Is It Reliable to Use Common Molecular Docking Methods for Comparing the Binding Affinities of Enantiomer Pairs for Their Protein Target?
Molecular docking is a computational chemistry method which has become essential for the rational drug design process. In this context, it has had great impact as a successful tool for the study of ligand-receptor interaction modes, and for the exploration of large chemical datasets through virtual screening experiments. Despite their unquestionable merits, docking methods are not reliable for predicting binding energies due to the simple scoring functions they use. However, comparisons between two or three complexes using the predicted binding energies as a criterion are commonly found in the literature. In the present work we tested how wise is it to trust the docking energies when two complexes between a target protein and enantiomer pairs are compared. For this purpose, a ligand library composed by 141 enantiomeric pairs was used, including compounds with biological activities reported against seven protein targets. Docking results using the software Glide (considering extra precision (XP), standard precision (SP), and high-throughput virtual screening (HTVS) modes) and AutoDock Vina were compared with the reported biological activities using a classification scheme. Our test failed for all modes and targets, demonstrating that an accurate prediction when binding energies of enantiomers are compared using docking may be due to chance. We also compared pairs of compounds with different molecular weights and found the same results.
Centro de Bioinformática y Simulación Molecular (CBSM), Universidad de Talca. 2 Norte 685, Casilla 721, Talca, Chile. damach.david@gmail.com.
David
D
Ramírez
Centro de Bioinformática y Simulación Molecular (CBSM), Universidad de Talca. 2 Norte 685, Casilla 721, Talca, Chile. jcaballero@utalca.cl.
Julio
J
Caballero
D001665:Binding Sites; D019295:Computational Biology; D008024:Ligands; D008958:Models, Molecular; D062105:Molecular Docking Simulation / Q000379:methods / Q000592:standards*; D011485:Protein Binding; D011506:Proteins / Q000737:chemistry; D054852:Small Molecule Libraries; D012984:Software
D008024:Ligands; D011506:Proteins; D054852:Small Molecule Libraries
binding affinities; docking accuracy; docking scoring; modeling of enantiomers; molecular docking; prediction capability