{"id":94065,"date":"2019-07-24T01:24:42","date_gmt":"2019-07-24T08:24:42","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2019\/07\/ai-protein-folding-algorithms-solve-structures-faster-than-ever"},"modified":"2019-07-24T01:24:42","modified_gmt":"2019-07-24T08:24:42","slug":"ai-protein-folding-algorithms-solve-structures-faster-than-ever","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2019\/07\/ai-protein-folding-algorithms-solve-structures-faster-than-ever","title":{"rendered":"AI protein-folding algorithms solve structures faster than ever"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/ai-protein-folding-algorithms-solve-structures-faster-than-ever2.jpg\"><\/a><\/p>\n<p>More broadly, biologists are wondering how else deep learning \u2014 the AI technique used by both approaches \u2014 might be applied to the prediction of protein arrangements, which ultimately dictate a protein\u2019s function. These approaches are cheaper and faster than existing lab techniques such as X-ray crystallography, and the knowledge could help researchers to better understand diseases and design drugs. \u201cThere\u2019s a lot of excitement about where things might go now,\u201d says John Moult, a biologist at the University of Maryland in College Park and the founder of the biennial competition, called Critical Assessment of protein Structure Prediction (CASP), where teams are challenged to design computer programs that predict protein structures from sequences.<\/p>\n<hr>\n<p>Deep learning makes its mark on protein-structure prediction.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>More broadly, biologists are wondering how else deep learning \u2014 the AI technique used by both approaches \u2014 might be applied to the prediction of protein arrangements, which ultimately dictate a protein\u2019s function. These approaches are cheaper and faster than existing lab techniques such as X-ray crystallography, and the knowledge could help researchers to better [\u2026]<\/p>\n","protected":false},"author":417,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11,41,6],"tags":[],"class_list":["post-94065","post","type-post","status-publish","format-standard","hentry","category-biotech-medical","category-information-science","category-robotics-ai"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/94065","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\/417"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=94065"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/94065\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=94065"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=94065"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=94065"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}