[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"branding":3,"analytics":7,"article-new-ai-model-designs-rna-sequence-and-shape-together":10,"sections":35},{"siteName":4,"siteTagline":5,"publisherName":4,"contactEmail":6},"The Revision","Tech news, decoded.","editor@therevision.news",{"gaMeasurementId":8,"adsenseClientId":9},"G-ZW2MV82GYR","ca-pub-8533917693782264",{"article":11},{"id":12,"slug":13,"title":14,"dek":15,"body_md":16,"tags_json":17,"published_at":18,"created_at":19,"updated_at":20,"status":21,"review_note":22,"review_notes":23,"image_url":22,"persona_id":22,"persona_name":22,"section":24,"tags":25,"sources":30,"feedback":34,"feedback_at":22,"cost_usd":34,"total_tokens":34},11053,"new-ai-model-designs-rna-sequence-and-shape-together","New AI Model Designs RNA Sequence and Shape Together","La-Ribo, a new flow-matching model, designs RNA sequence and 3D structure together and beats prior design methods in tests.","A new generative model called La-Ribo designs an RNA molecule's sequence and its three-dimensional shape at the same time, instead of treating them as separate steps.\n\nResearchers behind La-Ribo use a technique called flow matching - a generative method related to the diffusion models that power image generators - to jointly produce an RNA's nucleotide sequence and its folded structure. The model keeps a simplified backbone scaffold and encodes each nucleotide's identity and local shape as a compact latent representation, then a separate decoder fills in the full atomic detail. To train it, the team built a dataset of 168,561 RNA structures, combining real experimental data with predictions from three existing folding models, including 10,631 structures generated specifically for this work. In tests, La-Ribo scored higher than prior design methods on designability - whether a generated sequence actually folds into its intended shape - across different computational budgets and two separate folding-verification models.\n\nRNA-based drugs and lab tools depend on getting sequence and fold right together, and most existing design software still treats those as two separate problems to solve in sequence. La-Ribo's trained model can also be reused to redesign a sequence for an already-fixed shape without retraining, which points toward cheaper, faster iteration for RNA engineering.\n\nIt's a computational result, not a lab-validated drug - the real test is whether any of these designable RNAs fold the way the model predicts once someone actually synthesizes them.","[\"rna design\",\"generative ai\",\"flow matching\",\"bioinformatics\"]","2026-10-09T04:00:00.000Z","2026-10-10T03:56:15.351Z","2026-10-10T03:56:21.191Z","published",null,[],"ai",[26,27,28,29],"rna design","generative ai","flow matching","bioinformatics",[31],{"name":32,"url":33},"arXiv cs.AI","https:\u002F\u002Farxiv.org\u002Fabs\u002F2610.12236",0,{"sections":36},[37,40,44,49,54,58,62,67,72,77,81,86,91,96],{"name":38,"slug":24,"count":39,"latest_published_at":18},"AI",6783,{"name":41,"slug":42,"count":43,"latest_published_at":18},"Security","security",932,{"name":45,"slug":46,"count":47,"latest_published_at":48},"Policy","policy",486,"2026-10-08T22:40:11.000Z",{"name":50,"slug":51,"count":52,"latest_published_at":53},"Deals","deals",474,"2026-10-08T22:00:00.000Z",{"name":55,"slug":56,"count":57,"latest_published_at":18},"Hardware","hardware",232,{"name":59,"slug":60,"count":61,"latest_published_at":18},"Science","science",193,{"name":63,"slug":64,"count":65,"latest_published_at":66},"Consumer Tech","consumer-tech",181,"2026-10-08T23:26:35.000Z",{"name":68,"slug":69,"count":70,"latest_published_at":71},"Startups","startups",117,"2026-10-08T16:45:00.000Z",{"name":73,"slug":74,"count":75,"latest_published_at":76},"Software","software",114,"2026-10-08T17:57:01.000Z",{"name":78,"slug":79,"count":80,"latest_published_at":18},"Dev Tools","dev-tools",106,{"name":82,"slug":83,"count":84,"latest_published_at":85},"General","general",66,"2026-10-09T04:46:11.000Z",{"name":87,"slug":88,"count":89,"latest_published_at":90},"Gaming","gaming",58,"2026-10-08T20:08:45.000Z",{"name":92,"slug":93,"count":94,"latest_published_at":95},"Reviews","reviews",34,"2026-10-08T14:00:22.000Z",{"name":97,"slug":98,"count":99,"latest_published_at":100},"How-To","how-to",8,"2026-10-05T09:00:00.000Z"]