Ligand retargeting by binding site analogy

TitleLigand retargeting by binding site analogy
Publication TypeJournal Article
Year of Publication2019
AuthorsWiedmer L., Schärer C., Spiliotopoulos D., Hürzeler M., Śledź P., Caflisch A.
JournalEuropean Journal of Medicinal Chemistry
Date Published2019 Apr 25
Type of ArticleResearch Article
KeywordsAspartic Acid Proteases, Binding Sites, computational drug discovery, continuum electrostatics, Crystallography, Drug Design, MTH1

The DNA-repair enzyme MutT homolog 1 (MTH1) is a potential target for a broad range of tumors. Its substrate binding site features a non-catalytical pair of aspartic acids which resembles the catalytic dyad of aspartic proteases. We hypothesized that inhibitors of the latter might be re-targeted for MTH1 despite the two enzyme classes having different substrates and catalyze different reactions. We selected from the crystal structures of holo aspartic proteases a library of nearly 350 inhibitors for in silico screening. Three fragment hits were identified by docking and scoring according to a force field-based energy with continuum dielectric solvation. These fragments showed good ligand efficiency in a colorimetric assay (MW<300 Da and IC<50μM). Molecular dynamics simulations were carried out for determining the most favorable interaction patterns. On the basis of the simulation results we evaluated in vitro seven commercially available compounds, two of which showed submicromolar potency for MTH1. To obtain definitive evidence of the predicted binding modes we solved the crystal structures of five of the 10 inhibitors predicted in silico. The final step of hit optimization was guided by protein crystallography and involved the synthesis of a single compound, the lead 11, which shows nanomolar affinity for MTH1 in two orthogonal binding assays, and selectivity higher than 2000-fold against its original target (BACE1). The high rate of fragment-hit identification and the fast optimization suggest that ligand retargeting by binding site analogy is an efficient strategy for drug design.



Alternate JournalEur J Med Chem
PubMed ID31077996
Highlight Role: 
Drug Design