A Machine Learning Approach for Predicting HIV Reverse Transcriptase Mutation Susceptibility of Biologically Active Compounds - researchr publication

researchr

You are not signed in
Sign in
Sign up

Thomas M. Kaiser, Pieter B. Burger, Christopher J. Butch, Stephen C. Pelly, Dennis Liotta. A Machine Learning Approach for Predicting HIV Reverse Transcriptase Mutation Susceptibility of Biologically Active Compounds. Journal of Chemical Information and Computer Sciences, 58(8):1544-1552, 2018. [doi]

Abstract is missing.

runs on WebDSL