{"version":1,"type":"story","url":"https://digestai.news/story/gen-compas-breaking-time-scales-with-generative-sampling","json":"https://digestai.news/story/gen-compas-breaking-time-scales-with-generative-sampling.json","markdown":"https://digestai.news/story/gen-compas-breaking-time-scales-with-generative-sampling.md","slug":"gen-compas-breaking-time-scales-with-generative-sampling","headline":"Gen-COMPAS: Breaking Time Scales with Generative Sampling","summary":"Molecular transitions, including protein folding, are notoriously difficult to simulate due to their rarity and the computational demands of enhanced-sampling methods. A new framework called Gen-COMPAS has been introduced, which uses a denoising diffusion probabilistic model to reconstruct transition pathways without predefined collective variables. This approach allows for the identification of transition states and the generation of ensembles at nanosecond-to-submicrosecond scales, significantly reducing the computational cost compared to conventional methods. Applied to a range of systems, from a miniprotein to a pentameric ion channel, Gen-COMPAS has successfully recovered committors, transition states, and free-energy landscapes, providing a computationally tractable route to understanding biomolecular systems that have eluded conventional simulation techniques. This breakthrough could pave the way for more efficient and comprehensive studies of complex biological processes.","keyPoints":["Gen-COMPAS uses a denoising diffusion model to reconstruct transition pathways.","It identifies transition states without predefined collective variables.","Applicable to a range of molecular systems, including a pentameric ion channel."],"whyItMatters":null,"category":{"slug":"research","name":"Research","url":"https://digestai.news/category/research"},"entities":{"companies":[],"models":[],"people":[]},"firstPublishedAt":"2026-09-09T00:00:00Z","updatedAt":"2026-09-09T00:00:00Z","sourceCount":1,"hasPrimarySource":true,"sources":[{"outlet":"Nature Machine Learning","title":"Breaking timescales with generative sampling of conformational transitions","url":"https://nature.com/articles/s41586-026-11025-1","publishedAt":"2026-09-09T00:00:00Z","type":"primary","primary":true,"lead":true}],"sourceNotes":null,"discussions":[],"thread":null,"cite":{"text":"Digest AI, \"Gen-COMPAS: Breaking Time Scales with Generative Sampling\", 9 September 2026, https://digestai.news/story/gen-compas-breaking-time-scales-with-generative-sampling","publisher":"Digest AI","title":"Gen-COMPAS: Breaking Time Scales with Generative Sampling","datePublished":"2026-09-09T00:00:00Z","url":"https://digestai.news/story/gen-compas-breaking-time-scales-with-generative-sampling"},"generatedBy":"Written by Digest AI's editorial model from the linked sources; the sources are the record.","license":"Headlines, digests and key points are written by Digest AI and may be quoted with a link to the story page. Linked articles belong to their publishers. Terms: https://digestai.news/terms#reuse"}