Ensemble learning from ensemble docking: revisiting the optimum ensemble size problem
Abstract Despite considerable advances obtained by applying machine learning approaches in protein–ligand affinity predictions, the incorporation of receptor flexibility has remained an important bottleneck. While ensemble docking has been used widely as a solution to this problem, the optimum choic...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2022-01-01
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Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-021-04448-5 |