Chemical screening by time-resolved X-ray scattering to discover allosteric probes.
Chris A BroseyTodd M LinkRunze ShenDavide MoianiKathryn BurnettGreg L HuraDarin E JonesJohn A TainerPublished in: Nature chemical biology (2024)
Drug discovery relies on efficient identification of small-molecule leads and their interactions with macromolecular targets. However, understanding how chemotypes impact mechanistically important conformational states often remains secondary among high-throughput discovery methods. Here, we present a conformational discovery pipeline integrating time-resolved, high-throughput small-angle X-ray scattering (TR-HT-SAXS) and classic fragment screening applied to allosteric states of the mitochondrial import oxidoreductase apoptosis-inducing factor (AIF). By monitoring oxidized and X-ray-reduced AIF states, TR-HT-SAXS leverages structure and kinetics to generate a multidimensional screening dataset that identifies fragment chemotypes allosterically stimulating AIF dimerization. Fragment-induced dimerization rates, quantified with time-resolved SAXS similarity analysis (k VR ), capture structure-activity relationships (SAR) across the top-ranked 4-aminoquinoline chemotype. Crystallized AIF-aminoquinoline complexes validate TR-SAXS-guided SAR, supporting this conformational chemotype for optimization. AIF-aminoquinoline structures and mutational analysis reveal active site F482 as an underappreciated allosteric stabilizer of AIF dimerization. This conformational discovery pipeline illustrates TR-HT-SAXS as an effective technology for targeting chemical leads to important macromolecular states.
Keyphrases
- small molecule
- high throughput
- high resolution
- molecular dynamics
- molecular dynamics simulations
- protein protein
- single molecule
- drug discovery
- single cell
- oxidative stress
- dual energy
- genome wide
- endoplasmic reticulum stress
- magnetic resonance imaging
- cell death
- cancer therapy
- computed tomography
- signaling pathway
- high glucose
- cell cycle arrest
- endothelial cells
- monte carlo
- virtual reality