LAUSR

Druggability Assessment in TRAPP Using Machine Learning Approaches

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1 Published in 2020 at "Journal of chemical information and modeling"

DOI: 10.1021/acs.jcim.9b01185

Abstract: Accurate protein druggability predictions are important for the selection of drug targets in the early stages of drug discovery. Due to the flexible nature of proteins, the druggability of a binding pocket may vary due… read more here.

Keywords: trapp; binding pocket; trapp using; druggability ... See more keywords