NMR Data‐Driven Docking of HDM2‐Inhibitor Complexes. (21st February 2022)

• Record Type: Journal Article
• Authors: Fradera, Xavier; Reutershan, Michael H.; Machacek, Michelle R.; Trotter, B. Wesley; McCoy, Mark A.
• Is Part Of: Chembiochem. Volume 23:Number 6(2022)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2022-02-21
• Subjects: drug design -- HDM2 -- molecular docking -- NMR spectroscopy -- structural biology; Biochemistry -- Periodicals; Molecular biology -- Periodicals; Pharmaceutical chemistry -- Periodicals; 572
• DOI: 10.1002/cbic.202100570
• Languages: English
• ISSNs: 1439-4227

Abstract

Abstract: We present an automated NMR‐guided docking workflow that can be used to generate models of protein‐ligand complexes based on data from NOE NMR experiments. The first step is to generate a number of intermolecular distance constraints from experimental NOE data. Then, the ligand is docked on an ensemble of receptor structures to account for protein flexibility, and multiple poses are generated. Finally, we use the NOE‐based constraints to filter and score docking poses based on the percentage of NOE constraints that are consistent with protein‐ligand interatomic distances. This workflow was successfully used during a lead optimization project to generate models of synthetic protein‐protein interaction (PPI) inhibitors bound to the HDM2 protein. Abstract : HDM2 lead optimization was guided by the rapid generation of protein‐ligand structures using an NMR‐data driven docking protocol. This work underscores an "integrative" approach where strengths from modeling, X‐ray crystallography and NMR spectroscopy can be leveraged to deliver more information on ligand‐protein interactions than is available from any one technique.