{"id":42197,"date":"2023-04-30T20:13:03","date_gmt":"2023-04-30T12:13:03","guid":{"rendered":"https:\/\/swarma.org\/?p=42197"},"modified":"2023-04-30T20:13:03","modified_gmt":"2023-04-30T12:13:03","slug":"nat-commun-%e9%80%9f%e9%80%92%ef%bc%9a%e6%97%a0%e5%8f%82%e6%95%b0%e5%87%a0%e4%bd%95%e6%b7%b1%e5%ba%a6%e5%ad%a6%e4%b9%a0%e7%b2%be%e5%87%86%e9%a2%84%e6%b5%8b%e8%9b%8b%e7%99%bd%e8%b4%a8%e7%bb%93","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=42197","title":{"rendered":"Nat. Commun. \u901f\u9012\uff1a\u65e0\u53c2\u6570\u51e0\u4f55\u6df1\u5ea6\u5b66\u4e60\u7cbe\u51c6\u9884\u6d4b\u86cb\u767d\u8d28\u7ed3\u5408\u754c\u9762"},"content":{"rendered":"
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\u5173\u952e\u8bcd\uff1a\u86cb\u767d\u8d28\u7ed3\u5408\u754c\u9762\u9884\u6d4b\uff0c\u65e0\u53c2\u6570\u6df1\u5ea6\u5b66\u4e60\uff0c\u9ad8\u901a\u91cf\u9884\u6d4b\uff0ctransformer \u67b6\u6784<\/span><\/strong><\/strong><\/strong><\/span><\/strong><\/span><\/strong><\/span><\/strong><\/span><\/strong><\/span><\/strong><\/span><\/strong><\/span><\/strong><\/span><\/strong><\/strong><\/strong><\/span><\/p>\n<\/section>\n

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\u8bba\u6587\u9898\u76ee\uff1a<\/span>PeSTo: parameter-free geometric deep learning for accurate prediction of protein binding interfaces<\/span><\/section>\n
\u8bba\u6587\u6765\u6e90\uff1aNature Communications<\/em><\/span><\/section>\n
\u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/www.nature.com\/articles\/s41467-023-37701-8<\/span><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/blockquote>\n

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\u86cb\u767d\u8d28\u662f\u751f\u547d\u7684\u57fa\u672c\u5206\u5b50\u7ec4\u6210\uff0c\u5176\u76f8\u4e92\u4f5c\u7528\u9a71\u52a8\u7740\u5927\u90e8\u5206\u7684\u7ec6\u80de\u673a\u5236\uff0c\u652f\u6301\u7740\u5927\u591a\u6570\u751f\u7269\u5b66\u529f\u80fd\u3002\u63a2\u7d22\u751f\u7269\u4e4b\u8c1c\u3001\u89e3\u7801\u75be\u75c5\u90fd\u79bb\u4e0d\u5f00\u86cb\u767d\u8d28\u3002\u7136\u800c\uff0c\u9884\u6d4b\u86cb\u767d\u8d28\u7684\u7ed3\u5408\u754c\u9762<\/span>\uff08binding interface\uff09<\/span>\u4ecd\u7136\u662f\u4e00\u4e2a\u6311\u6218\u3002\u73b0\u4ee3\u9884\u6d4b\u86cb\u767d\u8d28\u76f8\u4e92\u4f5c\u7528\u7684\u65b9\u6cd5\u8981\u4e48\u662f\u7528\u7279\u5b9a\u7684\u76f8\u4e92\u4f5c\u7528\u6b8b\u57fa\/\u539f\u5b50\u5bf9\uff0c\u5f3a\u70c8\u4f9d\u8d56\u4e8e\u6b8b\u57fa-\u6b8b\u57fa\u534f\u540c\u6f14\u5316\u6a21\u5f0f\u7684\u5206\u6790\uff0c\u56e0\u6b64\u4ec5\u9650\u4e8e\u86cb\u767d\u8d28-\u86cb\u767d\u8d28\u76f8\u4e92\u4f5c\u7528\uff1b\u8981\u4e48\u662f\u4ec5\u9884\u6d4b\u86cb\u767d\u8d28\u7684\u54ea\u4e9b\u533a\u57df\u6613\u4e8e\u76f8\u4e92\u4f5c\u7528\uff0c\u5c06\u86cb\u767d\u8d28\u7ec4\u89c4\u6a21\u4e0a\u7684\u9ad8\u901a\u91cf\u5e94\u7528\u590d\u6742\u5316\uff0c\u975e\u5e38\u8017\u65f6\u3002\u6b64\u5916\uff0c\u5b83\u4eec\u8fd8\u9700\u8981\u53c2\u6570\u5316\uff0c\u5e76\u4e14\u5bf93D\u7ed3\u6784\u6216\u6a21\u578b\u7684\u7ec6\u8282\u548c\u8bef\u5dee\u975e\u5e38\u654f\u611f\u3002<\/span><\/section>\n

