Roy Tal

According to our database, Roy Tal authored at least 6 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Fold-CP: A Context Parallelism Framework for Biomolecular Modeling.

Dejun Lin, Simon K. S. Chu, Vishanth Iyer, Youhan Lee, John St. John, Kevin Boyd, Brian Roland, Xiaowei Ren, Guoqing Zhou, Zhonglin Cao, Polina Binder, Yuliya Zhautouskaya, Jakub Zakrzewski, Maximilian Stadler, Kyle Gion, Yuxing Peng, Xi Chen, Tianjing Zhang, Philipp Junk, Michelle Dimon, Pawel Gniewek, Fabian Ortega, McKinley Polen, Ivan Grubisic, Ali Bashir, Graham Holt, Danny Kovtun, Matthias Grass, Luca Naef, Rui Wang, Jian Peng, Anthony B. Costa, Saee Paliwal, Eddie Calleja, Timur Rvachov, Neha Tadimeti, Roy Tal, Emine Küçükbenli

CoRR, March, 2026

2025

Benchmarking ML in ADMET predictions: the practical impact of feature representations in ligand-based models.

Gintautas Kamuntavicius, Tanya Paquet, Orestis Bastas, Dainius Salkauskas, Alvaro Prat, Hisham Abdel-Aty, Aurimas Pabrinkis, Povilas Norvaisas, Roy Tal

J. Cheminformatics, December, 2025

Pearl: A Foundation Model for Placing Every Atom in the Right Location.

Alejandro Dobles, Nina Jovic, Kenneth Leidal, Pranav Murugan, David C. Williams, Drausin Wulsin, Nate Gruver, Christina X. Ji, Korrawat Pruegsanusak, Gianluca Scarpellini, Ansh Sharma, Wojciech Swiderski, Andrea Bootsma, Richard Strong Bowen, Charlotte Chen, Jamin Chen, Marc André Dämgen, Benjamin DiFrancesco, J. D. Fishman, Alla Ivanova, Zach Kagin, David Li-Bland, Zuli Liu, Igor Morozov, Jeffrey Ouyang-Zhang, Frank C. Pickard IV, Kushal S. Shah, Ben Shor, Gabriel Monteiro da Silva, Roy Tal, Maxx H. Tessmer, Carl Tilbury, Cyr Vetcher, Daniel Zeng, Maruan Al-Shedivat, Aleksandra Faust, Evan N. Feinberg, Michael V. LeVine, Matteus Pan

CoRR, October, 2025

2024

Accelerated hit identification with target evaluation, deep learning and automated labs: prospective validation in IRAK1.

Gintautas Kamuntavicius, Alvaro Prat, Tanya Paquet, Orestis Bastas, Hisham Abdel-Aty, Qing Sun, Carsten B. Andersen, John Harman, Marc E. Siladi, Daniel R. Rines, Sarah J. L. Flatters, Roy Tal, Povilas Norvaisas

J. Cheminformatics, December, 2024

HydraScreen: A Generalizable Structure-Based Deep Learning Approach to Drug Discovery.

Alvaro Prat, Hisham Abdel-Aty, Orestis Bastas, Gintautas Kamuntavicius, Tanya Paquet, Povilas Norvaisas, Piero Gasparotto, Roy Tal

J. Chem. Inf. Model., 2024

2023

HydraScreen: A Generalizable Structure-Based Deep Learning Approach to Drug Discovery.

Alvaro Prat, Hisham Abdel-Aty, Gintautas Kamuntavicius, Tanya Paquet, Povilas Norvaisas, Piero Gasparotto, Roy Tal

CoRR, 2023