{"id":41684,"date":"2023-04-10T19:44:52","date_gmt":"2023-04-10T11:44:52","guid":{"rendered":"https:\/\/swarma.org\/?p=41684"},"modified":"2023-04-10T19:44:52","modified_gmt":"2023-04-10T11:44:52","slug":"science%e5%89%8d%e6%b2%bf%ef%bc%9a%e5%a4%a7%e8%af%ad%e8%a8%80%e6%a8%a1%e5%9e%8b%e6%b6%8c%e7%8e%b0%e6%bc%94%e5%8c%96%e4%bf%a1%e6%81%af%ef%bc%8c%e5%8a%a0%e9%80%9f%e8%9b%8b%e7%99%bd%e8%b4%a8%e7%bb%93","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=41684","title":{"rendered":"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"},"content":{"rendered":"
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Evolutionary-scale prediction of atomic-level protein structure with a language model<\/span><\/section>\n
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\u56fe1. \u86cb\u767d\u8d28\u5206\u5b50\u7ed3\u6784\u7684\u56db\u4e2a\u5c42\u6b21 | \u56fe\u7247\u6765\u6e90\uff1ahttps:\/\/www.khanacademy.org\/science\/biology\/macromolecules\/proteins-and-amino-acids\/a\/orders-of-protein-structure<\/span><\/p>\n


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\u56fe2. \u5171\u6f14\u5316\u4fe1\u606f\u5728\u7ed3\u6784\u9884\u6d4b\u4e2d\u7684\u8fd0\u7528\u3002\u63d0\u4f9b\u6b8b\u57fa-\u6b8b\u57fa\u7684\u8ddd\u79bb\u7ea6\u675f\u3002| \u6539\u7f16\u81ea Kuhlman, Brian, Philip Bradley. \u300aAdvances in Protein Structure Prediction and Design\u300b. Nature Reviews Molecular Cell Biology<\/em> 20, \u671f 11 (2019\u5e7411\u6708): 681\u201397. https:\/\/doi.org\/10.1038\/s41580-019-0163-x.<\/span><\/p>\n


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\u5728\u7ed3\u6784\u9884\u6d4b\u7684\u7814\u7a76\u8fc7\u7a0b\u4e2d\uff0c\u79ef\u7d2f\u4e86\u8fd120\u4e07\u5957\u7684\u7ed3\u6784\u6570\u636e<\/span>\uff08PDB\u6570\u636e\u5e93\uff09<\/span>\u548c\u4e0a\u4ebf\u6761\u86cb\u767d\u8d28\u5e8f\u5217\u3002\u8fc7\u53bb\u5341\u591a\u5e74\uff0c\u6df1\u5ea6\u5b66\u4e60\u6280\u672f\u5feb\u901f\u53d1\u5c55\uff0c\u6b63\u597d\u53ef\u4ee5\u7528\u6765\u89e3\u51b3\u62e5\u6709\u5927\u91cf\u6570\u636e\u7684\u86cb\u767d\u8d28\u7ed3\u6784\u9884\u6d4b\u95ee\u9898\u3002\u5728CASP12<\/span>\uff082016\u5e74\uff09<\/span>\u4e0a\uff0c\u8bb8\u9526\u6ce2\u6559\u6388\u9996\u6b21\u6210\u529f\u628a\u6b8b\u5dee\u7f51\u7edc<\/span>\uff08ResNet\uff09<\/span>\u5e94\u7528\u4e8e\u86cb\u767d\u8d28\u6b8b\u57fa\u63a5\u89e6\u56fe\u7684\u9884\u6d4b\u4e2d\uff0c\u5927\u5e45\u63d0\u5347\u4e86\u6b8b\u57fa\u63a5\u89e6\u56fe\u9884\u6d4b<\/span>\uff08contact map\uff09<\/span>\u7684\u7cbe\u5ea6\uff0c\u4e3a\u63d0\u5347\u4ece\u5934\u7ed3\u6784\u9884\u6d4b\u7684\u7cbe\u5ea6\u5960\u5b9a\u4e86\u57fa\u7840\u3002\u5728CASP13\u4e0a<\/span>\uff082018\u5e74\uff09<\/span>\uff0cDeepMind \u56e2\u961f\u57fa\u4e8e\u7c7b\u4f3c\u601d\u60f3\u5f00\u53d1\u4e86AlphaFold\uff0c\u5728\u6bd4\u8d5b\u4e2d\u593a\u5f97\u51a0\u519b\u3002\u57282020\u5e74\u4e3e\u529e\u7684CASP14\u4e2d\uff0cDeepMind\u5f00\u53d1\u7684AlphaFold2\u9707\u60ca\u4e86\u4e16\u754c\uff0c\u8be5\u6a21\u578b\u91c7\u7528\u6ce8\u610f\u529b\u673a\u5236<\/span>\uff08Transformer\uff09<\/span>\uff0c\u5bf9\u7ade\u8d5b\u7684\u76ee\u6807\u86cb\u767d\u7684\u9884\u6d4b\u7cbe\u5ea6GDT_TS<\/span>\uff08Global Distance Test – Total Score\uff09<\/span>\u4e2d\u4f4d\u6570\u8d85\u8fc7\u4e8690<\/span>\uff08\u56fe 1\u20113\uff09<\/span>\uff0c\u610f\u5473\u7740\u5bf9\u5176\u4e2d\u5f88\u591a\u86cb\u767d\u6240\u9884\u6d4b\u7684\u7ed3\u6784\u4e0e\u5b9e\u9a8c\u7ed3\u6784\u975e\u5e38\u63a5\u8fd1\uff0c\u5747\u65b9\u6839\u5dee<\/span>\uff08Root Mean Squared Deviations\uff0cRMSD\uff09<\/span>\u57281-2\u57c3\u4ee5\u5185\u3002\u5c3d\u7ba1AF2\u53d6\u5f97\u4e86\u5de8\u5927\u7684\u6210\u529f\uff0c\u4f46\u7531\u4e8eAF2\u9700\u8981\u641c\u5e93\u6784\u5efa MSA<\/span>\uff08multiple sequences alignment\uff09<\/span>\uff0c\u901f\u5ea6\u6162\u3002\u53d1\u5c55\u65b0\u7684\u901f\u5ea6\u66f4\u5feb\u7684\u6a21\u578b\uff0c\u975e\u5e38\u6709\u5fc5\u8981\u3002<\/span><\/section>\n

