AlphaFold
AssessTools
An AI system for predicting protein structure from amino acid sequences.
Why it's here
Placed in Assess: 3 article(s) of evidence from 3 source(s), led by research-stage coverage, with 1 in the last 30 days. Confidence 53%.
Evidence (3)
- 8NVIDIA GenAI·9/24/2026researchNVIDIA and partners release viral protein structure dataset
NVIDIA has joined Google DeepMind, EMBL-EBI, and other research groups to publish predicted 3D structures for protein complexes from more than 2,800 viruses in the AlphaFold Database. The dataset and the open BioNeMo Structure Prediction Pipeline aim to help scientists study viral proteins faster and better prepare for future pandemics.
- 7Ars Technica AI·7/24/2026researchAlphaFold helps redesign gene-editing proteins to cut off-target effects
Researchers reported in Nature that they modified AlphaFold-based protein-folding software to identify regions in gene-editing proteins linked to off-target edits. They then altered those regions to reduce unintended DNA changes and improve safety. The work targets a key barrier to broader use of gene-editing therapies.
- 8Google DeepMind·7/22/2026fundingGoogle commits $40M in AI credits to support the Genesis Mission
Google DeepMind said it will contribute $40 million in AI tokens and cloud credits to support the White House-backed Genesis Mission, which aims to accelerate American scientific discovery with AI. The company is also expanding access to its science-focused tools, including AlphaEvolve, AlphaFold 3, AlphaGenome, WeatherNext, AlphaEarth Foundations, and Gemini for Government, across DOE laboratories and research teams.