… compared, themes identified, and gaps noted, and suggestions recommended … prediction
results of known scoring functions allowing a fair comparison of the model with existing scoring …

… The authors attributed the success of NNScore to its integration strategy in feature extraction…
), the energy difference between those orbitals (E GAP ), electronegativity (χ), and so on. The …

… The success of supervised machine learning and deep … In this way, protein-ligand interactions
are encoded implicitly … The authors highlight a significant performance gap between in-…

… a considerable gap between the number of individual protein … This addition made a drastic
increase in the success rate of … the scoring phase precisely determine the quality of predictions…

… The ability to accurately predict protein-ligand interactions … The success of these models is
typically measured in dataset … This gap gets smaller with aofb, but still exists. Strangely, the …

… redocking and cross-docking success rates, indicating that it … and distance gap between
shells (14 shells and distance gap of … He is working on protein-ligand interaction prediction and …

… used to characterize the protein–ligand complex in an ML-… , RF-score, with the application of
RF to predict protein–ligand binding … We calculated the MM-GBSA residue-ligand interaction …

… structures predicted by AlphaFold2, the overall top 1 success … began to directly predict the
RMSD of docking poses (such … [38]), or use scores from other mathematical spaces (such as …

… in the docking success when applying interface predictions to the scoring of the docking
poses. … A large performance gap can be observed with different contact prediction methods. …

… based [5] PLI predictions, have been developed, with limited success. Often, these methods
… of docking scores obtained from each docking method. For each target, the docking scores …