Research shared today can help scientists prepare for potential outbreaks. We’ve worked with Google DeepMind, European Bioinformatics Institute | EMBL-EBI, and research partners worldwide to make AI-predicted protein complex structures for more than 2,800 viruses openly available through the AlphaFold Database. These predictions give researchers a starting point for studying viral proteins and identifying potential targets for vaccines and treatments. Read the story: https://lnkd.in/gsuyJNzP
Only when data is used for good and not making dangerous viruses.
Making those structures openly available gives researchers a much better starting point than working from scattered predictions. The next challenge will be connecting the models to lab validation, but the scale of this release is useful already.
What I find most valuable here is the open-access part. Giving researchers a shared starting point for thousands of viral protein complexes could shorten the early stages of outbreak research significantly, especially when time matters most.
Open access turns model output into shared scientific infrastructure. Preserving provenance, confidence scores and revision history will be essential so researchers can see where prediction ends, validation begins and the archive changes over time.
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This is what AI applied to real-world problems should look like — not hype, but genuine acceleration of pandemic preparedness research. Making 2,800+ viral protein structures openly available removes a massive barrier for researchers who'd otherwise spend years on structure prediction alone. Huge contribution to global health
Exciting to see AI being applied in a way that can have such meaningful impact on global health. Making these predictions openly available could significantly accelerate research and collaboration.
Accelerating life sciences through collaborative open data is one of AI's most profound achievements. NVIDIA collaborating with Google DeepMind and EMBL-EBI to release AI-predicted protein complex structures for over 2,600 viruses in the AlphaFold Database provides global researchers with an invaluable head start for pandemic preparedness, vaccine development, and therapeutic innovation. 🧬📈
The 30% that's new to science is the striking number here. And since the pipeline is open, researchers aren't limited to the viruses on the list.
“Starting point” is the important part here. AI can shrink a massive search problem and tell researchers where to look first. That’s incredibly useful. But the lab still gets the final say. Prediction gets you there faster. Validation tells you if you were right.