In structure-based drug design, scoring functions are often employed to evaluate protein–ligand interactions. A variety of scoring functions have been developed so far, and thus, some objective benchmarks are desired for assessing their strength and weakness. The comparative assessment of scoring functions (CASF) benchmark developed by us provides an answer to this demand. CASF is designed as a “scoring benchmark”, where the scoring process is decoupled from the docking process to depict the performance of scoring function more precisely. Here, we describe the latest update of this benchmark, i.e., CASF-2016. Each scoring function is still evaluated by four metrics, including “scoring power”, “ranking power”, “docking power”, and “screening...
<p>The 195 structures in PDBBIND Core 2013 database consist of 65 proteins with three ligands each. ...
New empirical scoring functions have been developed to estimate the binding affinity of a given prot...
The protein-ligand scoring function plays an important role in computer-aided drug discovery, which ...
Our comparative assessment of scoring functions (CASF) benchmark is created to provide an objective ...
Scoring functions are often applied in combination with molecular docking methods to predict ligand ...
Rosetta is a computational software suite containing algorithms for a wide variety of macromolecular...
Computer-aided protein–ligand binding predictions are a valuable help in drug discovery. Protein–lig...
We present DrugScore2018, a new version of the knowledge-based scoring function DrugScore, which bui...
<p>Each scoring function was used to measure the energy of many different poses for each protein-lig...
New empirical scoring functions have been developed to estimate the binding affinity of a given prot...
We present DrugScore2018, a new version of the knowledge-based scoring functionDrugScore, which buil...
Computer-aided drug discovery has truly revolutionised the way we think about and how we develop new...
Abstract Scoring functions are essential for modern in silico drug discovery. However, the accurate ...
The prediction of protein–ligand interactions and their corresponding binding free energy is a chall...
A major goal in drug design is the improvement of computational methods for docking and scoring. The...
<p>The 195 structures in PDBBIND Core 2013 database consist of 65 proteins with three ligands each. ...
New empirical scoring functions have been developed to estimate the binding affinity of a given prot...
The protein-ligand scoring function plays an important role in computer-aided drug discovery, which ...
Our comparative assessment of scoring functions (CASF) benchmark is created to provide an objective ...
Scoring functions are often applied in combination with molecular docking methods to predict ligand ...
Rosetta is a computational software suite containing algorithms for a wide variety of macromolecular...
Computer-aided protein–ligand binding predictions are a valuable help in drug discovery. Protein–lig...
We present DrugScore2018, a new version of the knowledge-based scoring function DrugScore, which bui...
<p>Each scoring function was used to measure the energy of many different poses for each protein-lig...
New empirical scoring functions have been developed to estimate the binding affinity of a given prot...
We present DrugScore2018, a new version of the knowledge-based scoring functionDrugScore, which buil...
Computer-aided drug discovery has truly revolutionised the way we think about and how we develop new...
Abstract Scoring functions are essential for modern in silico drug discovery. However, the accurate ...
The prediction of protein–ligand interactions and their corresponding binding free energy is a chall...
A major goal in drug design is the improvement of computational methods for docking and scoring. The...
<p>The 195 structures in PDBBIND Core 2013 database consist of 65 proteins with three ligands each. ...
New empirical scoring functions have been developed to estimate the binding affinity of a given prot...
The protein-ligand scoring function plays an important role in computer-aided drug discovery, which ...