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

Eleni E Litsa

Showing results (1-10 of 6) with videos related to

Pageof 1
Sort By:
Expert Opinion on Drug Metabolism & Toxicology|October 28, 2021
Machine learning models in the prediction of drug metabolism: challenges and future perspectivesEleni E Litsa, Payel Das, Lydia E Kavraki
Chemical Science|June 7, 2021
Prediction of drug metabolites using neural machine translationEleni E Litsa, Payel Das, Lydia E Kavraki
Communications Chemistry|June 23, 2023
An end-to-end deep learning framework for translating mass spectra to de-novo moleculesEleni E Litsa, Vijil Chenthamarakshan, Payel Das, et al.
Scientific Reports|April 30, 2025
Targeted molecular generation with latent reinforcement learningRagy Haddad, Eleni E Litsa, Zhen Liu, et al.
Tissue Engineering. Part A|September 17, 2020
Machine Learning-Guided Three-Dimensional Printing of Tissue Engineering ScaffoldsAnja Conev, Eleni E Litsa, Marissa R Perez, et al.
Journal of Chemical Information and Modeling|December 1, 2018
Machine Learning Guided Atom Mapping of Metabolic ReactionsEleni E Litsa, Matthew I Peña, Mark Moll, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Expert Opinion on Drug Metabolism & Toxicology|October 28, 2021
Machine learning models in the prediction of drug metabolism: challenges and future perspectivesEleni E Litsa, Payel Das, Lydia E Kavraki
Chemical Science|June 7, 2021
Prediction of drug metabolites using neural machine translationEleni E Litsa, Payel Das, Lydia E Kavraki
Communications Chemistry|June 23, 2023
An end-to-end deep learning framework for translating mass spectra to de-novo moleculesEleni E Litsa, Vijil Chenthamarakshan, Payel Das, et al.
Scientific Reports|April 30, 2025
Targeted molecular generation with latent reinforcement learningRagy Haddad, Eleni E Litsa, Zhen Liu, et al.
Tissue Engineering. Part A|September 17, 2020
Machine Learning-Guided Three-Dimensional Printing of Tissue Engineering ScaffoldsAnja Conev, Eleni E Litsa, Marissa R Perez, et al.
Journal of Chemical Information and Modeling|December 1, 2018
Machine Learning Guided Atom Mapping of Metabolic ReactionsEleni E Litsa, Matthew I Peña, Mark Moll, et al.
Pageof 1