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AlphaFold

Model ● Covered in 10 stories + Follow

AlphaFold is an AI system for predicting protein structures that has been widely adopted in AI-for-science workflows. Recent coverage highlights its use in research aimed at understanding and redesigning proteins, including mapping protein structures tied to heart disease and using AlphaFold to identify off-target regions in gene-editing proteins to improve specificity. The reporting also situates AlphaFold within broader efforts to connect protein prediction with downstream biology work, including tool-and-reasoning approaches and biosecurity initiatives that govern access to models like AlphaFold.

Updated 17 September 2026

Specifications

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Latest developments

AI for science needs reasoning, not just data MIT Technology Review · 1 month ago · 32 Team uses AlphaFold AI to redesign gene-editing proteins to make them safer Ars Technica · 1 month ago · 44
Vertu wants executives to pay $6,880 for an AI agent — here’s how it actually performs TechCrunch · 1 month ago · 34
Our approach to bioresilience Google DeepMind · 2 months ago · 30
How a Google DeepMind Spin-off Hunts Hidden Drug Targets IEEE Spectrum · 3 months ago · 26
Announcing our partnership with the Republic of Korea Google DeepMind · 4 months ago · 33
Engineering more resilient crops for a warming climate Google DeepMind · 9 months ago · 50
AlphaFold: Five years of impact Google DeepMind · 9 months ago · 27

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2026

2025

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