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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.
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.
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.
Shares Thermo Fisher Scientific, Drug discovery roadmap: screening in mice → maps of dependency → designing in silico, AI-driven drug & target discovery, PROTACs & molecular glues (targeted protein degradation) and the tag supporting.
Shares Google (Health, DeepMind, Verily), AI-driven drug & target discovery and the tag supporting.
Shares Drug discovery roadmap: screening in mice → maps of dependency → designing in silico and the tag supporting.
Shares Thermo Fisher Scientific and the tag supporting.
Shares Thermo Fisher Scientific and the tag supporting.
Shares Thermo Fisher Scientific and the tag supporting.
Shares Thermo Fisher Scientific and the tag supporting.
Shares AlphaFold 2: predicting protein structures to near-experimental accuracy, Drug discovery roadmap: screening in mice → maps of dependency → designing in silico, AI-driven drug & target discovery.
Open-source projects that implement or serve this technology, from OnCo's own catalogue: licence and last activity as the repository reported them on the day of the fetch. Listing is not endorsement; check the licence before reuse and the validation before clinical use.
DeepMind's protein structure prediction system, code and weights released; the structures fill the AlphaFold Database.
A trainable, open reproduction of AlphaFold 2 from the AlQuraishi lab, with training data released.
A high-performance molecular dynamics toolkit used for binding free energy and protein simulation in drug discovery.