{"id":160855,"date":"2023-03-23T14:29:32","date_gmt":"2023-03-23T19:29:32","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2023\/03\/scientists-at-deepmind-and-meta-press-fusion-of-ai-biology"},"modified":"2023-03-23T14:29:32","modified_gmt":"2023-03-23T19:29:32","slug":"scientists-at-deepmind-and-meta-press-fusion-of-ai-biology","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2023\/03\/scientists-at-deepmind-and-meta-press-fusion-of-ai-biology","title":{"rendered":"Scientists at DeepMind and Meta Press Fusion of AI, Biology"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/scientists-at-deepmind-and-meta-press-fusion-of-ai-biology.jpg\"><\/a><\/p>\n<p>\u201cAlphaFold was a huge advance in protein structure prediction. We were inspired by the advances they made, which led to a whole new wave of using deep learning,\u201d said Professor <a href=\"https:\/\/www.wsj.com\/articles\/biologists-say-deep-learning-is-revolutionizing-pace-of-innovation-eeb79c1b?mod=article_inline\" target=\"_blank\" class=\"\" >David Baker, a biochemist and computational biologist at the University of Washington<\/a>.<\/p>\n<p>\u201cThe advantage of ESMFold is that it is very fast, and so can be used to predict the structures of a larger set of proteins than AlphaFold, albeit with slightly lower accuracy, similar to that of RoseTTAFold,\u201d Dr. Baker said, referring to a tool that <a href=\"https:\/\/www.ipd.uw.edu\/2021\/07\/rosettafold-accurate-protein-structure-prediction-accessible-to-all\/\" target=\"_blank\" class=\"\" >emerged from his lab in 2021.<\/a><\/p>\n<p>DeepMind open-sourced the code for AlphaFold2, making it freely available to the community. Nearly all proteins known to science\u2014about 214 million\u2014can be looked up in the public <a href=\"https:\/\/alphafold.ebi.ac.uk\/\" target=\"_blank\" class=\"\" >AlphaFold Protein Structure Database<\/a>. Meta\u2019s <a href=\"https:\/\/esmatlas.com\/\" target=\"_blank\" class=\"\" rel=\"noreferrer noopener\" >ESM Metagenomic Atlas<\/a> includes 617 million proteins.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u201cAlphaFold was a huge advance in protein structure prediction. We were inspired by the advances they made, which led to a whole new wave of using deep learning,\u201d said Professor David Baker, a biochemist and computational biologist at the University of Washington. \u201cThe advantage of ESMFold is that it is very fast, and so can [\u2026]<\/p>\n","protected":false},"author":661,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3,6],"tags":[],"class_list":["post-160855","post","type-post","status-publish","format-standard","hentry","category-biological","category-robotics-ai"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/160855","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\/661"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=160855"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/160855\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=160855"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=160855"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=160855"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}