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Harvard Medical School's Walter Lab runs 1.7 million protein interaction predictions using NVIDIA DGX Cloud

The Walter Lab at Harvard Medical School, with access to NVIDIA DGX Cloud through the National Science Foundation's NAIRR pilot program, completed nearly 1.7 million protein-protein interaction predictions on ColabFold in three months using 32-node DGX clusters with 256 A100 GPUs, a task that previously would have taken years. The team curated 40,000 high-confidence protein interactions among 300 human genome maintenance proteins using two custom ML tools (KIRC and SPOC), publishing results via the Predictomes website.

Harvard Medical School (The Walter Lab)· United StatesNVIDIA DGX Cloud · NVIDIA A100 GPUs · AlphaFold +1