Motivation Machine-learning scoring functions (SFs) have been found to outperform
standard SFs for binding affinity prediction of protein–ligand complexes. A plethora of …

抄録< jats: title> Abstract</jats: title>< jats: sec>< jats: title> Motivation</jats: title>< jats: p>
Machine-learning scoring functions (SFs) have been found to outperform standard SFs for …

Motivation Machine-learning scoring functions (SFs) have been found to outperform
standard SFs for binding affinity prediction of protein–ligand complexes. A plethora of …

Motivation Machine-learning scoring functions (SFs) have been found to outperform
standard SFs for binding affinity prediction of protein-ligand complexes. A plethora of reports …

Motivation Machine-learning scoring functions (SFs) have been found to outperform
standard SFs for binding affinity prediction of protein–ligand complexes. A plethora of …

Results Herein, we introduce Extended Connectivity Interaction Features (ECIF) to describe
protein-ligand complexes and build machine-learning SFs with improved predictions of …