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From AlphaFold to MMseqs2-GPU: How AI is Accelerating Protein Science
Manage episode 505404670 series 1413935
Listen as two leading researchers at the cutting edge of computational biology explore breakthrough GPU accelerations that are changing how we understand life's molecular machinery.
Chris Dallago, Research Lead at NVIDIA and Visiting Professor at Duke University, and Martin Steinegger, Associate Professor at Seoul National University and co-author of the Nobel Prize-winning AlphaFold paper, join the podcast to discuss homology retrieval, protein design, and how MMseqs2-GPU inverted the traditional 80/20 compute bottleneck in protein structure prediction, enabling faster drug discovery and biological research.
Learn more at ai-podcast.nvidia.com.
273 episodes
Manage episode 505404670 series 1413935
Listen as two leading researchers at the cutting edge of computational biology explore breakthrough GPU accelerations that are changing how we understand life's molecular machinery.
Chris Dallago, Research Lead at NVIDIA and Visiting Professor at Duke University, and Martin Steinegger, Associate Professor at Seoul National University and co-author of the Nobel Prize-winning AlphaFold paper, join the podcast to discuss homology retrieval, protein design, and how MMseqs2-GPU inverted the traditional 80/20 compute bottleneck in protein structure prediction, enabling faster drug discovery and biological research.
Learn more at ai-podcast.nvidia.com.
273 episodes
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