Drug Discovery in Low Data Regimes: Leveraging a Computational Pipeline for the Discovery of Novel SARS-CoV-2 Nsp14-MTase Inhibitors
A. Nigam, M. F. D. Hurley, F. Li, E. Konkolova, M. Klima, J. Trylcova, R. Pollice, S. S. Cınaroglu, R. Levin-Konigsberg, J. Handjaya, M. Schapira, I. Chau, S. Perveen, H.-L. Ng, H. U. Kaniskan, , A. Aspuru-Guzik
This paper introduces a computational pipeline for identifying SARS-CoV-2 nsp14 inhibitors using virtual screening, identifying seven candidates including NSC620333 and SS148, with experimental validation of binding affinity and structural insights.
bioRxiv · Oct 3, 2023 · PreprintBiochemistry