Docking for fragment inhibitors of AmpC β-lactamase
- 5 May 2009
- journal article
- research article
- Published by Proceedings of the National Academy of Sciences in Proceedings of the National Academy of Sciences
- Vol. 106 (18), 7455-7460
- https://doi.org/10.1073/pnas.0813029106
Abstract
Fragment screens for new ligands have had wide success, notwithstanding their constraint to libraries of 1,000–10,000 molecules. Larger libraries would be addressable were molecular docking reliable for fragment screens, but this has not been widely accepted. To investigate docking9s ability to prioritize fragments, a library of >137,000 such molecules were docked against the structure of β-lactamase. Forty-eight fragments highly ranked by docking were acquired and tested; 23 had Ki values ranging from 0.7 to 9.2 mM. X-ray crystal structures of the enzyme-bound complexes were determined for 8 of the fragments. For 4, the correspondence between the predicted and experimental structures was high (RMSD between 1.2 and 1.4 Å), whereas for another 2, the fidelity was lower but retained most key interactions (RMSD 2.4–2.6 Å). Two of the 8 fragments adopted very different poses in the active site owing to enzyme conformational changes. The 48% hit rate of the fragment docking compares very favorably with “lead-like” docking and high-throughput screening against the same enzyme. To understand this, we investigated the occurrence of the fragment scaffolds among larger, lead-like molecules. Approximately 1% of commercially available fragments contain these inhibitors whereas only 10−7% of lead-like molecules do. This suggests that many more chemotypes and combinations of chemotypes are present among fragments than are available among lead-like molecules, contributing to the higher hit rates. The ability of docking to prioritize these fragments suggests that the technique can be used to exploit the better chemotype coverage that exists at the fragment level.Keywords
This publication has 29 references indexed in Scilit:
- Scaffold Topologies. 2. Analysis of Chemical DatabasesJournal of Chemical Information and Modeling, 2008
- Comprehensive Mechanistic Analysis of Hits from High-Throughput and Docking Screens against β-LactamaseJournal of Medicinal Chemistry, 2008
- Identification of Nonpeptide CCR5 Receptor Agonists by Structure-based Virtual ScreeningJournal of Medicinal Chemistry, 2007
- Virtual Exploration of the Chemical Universe up to 11 Atoms of C, N, O, F: Assembly of 26.4 Million Structures (110.9 Million Stereoisomers) and Analysis for New Ring Systems, Stereochemistry, Physicochemical Properties, Compound Classes, and Drug DiscoveryJournal of Chemical Information and Modeling, 2007
- Identification of a lead small-molecule inhibitor of the Aurora kinases using a structure-assisted, fragment-based approachMolecular Cancer Therapeutics, 2006
- Discovery of Cell-Permeable Non-Peptide Inhibitors of β-Secretase by High-Throughput Docking and Continuum Electrostatics CalculationsJournal of Medicinal Chemistry, 2005
- Virtual Screening for Submicromolar Leads of tRNA-guanine Transglycosylase Based on a New Unexpected Binding Mode Detected by Crystal Structure AnalysisJournal of Medicinal Chemistry, 2003
- Molecular Complexity and Its Impact on the Probability of Finding Leads for Drug DiscoveryJournal of Chemical Information and Computer Sciences, 2001
- Locating and characterizing binding sites on proteinsNature Biotechnology, 1996
- An Experimental Approach to Mapping the Binding Surfaces of Crystalline ProteinsThe Journal of Physical Chemistry, 1996