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Structural biology infrastructure (cryo-EM, synchrotrons, AlphaFold)

Structural biology infrastructure is the microscopes, X-ray sources, and prediction models that show what a cancer protein looks like so chemists can design a drug to fit it.

Cryo-electron microscopy (Thermo Fisher Krios G4, Glacios; JEOL CRYO ARM), synchrotron beamlines (Diamond, ESRF, APS, SPring-8), and AI structure prediction (AlphaFold 2/3, RoseTTAFold, ESMFold, Boltz) underpin structure-based design of KRAS inhibitors, molecular glues, and PROTACs. National facilities and CROs (Creoptix, Proteros, Charles River) provide access; the shift to cryo-EM has resolved previously intractable membrane proteins and large complexes.

Generic schematic · not to scale · placeholder for the drug discovery front
Guide RNA library · Knockout → dependency

How it works

Electron or X-ray scattering from ordered molecules yields atomic-resolution maps; deep learning trained on the Protein Data Bank predicts structures and complexes from sequence.

Strengths
  • Atomic detail for rational design
  • Prediction now near-experimental accuracy for many proteins
Limitations
  • Instruments cost $5-10M plus facility
  • Dynamic and disordered regions poorly captured
  • Predicted structures still need validation for drug design

Key papers

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Latest papers

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Latest papers · live from Europe PMC
Open in Europe PMC

Query for this technology: (TITLE:"Structural biology infrastructure" OR ABSTRACT:"Structural biology infrastructure" OR TITLE:"cryo-EM, synchrotrons, AlphaFold" OR ABSTRACT:"cryo-EM, synchrotrons, AlphaFold") AND (cancer OR tumor OR tumour OR oncology OR carcinoma OR lymphoma OR leukemia OR leukaemia OR myeloma OR sarcoma OR melanoma OR glioma). Results are unfiltered search hits about Structural biology infrastructure (cryo-EM, synchrotrons, AlphaFold), not a curated reading list.

Connected

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