Loading
Google DeepMind (and Google Research)
Google DeepMind built AlphaFold, AlphaMissense, AlphaGenome and Med-Gemini, the reference models for structure, variants, and medical multimodal reasoning.
Overview
AlphaFold 2 (2020) and AlphaFold 3 (2024) redefined structure prediction; Isomorphic Labs commercialises drug discovery on top. AlphaMissense (2023) scored every possible human missense variant; AlphaGenome (preview June 2025, Nature January 2026) predicts regulatory effects across 1 Mb of sequence. Google Research's Med-Gemini and C2S-Scale extend into clinical and single-cell domains.
Connected
12Similar pages
- CompanyXaira Therapeutics
Shares Drug discovery roadmap: screening in mice → maps of dependency → designing in silico, AI in oncology roadmap: pattern readers → foundation models → agents in the workflow and the tag ai.
- CompanyMicrosoft (Research and Health AI)
Shares AI in oncology roadmap: pattern readers → foundation models → agents in the workflow and the tag ai.
- InstitutionYale School of Medicine / Yale Cancer Center
Shares Cell2Sentence / C2S-Scale (Yale, Google), Virtual cell roadmap: from bulk omics to a predictive model of a cancer cell and the tag ai.
- CompanyVevo Therapeutics
Shares Virtual cell roadmap: from bulk omics to a predictive model of a cancer cell, Drug discovery roadmap: screening in mice → maps of dependency → designing in silico and the tag ai.
- TechnologyChemistry42 and Pharma.AI (Insilico)
Shares Drug discovery roadmap: screening in mice → maps of dependency → designing in silico, AI in oncology roadmap: pattern readers → foundation models → agents in the workflow and the tag ai.
- InstitutionArc Institute
Shares Virtual cell roadmap: from bulk omics to a predictive model of a cancer cell, Drug discovery roadmap: screening in mice → maps of dependency → designing in silico and the tag ai.
- CompanyChan Zuckerberg Initiative (Biohub)
Shares Virtual cell roadmap: from bulk omics to a predictive model of a cancer cell and the tag ai.
- CompanyChai Discovery
Shares Drug discovery roadmap: screening in mice → maps of dependency → designing in silico and the tag ai.
fronts
technologies
companies
roadmaps
Open-source projects
All open source in oncology →Open-source projects that this organisation maintains, 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.
DeepMind's model of proteins with ligands, nucleic acids and modifications; code is released for non-commercial use and weights by request.
DeepMind's model predicting regulatory effects of DNA variants; API access is free for non-commercial use.
DeepMind's model and released predictions of pathogenicity for every possible human missense variant, used to triage variants of uncertain significance.
Sources
Every source this page cites, grouped by who published it. Grouping is read from the web address, not assigned by hand.
deepmind.google · 1
A source that has moved or gone is reported by the weekly link check. /audit/