An extensive test of 14 scoring functions using the PDBbind refined set of 800 protein− ligand complexes

R Wang, Y Lu, X Fang, S Wang - Journal of chemical information …, 2004 - ACS Publications
Fourteen popular scoring functions, ie, X-Score, DrugScore, five scoring functions in the
Sybyl software (D-Score, PMF-Score, G-Score, ChemScore, and F-Score), four scoring …

Comparative assessment of scoring functions on an updated benchmark: 2. Evaluation methods and general results

Y Li, L Han, Z Liu, R Wang - Journal of chemical information and …, 2014 - ACS Publications
Our comparative assessment of scoring functions (CASF) benchmark is created to provide
an objective evaluation of current scoring functions. The key idea of CASF is to compare the …

SFCscore: scoring functions for affinity prediction of protein–ligand complexes

CA Sotriffer, P Sanschagrin, H Matter… - Proteins: Structure …, 2008 - Wiley Online Library
Empirical scoring functions to calculate binding affinities of protein–ligand complexes have
been calibrated based on experimental structure and affinity data collected from public and …

Comparative assessment of scoring functions on a diverse test set

T Cheng, X Li, Y Li, Z Liu, R Wang - Journal of chemical …, 2009 - ACS Publications
Scoring functions are widely applied to the evaluation of protein− ligand binding in structure-
based drug design. We have conducted a comparative assessment of 16 popular scoring …

Comparative assessment of scoring functions on an updated benchmark: 1. Compilation of the test set

Y Li, Z Liu, J Li, L Han, J Liu, Z Zhao… - Journal of chemical …, 2014 - ACS Publications
Scoring functions are often applied in combination with molecular docking methods to
predict ligand binding poses and ligand binding affinities or to identify active compounds …

ID-Score: a new empirical scoring function based on a comprehensive set of descriptors related to protein–ligand interactions

GB Li, LL Yang, WJ Wang, LL Li… - Journal of chemical …, 2013 - ACS Publications
Scoring functions have been widely used to assess protein–ligand binding affinity in
structure-based drug discovery. However, currently commonly used scoring functions face …

Forging the basis for developing protein–ligand interaction scoring functions

Z Liu, M Su, L Han, J Liu, Q Yang, Y Li… - Accounts of chemical …, 2017 - ACS Publications
Conspectus In structure-based drug design, scoring functions are widely used for fast
evaluation of protein–ligand interactions. They are often applied in combination with …

Structural and sequence similarity makes a significant impact on machine-learning-based scoring functions for protein–ligand interactions

Y Li, J Yang - Journal of chemical information and modeling, 2017 - ACS Publications
The prediction of protein–ligand binding affinity has recently been improved remarkably by
machine-learning-based scoring functions. For example, using a set of simple descriptors …

Statistical potential for modeling and ranking of protein–ligand interactions

H Fan, D Schneidman-Duhovny, JJ Irwin… - Journal of chemical …, 2011 - ACS Publications
Applications in structural biology and medicinal chemistry require protein–ligand scoring
functions for two distinct tasks:(i) ranking different poses of a small molecule in a protein …

Predicting binding modes, binding affinities andhot spots' for protein-ligand complexes using a knowledge-based scoring function

H Gohlke, M Hendlich, G Klebe - Perspectives in Drug Discovery and …, 2000 - Springer
The development of a new knowledge-based scoring function (DrugScore) and its power to
recognize binding modes close to experiment, to predict binding affinities, and to identify 'hot …