A docking score function for estimating ligand-protein interactions: application to acetylcholinesterase inhibition
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Jianxin Guo1, Margaret M Hurley, Jeffery B Wright
1Molecular Graphics and Modeling Lab, University of Kansas, Lawrence, Kansas 66045, USA.
Abstract:
Acetylcholinesterase (AChE) inhibition is an important research topic because of its wide range of associated health implications. A receptor-specific scoring function was developed herein for predicting binding affinities for human AChE (huAChE) inhibitors. This method entails a statistically trained weighted sum of electrostatic and van der Waals (VDW) interactions between ligands and the receptor residues. Within the 53 ligand training set, a strong correlation was found (R2 = 0.89) between computed and experimental inhibition constants. Leave-one-out cross-validation indicated high predictive power (Q2 = 0.72), and analysis of a separate 16-compound test set also produced very good correlation with experiment (R2 = 0.69). Scoring function analysis has permitted identification and characterization of important ligand-receptor interactions, producing a list of those residues making the most important electrostatic and VDW contributions within the main active site, gorge area, acyl binding pocket, and periferal site. These analyses are consistent with X-ray crystallographic and site-directed mutagenesis studies.
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