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\u6700\u8fd1\u53d1\u8868\u5728 Nature Communications<\/em> \u7684\u8fd9\u7bc7\u6587\u7ae0\u57fa\u4e8e transformer \u5f00\u53d1\u4e86\u4e00\u4e2a\u86cb\u767d\u8d28\u7ed3\u6784\u8f6c\u6362\u5668<\/span>\uff08the Protein Structure Transformer\uff0cPeSTo\uff09<\/span>\u6a21\u578b\uff0c\u53ef\u4ee5\u9ad8\u7f6e\u4fe1\u5ea6\u5730\u9884\u6d4b\u548c\u533a\u5206\u6838\u9178\u3001\u8102\u8d28\u3001\u79bb\u5b50\u548c\u5c0f\u5206\u5b50\u7684\u754c\u9762\u3002\u6b64\u6a21\u578b\u8ba1\u7b97\u6210\u672c\u4f4e\u4e14\u65e0\u9700\u53c2\u6570\uff0c\u4f5c\u8005\u4e0d\u4ec5\u63d0\u4f9b\u4e86\u72ec\u7acb\u4ee3\u7801[https:\/\/github.com\/LBM-EPFL\/PeSTo]\u8fd8\u63d0\u4f9b\u4e86\u7f51\u9875[https:\/\/pesto.epfl.ch\/]\u4f9b\u5927\u5bb6\u4f7f\u7528\u3002<\/span><\/section>\n

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\u56fe1. PeSTo\u65b9\u6cd5\u6982\u8ff0\u3002<\/span><\/p>\n


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\u56fe2. \u7528PeSTo\u9884\u6d4b\u4e00\u822c\u86cb\u767d\u8d28\u7ed3\u5408\u754c\u9762\u3002<\/span><\/p>\n


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\u56fe3. \u57fa\u4e8ePeSTo\u7684\u4eba\u7c7b\u86cb\u767d\u7ec4\u5206\u6790<\/span><\/p>\n


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AI+Science \u8bfb\u4e66\u4f1a\u542f\u52a8<\/strong><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


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\u8be6\u60c5\u8bf7\u89c1\uff1a<\/span><\/section>\n
\u4eba\u5de5\u667a\u80fd\u548c\u79d1\u5b66\u53d1\u73b0\u76f8\u4e92\u8d4b\u80fd\u7684\u65b0\u8303\u5f0f\uff1aAI+Science \u8bfb\u4e66\u4f1a\u542f\u52a8<\/a><\/span><\/section>\n

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\u63a8\u8350\u9605\u8bfb<\/span><\/strong><\/strong><\/p>\n

1. <\/strong>\u5df4\u62c9\u5df4\u897f\u65b0\u4f5c\uff1aAI-Bind \u52a9\u529b\u86cb\u767d\u8d28-\u914d\u4f53\u7ed3\u5408\u9884\u6d4b<\/a><\/strong><\/span><\/strong><\/strong><\/section>\n
2.<\/strong> Science\u524d\u6cbf\uff1a\u5927\u8bed\u8a00\u6a21\u578b\u6d8c\u73b0\u6f14\u5316\u4fe1\u606f\uff0c\u52a0\u901f\u86cb\u767d\u8d28\u7ed3\u6784\u9884\u6d4b<\/a><\/strong><\/span><\/strong><\/section>\n
3. <\/strong><\/strong>Science \u901f\u9012\uff1a\u5927\u8bed\u8a00\u6a21\u578b\u5bf9\u86cb\u767d\u8d28\u7ed3\u6784\u8fdb\u884c\u6f14\u5316\u5c3a\u5ea6\u9884\u6d4b<\/a><\/strong><\/strong><\/span><\/strong><\/strong><\/section>\n
4. \u300a\u5f20\u6c5f\u00b7\u590d\u6742\u79d1\u5b66\u524d\u6cbf27\u8bb2\u300b\u5b8c\u6574\u4e0a\u7ebf\uff01<\/strong><\/a><\/strong><\/strong><\/strong><\/section>\n
5. \u6210\u4e3a\u96c6\u667aVIP\uff0c\u89e3\u9501\u5168\u7ad9\u8bfe\u7a0b\uff0f\u8bfb\u4e66\u4f1a<\/span><\/strong><\/a><\/strong><\/strong><\/strong><\/strong><\/section>\n
6.<\/strong><\/strong><\/strong> <\/strong><\/strong><\/strong>\u52a0\u5165\u96c6\u667a\uff0c\u4e00\u8d77\u590d\u6742\uff01<\/strong><\/a><\/strong><\/strong><\/strong><\/span><\/section>\n

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\u70b9\u51fb\u201c\u9605\u8bfb\u539f\u6587\u201d\uff0c\u62a5\u540d\u8bfb\u4e66\u4f1a<\/strong><\/span><\/strong><\/section>\n

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\u5173\u952e\u8bcd\uff1a\u86cb\u767d\u8d28\u7ed3\u5408\u754c\u9762\u9884\u6d4b\uff0c\u65e0\u53c2\u6570\u6df1\u5ea6\u5b66\u4e60\uff0c\u9ad8\u901a\u91cf\u9884\u6d4b\uff0ctransformer \u67b6\u6784 \u8bba\u6587\u9898\u76ee\uff1aPeSTo: parameter-free geometric deep learning for accurate prediction of protein binding interfaces \u8bba\u6587…<\/p>\n","protected":false},"author":0,"featured_media":42190,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[1],"tags":[],"special":[],"_links":{"self":[{"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts\/42197"}],"collection":[{"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/types\/post"}],"replies":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=42197"}],"version-history":[{"count":0,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts\/42197\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/media\/42190"}],"wp:attachment":[{"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=42197"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=42197"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=42197"},{"taxonomy":"special","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fspecial&post=42197"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}