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\u86cb\u767d\u8d28\u4e0e\u4eba\u7c7b\u7684\u8bed\u8a00\u6709\u5929\u7136\u7684\u76f8\u4f3c\u6027<\/strong><\/span>\uff08\u56fe3\uff09<\/span>\u3002\u8bed\u8a00\u7684\u5b57\u6bcd\u53ef\u4ee5\u5bf9\u5e94\u5230\u86cb\u767d\u8d28\u7684\u6c28\u57fa\u9178\u5e8f\u5217\uff0c\u8bed\u8a00\u7684\u5b57\u6bcd\u7ec4\u6210\u5355\u8bcd\u53ef\u4ee5\u5bf9\u5e94\u5230\u6c28\u57fa\u9178\u6784\u6210\u4e8c\u7ea7\u7ed3\u6784\uff0c\u8bed\u8a00\u4e2d\u5355\u8bcd\u7ec4\u6210\u6709\u610f\u4e49\u7684\u53e5\u5b50\u53ef\u4ee5\u5bf9\u5e94\u5230\u4e8c\u7ea7\u7ed3\u6784\u7ec4\u6210\u86cb\u767d\u8d28\u7684\u4e09\u7ea7\u7ed3\u6784\uff0c\u6709\u610f\u4e49\u7684\u53e5\u5b50\u7ec4\u6210\u590d\u6742\u7684\u6587\u672c\u53ef\u4ee5\u5bf9\u5e94\u5230\u591a\u4e2a\u86cb\u767d\u7ec4\u6210\u56db\u7ea7\u7ed3\u6784<\/span>\uff08\u56fe3-a\uff09<\/span>\u3002\u53e6\u5916\uff0c\u8bed\u8a00\u4e2d\u5b57\u6bcd\u9519\u914d\u5bfc\u81f4\u8bed\u4e49\u6539\u53d8\u5bf9\u5e94\u4e8e\u6c28\u57fa\u9178\u7684\u6539\u53d8\u5bfc\u81f4\u86cb\u767d\u8d28\u4e0d\u80fd\u591f\u6b63\u786e\u6298\u53e0\uff0c\u5b57\u6bcd\u7247\u6bb5\u548c\u6c28\u57fa\u9178\u7247\u6bb5\u987a\u5e8f\u6539\u53d8\u53ef\u4ee5\u4e0d\u6539\u53d8\u8bed\u4e49\u548c\u529f\u80fd\uff0c\u53ef\u4ee5\u751f\u6210\u5408\u4e4e\u8bed\u6cd5\u4f46\u65e0\u610f\u4e49\u7684\u53e5\u5b50\u5bf9\u5e94\u4e8e\u53ef\u4ee5\u751f\u6210\u6298\u53e0\u6210\u56db\u7ea7\u7ed3\u6784\u4f46\u6ca1\u6709\u529f\u80fd\u7684\u86cb\u767d<\/span>\uff08\u56fe3-b\uff09<\/span>\u3002<\/span><\/section>\n

