Orestis Bastas - JoVE Visualize

Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Policies

Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Policies

Filters

Orestis Bastas

Showing results (1-10 of 3) with videos related to

Pageof 1

Sort By:

Journal of Chemical Information and Modeling|July 22, 2024

HydraScreen: A Generalizable Structure-Based Deep Learning Approach to Drug DiscoveryAlvaro Prat, Hisham Abdel Aty, Orestis Bastas, et al.

Journal of Cheminformatics|July 21, 2025

Benchmarking ML in ADMET predictions: the practical impact of feature representations in ligand-based modelsGintautas Kamuntavičius, Tanya Paquet, Orestis Bastas, et al.

Journal of Cheminformatics|November 15, 2024

Accelerated hit identification with target evaluation, deep learning and automated labs: prospective validation in IRAK1Gintautas Kamuntavičius, Alvaro Prat, Tanya Paquet, et al.

Pageof 1

Search research articles

Showing results (1-10 of 3) with videos related to

Sort By:

Pageof 1

Journal of Chemical Information and Modeling|July 22, 2024

HydraScreen: A Generalizable Structure-Based Deep Learning Approach to Drug DiscoveryAlvaro Prat, Hisham Abdel Aty, Orestis Bastas, et al.

Journal of Cheminformatics|July 21, 2025

Benchmarking ML in ADMET predictions: the practical impact of feature representations in ligand-based modelsGintautas Kamuntavičius, Tanya Paquet, Orestis Bastas, et al.

Journal of Cheminformatics|November 15, 2024

Accelerated hit identification with target evaluation, deep learning and automated labs: prospective validation in IRAK1Gintautas Kamuntavičius, Alvaro Prat, Tanya Paquet, et al.

Pageof 1