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

Ola Engkvist

Showing results (11-20 of 135) with videos related to

Pageof 14
Sort By:
RSC Medicinal Chemistry|October 14, 2024
Introduction to the themed collection on 'AI in Medicinal Chemistry'Jian Zhang, Ola Engkvist, Gerhard Hessler
Journal of Molecular Graphics & Modelling|January 29, 2013
Investigation of the influence of molecular topology on ligand bindingRurika Oka, Ola Engkvist, Hongming Chen
ACS Central Science|June 5, 2026
A Return to the Logic-First Spirit of Corey's Retrosynthetic Analysis, Now Implemented in Modern Data-Driven CASPMikhail Kabeshov, Giulia Bergonzini, Ola Engkvist
Journal of Chemical Information and Modeling|November 10, 2021
Exploring Graph Traversal Algorithms in Graph-Based Molecular GenerationRocío Mercado, Esben J Bjerrum, Ola Engkvist
Journal of Chemical Information and Modeling|March 24, 2023
AiZynthTrain: Robust, Reproducible, and Extensible Pipelines for Training Synthesis Prediction ModelsSamuel Genheden, Per-Ola Norrby, Ola Engkvist
Current Opinion in Structural Biology|March 26, 2023
Artificial intelligence in molecular de novo design: Integration with experimentJon Paul Janet, Lewis Mervin, Ola Engkvist
Future Medicinal Chemistry|December 1, 2018
The convergence of artificial intelligence and chemistry for improved drug discoveryClive P Green, Ola Engkvist, Garry Pairaudeau
Future Medicinal Chemistry|September 16, 2016
Does 'Big Data' exist in medicinal chemistry, and if so, how can it be harnessed?Igor V Tetko, Ola Engkvist, Hongming Chen
Journal of Cheminformatics|January 12, 2021
Molecular representations in AI-driven drug discovery: a review and practical guideLaurianne David, Amol Thakkar, Rocío Mercado, et al.
Journal of Cheminformatics|November 1, 2017
Molecular de-novo design through deep reinforcement learningMarcus Olivecrona, Thomas Blaschke, Ola Engkvist, et al.
Pageof 14

Showing results (11-20 of 135) with videos related to

Sort By:
Pageof 14
RSC Medicinal Chemistry|October 14, 2024
Introduction to the themed collection on 'AI in Medicinal Chemistry'Jian Zhang, Ola Engkvist, Gerhard Hessler
Journal of Molecular Graphics & Modelling|January 29, 2013
Investigation of the influence of molecular topology on ligand bindingRurika Oka, Ola Engkvist, Hongming Chen
ACS Central Science|June 5, 2026
A Return to the Logic-First Spirit of Corey's Retrosynthetic Analysis, Now Implemented in Modern Data-Driven CASPMikhail Kabeshov, Giulia Bergonzini, Ola Engkvist
Journal of Chemical Information and Modeling|November 10, 2021
Exploring Graph Traversal Algorithms in Graph-Based Molecular GenerationRocío Mercado, Esben J Bjerrum, Ola Engkvist
Journal of Chemical Information and Modeling|March 24, 2023
AiZynthTrain: Robust, Reproducible, and Extensible Pipelines for Training Synthesis Prediction ModelsSamuel Genheden, Per-Ola Norrby, Ola Engkvist
Current Opinion in Structural Biology|March 26, 2023
Artificial intelligence in molecular de novo design: Integration with experimentJon Paul Janet, Lewis Mervin, Ola Engkvist
Future Medicinal Chemistry|December 1, 2018
The convergence of artificial intelligence and chemistry for improved drug discoveryClive P Green, Ola Engkvist, Garry Pairaudeau
Future Medicinal Chemistry|September 16, 2016
Does 'Big Data' exist in medicinal chemistry, and if so, how can it be harnessed?Igor V Tetko, Ola Engkvist, Hongming Chen
Journal of Cheminformatics|January 12, 2021
Molecular representations in AI-driven drug discovery: a review and practical guideLaurianne David, Amol Thakkar, Rocío Mercado, et al.
Journal of Cheminformatics|November 1, 2017
Molecular de-novo design through deep reinforcement learningMarcus Olivecrona, Thomas Blaschke, Ola Engkvist, et al.
Pageof 14