2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.LG2022★ 2 cited
MLT-LE: predicting drug-target binding affinity with multi-task residual neural networks
Elizaveta Vinogradova, Karina Pats, Ferdinand Molnár +1
Assessing drug-target affinity is a critical step in the drug discovery and development process, but to obtain such data experimentally is both time consuming and expensive. For th…
cs.LG2022
A biologically-inspired multi-modal evaluation of molecular generative machine learning
Elizaveta Vinogradova, Abay Artykbayev, Alisher Amanatay +10
While generative models have recently become ubiquitous in many scientific areas, less attention has been paid to their evaluation. For molecular generative models, the state-of-th…