An extensive test of 14 scoring functions using the PDBbind refined set of 800 protein− ligand complexes
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 …
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
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 …
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 …
been calibrated based on experimental structure and affinity data collected from public and …
Comparative assessment of scoring functions on a diverse test set
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 …
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 …
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 …
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 …
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 …
machine-learning-based scoring functions. For example, using a set of simple descriptors …
Statistical potential for modeling and ranking of protein–ligand interactions
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 …
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
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 …
recognize binding modes close to experiment, to predict binding affinities, and to identify 'hot …