Random-forest model for drug–target interaction prediction via Kullbeck–Leibler divergence
Abstract Virtual screening has significantly improved the success rate of early stage drug discovery. Recent virtual screening methods have improved owing to advances in machine learning and chemical information. Among these advances, the creative extraction of drug features is important for predict...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2022-10-01
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Series: | Journal of Cheminformatics |
Subjects: | |
Online Access: | https://doi.org/10.1186/s13321-022-00644-1 |