuki reaction conditions assessment for applications in medicinal chemistryKenneth Atz, David F Nippa, Alex T Müller, et al.
Nature Chemistry|November 23, 2023
Enabling late-stage drug diversification by high-throughput experimentation with geometric deep learningDavid F Nippa, Kenneth Atz, Remo Hohler, et al.
Pageof 1

Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
ACS Central Science|March 2, 2026
Which Reaction Conditions Work on Drug-Like Molecules? Lessons from 66,000 High-Throughput ExperimentsJesse Ahlbrecht, Marius D R Lutz, Vera Jost, et al.
Organic & Biomolecular Chemistry|March 24, 2026
HTE-enabled discovery of palladium-catalysed (hetero)arylation of barbituric and meldrum's acidKacper J Patej, Joel Bigolin, Vera Jost, et al.
RSC Medicinal Chemistry|July 19, 2024
Geometric deep learning-guided Suzuki reaction conditions assessment for applications in medicinal chemistryKenneth Atz, David F Nippa, Alex T Müller, et al.
Nature Chemistry|November 23, 2023
Enabling late-stage drug diversification by high-throughput experimentation with geometric deep learningDavid F Nippa, Kenneth Atz, Remo Hohler, et al.
Pageof 1