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How Open Science Can Help Researchers Prepare for the Next Pandemic

NVIDIA Blog · 24 sept. 2026

Anthony Costa reports an effort to make predicted viral protein-complex structures openly available to scientists. NVIDIA is also releasing the workflow used to produce them, while the dataset labels predictions by confidence.

Anthony Costa

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Open release of viral protein complex structures[1]Lire le moment probant
Researchers can use the BioNeMo pipeline for their own targets[2]Lire le moment probant
Protein-complex predictions are labeled by confidence[3]Lire le moment probant

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Paragraphe 2

open science infrastructure

Open release of viral protein complex structures

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To help improve the odds, NVIDIA has joined a coalition of global research organizations, including Google DeepMind and the European Molecular Biology Laboratory’s European Bioinformatics Institute (EMBL-EBI), to release predicted 3D structures for the protein complexes of more than 2,800 viruses — openly available to any scientist, anywhere, through the AlphaFold Database.

Anthony Costa·24 sept. 2026

Cet extrait ne contient pas de contexte supplémentaire. Consultez la conversation originale.

Paragraphe 19

prediction uncertainty

Protein-complex predictions are labeled by confidence

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Predictions in the open dataset are labeled by confidence. The structures show what viral complexes may look like and how individual proteins might interact within a viral proteome.

Anthony Costa·24 sept. 2026

Cet extrait ne contient pas de contexte supplémentaire. Consultez la conversation originale.

Paragraphe 5

developer tooling

Researchers can use the BioNeMo pipeline for their own targets

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NVIDIA is also openly releasing the BioNeMo Structure Prediction Pipeline , the GPU-accelerated workflow used to generate the dataset, so researchers can go from protein sequence to predicted 3D structure for their own targets.

Anthony Costa·24 sept. 2026

Cet extrait ne contient pas de contexte supplémentaire. Consultez la conversation originale.

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