Simulations and active learning enable efficient identification of an experimentally-validated broad coronavirus inhibitor

Spremljeno u:

Bibliografski detalji
Izdano u:	Nature Communications vol. 16, no. 1 (2025), p. 6949-6961
Glavni autor:	Elez, Katarina
Daljnji autori:	Hempel, Tim, Shrimp, Jonathan H., Moor, Nicole, Raich, Lluís, Rocha, Cheila, Winter, Robin, Le, Tuan, Pöhlmann, Stefan, Hoffmann, Markus, Hall, Matthew D., Noé, Frank
Izdano:	Nature Publishing Group
Teme:	Coronaviruses Simulation Datasets Learning Inhibitors Computational efficiency Effectiveness Computing costs Drug development Severe acute respiratory syndrome coronavirus 2 Computer applications Drug screening Viral diseases Drugs Libraries Molecular dynamics Candidates COVID-19 Proteins Therapeutic applications Environmental
Online pristup:	Citation/Abstract Full Text Full Text - PDF
Oznake:	Dodaj oznaku Bez oznaka, Budi prvi tko označuje ovaj zapis!

Budi prvi tko komentira!