Title
Assessing protein–ligand binding modes with computational tools: the case of PDE4B
Abstract
In a first step in the discovery of novel potent inhibitor structures for the PDE4B family with limited side effects, we present a protocol to rank newly designed molecules through the estimation of their IC[Formula: see text] values. Our protocol is based on reproducing the linear relationship between the logarithm of experimental IC[Formula: see text] values [[Formula: see text](IC[Formula: see text])] and their calculated binding free energies ([Formula: see text]). From 13 known PDE4B inhibitors, we show here that (1) binding free energies obtained after a docking process by AutoDock are not accurate enough to reproduce this linear relationship; (2) MM-GB/SA post-processing of molecular dynamics (MD) trajectories of the top ranked AutoDock pose improves the linear relationship; (3) by taking into account all representative structures obtained by AutoDock and by averaging MM-GB/SA computations on a series of 40 independent MD trajectories, a linear relationship between [Formula: see text](IC[Formula: see text]) and the lowest [Formula: see text] is achieved with [Formula: see text].
Year
DOI
Venue
2017
https://doi.org/10.1007/s10822-017-0024-7
Journal of Computer-Aided Molecular Design
Keywords
Field
DocType
PDE4B,IC,50,Molecular docking,Molecular dynamics,MM-GB/SA
Protein ligand,Computational chemistry,Chemistry,Molecular dynamics,Bioinformatics,Logarithm,AutoDock
Journal
Volume
Issue
ISSN
31
6
0920-654X
Citations 
PageRank 
References 
0
0.34
15
Authors
4
Name
Order
Citations
PageRank
Gülşah Çifci100.34
Viktorya Aviyente2113.82
E. Demet Akten300.34
Gerald Monard441.65