The
prediction of protein–ligand interactions and their
corresponding binding free energy is a challenging task in structure-based
drug design and related applications. Docking and scoring is broadly
used to propose the binding mode and underlying interactions as well
as to provide a measure for ligand affinity or differentiate between
active and inactive ligands. Various studies have revealed that most
docking software packages reliably predict the binding mode, although
scoring remains a challenge. Here, a diverse benchmark data set of
99 matched molecular pairs (3D-MMPs) with experimentally determined
X-ray structures and corresponding binding affinities is introduced.
This data set was used to study the predictive power of 13 commonly
used scoring functions to demonstrate the applicability of the 3D-MMP
data set as a valuable tool for benchmarking scoring functions.
A fast and precise affinity capillary electrophoresis (ACE) method has been developed and applied for the investigation of the binding interactions between P-selectin and heparinoids as potential P-selectin inhibitors in the presence and absence of calcium ions. Furthermore, model proteins and vitronectin were used to appraise the binding behavior of P-selectin. The normalized mobility ratios (∆R/R ), which provided information about the binding strength and the overall charge of the protein-ligand complex, were used to evaluate the binding affinities. It was found that P-selectin interacts more strongly with heparinoids in the presence of calcium ions. P-selectin was affected by heparinoids at the concentration of 3 mg/L. In addition, the results of the ACE experiments showed that among other investigated proteins, albumins and vitronectin exhibited strong interactions with heparinoids. Especially with P-selectin and vitronectin, the interaction may additionally induce conformational changes. Subsequently, computational models were applied to interpret the ACE experiments. Docking experiments explained that the binding of heparinoids on P-selectin is promoted by calcium ions. These docking models proved to be particularly well suited to investigate the interaction of charged compounds, and are therefore complementary to ACE experiments.
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