Discovery of a First-in-Class Small-Molecule Ligand for WDR91 Using DNA-Encoded Chemical Library Selection Followed by Machine Learning.
Shabbir AhmadJin XuJianwen A FengAshley HutchinsonHong ZengPegah GhiabiAiping DongPaolo A CentrellaMatthew A ClarkMarie-Aude GuiéJohn P GuilingerAnthony D KeefeYing ZhangThomas CerrutiJohn W CuozzoMoritz von RechenbergAlbina BolotokovaYanjun LiPeter LoppnauAlma SeitovaYen-Yen LiVijayaratnam SanthakumarPeter J BrownSuzanne AcklooLevon HalabelianPublished in: Journal of medicinal chemistry (2023)
WD40 repeat-containing protein 91 (WDR91) regulates early-to-late endosome conversion and plays vital roles in endosome fusion, recycling, and transport. WDR91 was recently identified as a potential host factor for viral infection. We employed DNA-encoded chemical library (DEL) selection against the WDR domain of WDR91, followed by machine learning to predict ligands from the synthetically accessible Enamine REAL database. Screening of predicted compounds identified a WDR91 selective compound 1 , with a K D of 6 ± 2 μM by surface plasmon resonance. The co-crystal structure confirmed the binding of 1 to the WDR91 side pocket, in proximity to cysteine 487, which led to the discovery of covalent analogues 18 and 19 . The covalent adduct formation for 18 and 19 was confirmed by intact mass liquid chromatography-mass spectrometry. The discovery of 1 , 18 , and 19 , accompanying structure-activity relationship, and the co-crystal structures provide valuable insights for designing potent and selective chemical tools against WDR91 to evaluate its therapeutic potential.
Keyphrases
- small molecule
- machine learning
- mass spectrometry
- liquid chromatography
- crystal structure
- protein protein
- structure activity relationship
- high throughput
- circulating tumor
- single molecule
- artificial intelligence
- high resolution
- big data
- high resolution mass spectrometry
- climate change
- living cells
- gas chromatography
- amino acid
- molecular docking
- dna binding