most citedDe novo design of protein target specific scaffold-based Inhibitors via Reinforcement Learning

7 citations · 7 across the 2 of their papers we have counts for

collaborators

2 papers

q-bio.BM2024

Assessing Reusability of Deep Learning-Based Monotherapy Drug Response Prediction Models Trained with Omics Data

Jamie C. Overbeek, Alexander Partin, Thomas S. Brettin +21

Cancer drug response prediction (DRP) models present a promising approach towards precision oncology, tailoring treatments to individual patient profiles. While deep learning (DL)…

cs.LG2022★ 7 cited

De novo design of protein target specific scaffold-based Inhibitors via Reinforcement Learning

Andrew D. McNaughton, Mridula S. Bontha, Carter R. Knutson +2

Efficient design and discovery of target-driven molecules is a critical step in facilitating lead optimization in drug discovery. Current approaches to develop molecules for a targ…