{"id":3095,"date":"2024-01-18T18:44:52","date_gmt":"2024-01-18T09:44:52","guid":{"rendered":"https:\/\/misterx95.myds.me\/wordpress\/?p=3095"},"modified":"2024-01-18T18:44:53","modified_gmt":"2024-01-18T09:44:53","slug":"journal-club-2023-01-20","status":"publish","type":"post","link":"https:\/\/misterx95.myds.me\/wordpress\/?p=3095","title":{"rendered":"Journal Club-2023.01.20"},"content":{"rendered":"\n<h2>Interpretable bilinear attention network with domain adaptation improves drug\u2013target prediction<\/h2>\n\n\n\n<p><a href=\"https:\/\/www.nature.com\/articles\/s42256-022-00605-1#auth-Peizhen-Bai-Aff1\">Peizhen Bai<\/a>,\u00a0<a href=\"https:\/\/www.nature.com\/articles\/s42256-022-00605-1#auth-Filip-Miljkovi_-Aff2\">Filip Miljkovi\u0107<\/a>,\u00a0<a href=\"https:\/\/www.nature.com\/articles\/s42256-022-00605-1#auth-Bino-John-Aff3\">Bino John<\/a>\u00a0&amp;\u00a0<a href=\"https:\/\/www.nature.com\/articles\/s42256-022-00605-1#auth-Haiping-Lu-Aff1\">Haiping Lu<\/a><\/p>\n\n\n\n<h2 id=\"Abs1\">Abstract<\/h2>\n\n\n\n<p>Predicting drug\u2013target interaction is key for drug discovery. Recent deep learning-based methods show promising performance, but two challenges remain: how to explicitly model and learn local interactions between drugs and targets for better prediction and interpretation and how to optimize generalization performance of predictions on novel drug\u2013target pairs. Here, we present DrugBAN, a deep bilinear attention network (BAN) framework with domain adaptation to explicitly learn pairwise local interactions between drugs and targets, and adapt in response to out-of-distribution data. DrugBAN works on drug molecular graphs and target protein sequences to perform prediction, with conditional domain adversarial learning to align learned interaction representations across different distributions for better generalization on novel drug\u2013target pairs. Experiments on three benchmark datasets under both in-domain and cross-domain settings show that DrugBAN achieves the best overall performance against five state-of-the-art baseline models. Moreover, visualizing the learned bilinear attention map provides interpretable insights from prediction results.<\/p>\n\n\n\n<div class=\"wp-block-file\"><object class=\"wp-block-file__embed\" data=\"https:\/\/misterx95.myds.me\/wordpress\/wp-content\/uploads\/2024\/01\/2023_Interpretable-bilinear-attention-network-with-domain-adaptation-improves-drug\u2013target-prediction-1.pdf\" type=\"application\/pdf\" style=\"width:100%;height:600px\" aria-label=\"Embed of 2023_Interpretable-bilinear-attention-network-with-domain-adaptation-improves-drug\u2013target-prediction-1.\"><\/object><a id=\"wp-block-file--media-cc7afb80-a223-4d1b-90b7-08d464ffdc17\" href=\"https:\/\/misterx95.myds.me\/wordpress\/wp-content\/uploads\/2024\/01\/2023_Interpretable-bilinear-attention-network-with-domain-adaptation-improves-drug\u2013target-prediction-1.pdf\">2023_Interpretable-bilinear-attention-network-with-domain-adaptation-improves-drug\u2013target-prediction-1<\/a><a href=\"https:\/\/misterx95.myds.me\/wordpress\/wp-content\/uploads\/2024\/01\/2023_Interpretable-bilinear-attention-network-with-domain-adaptation-improves-drug\u2013target-prediction-1.pdf\" class=\"wp-block-file__button wp-element-button\" download aria-describedby=\"wp-block-file--media-cc7afb80-a223-4d1b-90b7-08d464ffdc17\">Download<\/a><\/div>\n\n\n\n<div class=\"wp-block-file\"><object class=\"wp-block-file__embed\" data=\"https:\/\/misterx95.myds.me\/wordpress\/wp-content\/uploads\/2024\/01\/Supplementary-Data-1.pdf\" type=\"application\/pdf\" style=\"width:100%;height:600px\" aria-label=\"Embed of Supplementary-Data-1.\"><\/object><a id=\"wp-block-file--media-6ae2f8a2-0282-4f82-97db-d1914f0e23e9\" href=\"https:\/\/misterx95.myds.me\/wordpress\/wp-content\/uploads\/2024\/01\/Supplementary-Data-1.pdf\">Supplementary-Data-1<\/a><a href=\"https:\/\/misterx95.myds.me\/wordpress\/wp-content\/uploads\/2024\/01\/Supplementary-Data-1.pdf\" class=\"wp-block-file__button wp-element-button\" download aria-describedby=\"wp-block-file--media-6ae2f8a2-0282-4f82-97db-d1914f0e23e9\">Download<\/a><\/div>\n","protected":false},"excerpt":{"rendered":"<p>Interpretable bilinear attention network with domain adaptation improves drug\u2013target prediction Peizhen Bai,\u00a0Filip Miljkovi\u0107,\u00a0Bino John\u00a0&amp;\u00a0Haiping Lu Abstract Predicting drug\u2013target interaction is key for drug discovery. Recent deep learning-based methods show promising performance, but two challenges remain: how to explicitly model and learn local interactions between drugs and targets for better prediction and interpretation and how to [&hellip;]<\/p>\n","protected":false},"author":14,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}}},"categories":[1],"tags":[],"_links":{"self":[{"href":"https:\/\/misterx95.myds.me\/wordpress\/index.php?rest_route=\/wp\/v2\/posts\/3095"}],"collection":[{"href":"https:\/\/misterx95.myds.me\/wordpress\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/misterx95.myds.me\/wordpress\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/misterx95.myds.me\/wordpress\/index.php?rest_route=\/wp\/v2\/users\/14"}],"replies":[{"embeddable":true,"href":"https:\/\/misterx95.myds.me\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=3095"}],"version-history":[{"count":1,"href":"https:\/\/misterx95.myds.me\/wordpress\/index.php?rest_route=\/wp\/v2\/posts\/3095\/revisions"}],"predecessor-version":[{"id":3098,"href":"https:\/\/misterx95.myds.me\/wordpress\/index.php?rest_route=\/wp\/v2\/posts\/3095\/revisions\/3098"}],"wp:attachment":[{"href":"https:\/\/misterx95.myds.me\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=3095"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/misterx95.myds.me\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=3095"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/misterx95.myds.me\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=3095"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}