Publication

Article Metrics

Citations


Online attention

qFit-ligand reveals widespread conformational heterogeneity of drug-like molecules in X-ray electron density maps

DOI: 10.1021/acs.jmedchem.8b01292 DOI Help

Authors: Gydo C. P. Van Zundert (Schrödinger) , Brandi M. Hudson (UCSF) , Saulo H. P. De Oliveira (SLAC National Accelerator Laboratory) , Daniel Keedy (UCSF) , Rasmus Fonseca (Stanford University) , Amelie Heliou (CNRS, Université Paris-Saclay) , Pooja Suresh (UCSF) , Kenneth Borrelli (Schrödinger) , Tyler Day (Schrödinger) , James Fraser (UCSF) , Henry Van Den Bedem (UCSF; SLAC National Accelerator Laboratory)
Co-authored by industrial partner: No

Type: Journal Paper
Journal: Journal Of Medicinal Chemistry

State: Published (Approved)
Published: December 2018

Abstract: Proteins and ligands sample a conformational ensemble that governs molecular recognition, activity, and dissociation. In structure-based drug design, access to this conformational ensemble is critical to understand the balance between entropy and enthalpy in lead optimization. However, ligand conformational heterogeneity is currently severely underreported in crystal structures in the Protein Data Bank, owing in part to a lack of automated and unbiased procedures to model an ensemble of protein–ligand states into X-ray data. Here, we designed a computational method, qFit-ligand, to automatically resolve conformationally averaged ligand heterogeneity in crystal structures, and applied it to a large set of protein receptor–ligand complexes. In an analysis of the cancer related BRD4 domain, we found that up to 29% of protein crystal structures bound with drug-like molecules present evidence of unmodeled, averaged, relatively isoenergetic conformations in ligand–receptor interactions. In many retrospective cases, these alternate conformations were adventitiously exploited to guide compound design, resulting in improved potency or selectivity. Combining qFit-ligand with high-throughput screening or multitemperature crystallography could therefore augment the structure-based drug design toolbox.

Subject Areas: Medicine, Chemistry


Instruments: I03-Macromolecular Crystallography , I04-Macromolecular Crystallography , I24-Microfocus Macromolecular Crystallography