2 papers
cs.LG2025
MF-LAL: Drug Compound Generation Using Multi-Fidelity Latent Space Active Learning
Peter Eckmann, Dongxia Wu, Germano Heinzelmann +2
Current generative models for drug discovery primarily use molecular docking as an oracle to guide the generation of active compounds. However, such models are often not useful in…
q-bio.BM2025
Structure-Based Experimental Datasets for Benchmarking Protein Simulation Force Fields
Chapin E. Cavender, David A. Case, Julian C. -H. Chen +11
This review article provides an overview of structurally oriented experimental datasets that can be used to benchmark protein force fields, focusing on data generated by nuclear ma…