{"id":188934,"date":"2024-05-08T11:31:12","date_gmt":"2024-05-08T16:31:12","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2024\/05\/new-ai-tools-predict-how-lifes-building-blocks-assemble"},"modified":"2024-05-08T11:31:12","modified_gmt":"2024-05-08T16:31:12","slug":"new-ai-tools-predict-how-lifes-building-blocks-assemble","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2024\/05\/new-ai-tools-predict-how-lifes-building-blocks-assemble","title":{"rendered":"New AI Tools Predict How Life\u2019s Building Blocks Assemble"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/new-ai-tools-predict-how-lifes-building-blocks-assemble2.jpg\"><\/a><\/p>\n<p>Proteins are the molecular machines that sustain every cell and organism, and knowing what they look like will be critical to untangling how they function normally and malfunction in disease. Now researchers have taken a huge stride toward that goal with the development of new machine learning algorithms that can predict the folded shapes of not only proteins but other biomolecules with unprecedented accuracy.<\/p>\n<p>In a paper published today in <em>Nature<\/em>, Google DeepMind and its spinoff company Isomorphic Labs <a href=\"https:\/\/www.nature.com\/articles\/s41586-024-07487-w\">announced the latest iteration<\/a> of their AlphaFold program, AlphaFold3, which can predict the structures of proteins, DNA, RNA, ligands and other biomolecules, either alone or bound together in different embraces. The findings follow the tail of <a href=\"https:\/\/doi.org\/10.1126\/science.adl2528\">a similar update<\/a> to another deep learning structure-prediction algorithm, called RoseTTAFold All-Atom, which was published in March in <em>Science<\/em>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Proteins are the molecular machines that sustain every cell and organism, and knowing what they look like will be critical to untangling how they function normally and malfunction in disease. Now researchers have taken a huge stride toward that goal with the development of new machine learning algorithms that can predict the folded shapes of [\u2026]<\/p>\n","protected":false},"author":367,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11,41,4,6],"tags":[],"class_list":["post-188934","post","type-post","status-publish","format-standard","hentry","category-biotech-medical","category-information-science","category-nanotechnology","category-robotics-ai"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/188934","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/users\/367"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=188934"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/188934\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=188934"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=188934"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=188934"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}