{"id":221697,"date":"2025-09-10T23:08:28","date_gmt":"2025-09-11T04:08:28","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2025\/09\/how-scientists-got-a-glimpse-of-the-inner-workings-of-protein-language-models"},"modified":"2025-09-10T23:08:28","modified_gmt":"2025-09-11T04:08:28","slug":"how-scientists-got-a-glimpse-of-the-inner-workings-of-protein-language-models","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2025\/09\/how-scientists-got-a-glimpse-of-the-inner-workings-of-protein-language-models","title":{"rendered":"How scientists got a glimpse of the inner workings of protein language models"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/how-scientists-got-a-glimpse-of-the-inner-workings-of-protein-language-models2.jpg\"><\/a><\/p>\n<p>Now, a team of researchers based at the Massachusetts Institute of Technology (the United States) has tried to shed light on the inner workings of the language models that predict the structure and function of proteins by using an innovative technique. They have described their findings in the study, \u2018Sparse autoencoders uncover biologically interpretable features in protein language model representations\u2019, which was published in the journal <em>Proceedings of the National Academy of Sciences<\/em> last month. The team included Onkar Gujral, Mihir Bafna, Eric Alm, and Bonnie Berger.<\/p>\n<p>Story continues below this ad.<\/p>\n<p>Berger, the senior author of the study, told <em><a rel=\"noamphtml\" class=\"\" href=\"https:\/\/indianexpress.com\" class=\"\">The Indian Express<\/a><\/em> over email, \u201cThis is the first work that allows us to look inside the \u2018black box\u2019 of protein language models to gain insights into why they function as they do.\u201d<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Now, a team of researchers based at the Massachusetts Institute of Technology (the United States) has tried to shed light on the inner workings of the language models that predict the structure and function of proteins by using an innovative technique. They have described their findings in the study, \u2018Sparse autoencoders uncover biologically interpretable features [\u2026]<\/p>\n","protected":false},"author":599,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1522],"tags":[],"class_list":["post-221697","post","type-post","status-publish","format-standard","hentry","category-innovation"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/221697","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\/599"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=221697"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/221697\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=221697"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=221697"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=221697"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}