{"667487":{"#nid":"667487","#data":{"type":"external_news","title":"Deep Learning Drives Insights into Protein-Protein Interactions","body":[{"value":"\u003Cp\u003ELife depends on molecular machines made of proteins that interact with each other to form functional complexes. Researchers need accurate descriptions of protein-protein interactions to understand molecular biosystems, but obtaining such descriptions is very challenging, especially for theoretical approaches. Generalizing AlphaFold 2, a powerful deep learning algorithm for predicting protein structures from sequence, researchers at Georgia Institute of Technology and Oak Ridge National Laboratory proposed a computational approach, AF2Complex, to not only predict the atomic structural models of interacting proteins, but also to predict whether multiple proteins interact, even if they experience transient interactions that are difficult to capture experimentally. The Georgia Tech \u003Ca href=\u0022https:\/\/biosciences.gatech.edu\u0022\u003ESchool of Biological Sciences\u003C\/a\u003E researchers are \u003Ca href=\u0022https:\/\/biosciences.gatech.edu\/people\/mu_gao\u0022\u003EMu Gao\u003C\/a\u003E, senior research scientist, and \u003Ca href=\u0022https:\/\/biosciences.gatech.edu\/people\/jeffrey-skolnick\u0022\u003EJeffrey Skolnick\u003C\/a\u003E,\u0026nbsp;Regents\u0027 Professor; Mary and Maisie Gibson Chair \u0026amp; GRA Eminent Scholar in Computational Systems Biology. (Their study is funded in part by the \u003Ca href=\u0022https:\/\/www.energy.gov\u0022\u003EU.S. Dept. of Energy\u003C\/a\u003E and the \u003Ca href=\u0022https:\/\/www.nih.gov\u0022\u003ENational Institutes of Health\u003C\/a\u003E.)\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003ELife depends on molecular machines made of proteins that interact with each other to form functional complexes. Researchers need accurate descriptions of protein-protein interactions to understand molecular biosystems, but obtaining such descriptions is very challenging, especially for theoretical approaches. Generalizing AlphaFold 2, a powerful deep learning algorithm for predicting protein structures from sequence, researchers at Georgia Institute of Technology and Oak Ridge National Laboratory proposed a computational approach, AF2Complex, to not only predict the atomic structural models of interacting proteins, but also to predict whether multiple proteins interact, even if they experience transient interactions that are difficult to capture experimentally. The Georgia Tech \u003Ca href=\u0022https:\/\/biosciences.gatech.edu\u0022\u003ESchool of Biological Sciences\u003C\/a\u003E researchers are \u003Ca href=\u0022https:\/\/biosciences.gatech.edu\/people\/mu_gao\u0022\u003EMu Gao\u003C\/a\u003E, senior research scientist, and \u003Ca href=\u0022https:\/\/biosciences.gatech.edu\/people\/jeffrey-skolnick\u0022\u003EJeffrey Skolnick\u003C\/a\u003E,\u0026nbsp;Regents\u0027 Professor; Mary and Maisie Gibson Chair \u0026amp; GRA Eminent Scholar in Computational Systems Biology. (Their study is funded in part by the \u003Ca href=\u0022https:\/\/www.energy.gov\u0022\u003EU.S. Dept. of Energy\u003C\/a\u003E and the \u003Ca href=\u0022https:\/\/www.nih.gov\u0022\u003ENational Institutes of Health\u003C\/a\u003E.)\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":"","uid":"34434","created_gmt":"2023-04-24 13:55:13","changed_gmt":"2023-04-24 13:55:13","author":"Renay San Miguel","boilerplate_text":"","field_publication":"","publication":"U.S. Department of Energy","field_article_url":"","publication_url":"https:\/\/www.energy.gov\/science\/ber\/articles\/deep-learning-drives-insights-protein-protein-interactions","dateline":{"date":"2023-04-17T00:00:00-04:00","iso_date":"2023-04-17T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"1278","name":"College of Sciences"},{"id":"1275","name":"School of Biological Sciences"}],"categories":[{"id":"146","name":"Life Sciences and Biology"}],"keywords":[{"id":"4896","name":"College of Sciences"},{"id":"166882","name":"School of Biological Sciences"},{"id":"20381","name":"Mu Gao"},{"id":"11937","name":"Jeffrey Skolnick"},{"id":"11383","name":"proteins"},{"id":"14825","name":"protein folding"},{"id":"191814","name":"AlphaFold2"},{"id":"190336","name":"AF2Complex"},{"id":"109581","name":"deep learning"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}}}