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How Open Science Can Help Researchers Prepare for the Next Pandemic

NVIDIA Blogby Anthony Costa ()4 min read2 · 1 read
AI summary · glm-5.3Summaries by Vani AI

NVIDIA, Google DeepMind, and EMBL-EBI released open AlphaFold2-predicted 3D structures for protein complexes of over 2,800 viruses.

NVIDIA joined Google DeepMind, EMBL-EBI, and other research organizations to openly release predicted 3D structures for protein complexes of more than 2,800 viruses via the AlphaFold Database. Structures were inferred with AlphaFold2 scaled using NVIDIA BioNeMo Inference Runtime, and roughly 30% of the protein interactions are new to science. NVIDIA also open-sourced the BioNeMo Structure Prediction Pipeline, a GPU-accelerated sequence-to-structure workflow; the AlphaFold Database now holds over 260 million predictions.

Key facts
  • Open dataset covers protein complexes of 2,800+ viruses via AlphaFold Database
  • Structures predicted with AlphaFold2 scaled on NVIDIA BioNeMo
  • About 30% of documented protein interactions are new to science
  • BioNeMo Structure Prediction Pipeline openly released for researchers
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From the original article

4 min read at blogs.nvidia.com

When COVID-19 emerged, scientists had a crucial advantage: Decades of prior research on coronaviruses meant they understood the virus’ key proteins well enough to design vaccines in record time. The next pandemic may not offer the same head start. To help improve the odds, NVIDIA has joined a coalition of global research organizations, including Google […]

NVIDIA Blog

By Anthony Costa · blogs.nvidia.com

Read the full article at NVIDIA Blog

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