Blinded evaluation of cathepsin S inhibitors from the D3RGC3 dataset using molecular docking and free energy calculations.

Abstract:

:During the last few years, we have developed a docking protocol involving two steps: (i) the choice of the most appropriate docking software and parameters for the system of interest using structural and functional information available in public databases (PDB, ChEMBL, PubChem Assay, BindingDB, etc.); (ii) the docking of ligand dataset to provide a prediction for the binding modes and ranking of ligands. We applied this protocol to the D3R Grand Challenge 3 dataset containing cathepsin S (CatS) inhibitors. Considering the size and conformational flexibility of ligands, the docking calculations afforded reasonable overall pose predictions, which are however dependent on the specific nature of each ligand. As expected, the correct ranking of docking poses is still challenging. Post-processing of docking poses with molecular dynamics simulations in explicit solvent provided a significantly better prediction, whereas free energy calculations on a subset of compounds brought no significant improvement in the ranking prediction compared with the direct ranking obtained from the scoring function.

journal_name

J Comput Aided Mol Des

authors

Chaput L,Selwa E,Elisée E,Iorga BI

doi

10.1007/s10822-018-0161-7

subject

Has Abstract

pub_date

2019-01-01 00:00:00

pages

93-103

issue

1

eissn

0920-654X

issn

1573-4951

pii

10.1007/s10822-018-0161-7

journal_volume

33

pub_type

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