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\u56fe3. \u86cb\u767d\u8d28\u548c\u4eba\u7c7b\u8bed\u8a00\u7684\u76f8\u4f3c\u6027\u3002| \u5f15\u81eaFerruz, Noelia, Birte H\u00f6cker. Controllable Protein Design with Language Models. Nature Machine Intelligence<\/em> 4, \u671f 6 (2022\u5e746\u6708): 521\u201332. https:\/\/doi.org\/10.1038\/s42256-022-00499-z.<\/span><\/p>\n


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\u65e2\u7136\u86cb\u767d\u8d28\u4e0e\u8bed\u8a00\u5177\u6709\u5929\u7136\u7684\u76f8\u4f3c\u6027\uff0c\u901a\u8fc7\u5927\u8bed\u8a00\u6a21\u578b\u5e94\u8be5\u53ef\u4ee5\u5b66\u4e60\u5230\u86cb\u767d\u8d28\u7684\u7ed3\u6784\u4fe1\u606f\uff0c\u4ece\u800c\u8fdb\u884c\u7ed3\u6784\u9884\u6d4b\u3002\u6765\u81ea meta AI \u56e2\u961f\u7684\u7814\u7a76\u8005\u5bf9\u6b64\u8fdb\u884c\u4e86\u7814\u7a76\uff0c\u8bad\u7ec3\u4e86\u6d8c\u73b0\u51fa\u7ed3\u6784\u4fe1\u606f\u7684\u5927\u8bed\u8a00\u6a21\u578bESM\uff0c\u5e76\u5f00\u53d1\u4e86\u4e00\u4e2a\u4ece\u5e8f\u5217\u5230\u7ed3\u6784\u7684\u9884\u6d4b\u5668ESMFold\uff0c\u5bf9\u5355\u5e8f\u5217\u86cb\u767d\u7684\u9884\u6d4b\u7cbe\u5ea6\u8d85\u8fc7\u4e86AF2\uff0c\u5bf9\u6709\u540c\u6e90\u5e8f\u5217\u7684\u86cb\u767d\u7684\u9884\u6d4b\u7cbe\u5ea6\u63a5\u8fd1AF2\uff0c\u4e14\u901f\u5ea6\u63d0\u5347\u4e86\u4e00\u4e2a\u6570\u91cf\u7ea7\u3002\u91c7\u7528\u8fd9\u4e2a\u5feb\u901f\u7684\u6a21\u578b\uff0c\u7814\u7a76\u8005\u9884\u6d4b\u4e866\u4ebf\u591a\u6761\u5b8f\u57fa\u56e0\u7ec4\u7684\u86cb\u767d\u8d28\uff0c\u5c55\u793a\u4e86\u81ea\u7136\u754c\u86cb\u767d\u8d28\u7684\u5e7f\u5ea6\u548c\u591a\u6837\u6027\u3002<\/span><\/section>\n

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1. \u5927\u8bed\u8a00\u6a21\u578b\u6d8c\u73b0\u51fa\u539f\u5b50\u7ea7\u522b\u7684\u86cb\u767d\u8d28\u7ed3\u6784<\/span><\/strong><\/span><\/h2>\n

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\u5728\u672c\u7814\u7a76\u4e2d\uff0c\u968f\u673a\u5c06\u5e8f\u5217\u4e2d15%\u7684\u6c28\u57fa\u9178\u4ee5\u63a9\u7801\u8868\u793a\uff0c\u6a21\u578b\u7684\u4efb\u52a1\u662f\u6839\u636e\u63a9\u7801\u5468\u56f4\u7684\u6c28\u57fa\u9178\u9884\u6d4b\u51fa\u63a9\u7801\u8868\u793a\u7684\u6c28\u57fa\u9178\u3002\u6a21\u578b\u53ef\u4ee5\u5b66\u4e60\u5230\u6c28\u57fa\u9178\u4e4b\u95f4\u7684\u4f9d\u8d56\u5173\u7cfb\uff0c\u5b66\u4e60\u5728\u6f14\u5316\u8fc7\u7a0b\u5f62\u6210\u7684\u6a21\u5f0f\u3002\u6a21\u578b\u8bad\u7ec3\u91c7\u7528\u7684\u5e8f\u5217\u6765\u81eaUniRef\u6570\u636e\u5e93\u3002\u8bad\u7ec3\u4e2d\uff0c\u5c061.38\u4ebf\u6761\u5e8f\u5217\u805a\u7c7b\u4e3a0.43\u4ebf\u7c7b\u522b\uff0c\u7b49\u6982\u7387\u5730\u4ece\u8fd90.43\u4ebf\u7c7b\u522b\u4e2d\u53d6\u5e8f\u5217\u8fdb\u884c\u8bad\u7ec3\uff0c\u56e0\u6b64\uff0c\u5728\u6574\u4e2a\u8bad\u7ec3\u8fc7\u7a0b\u4e2d\uff0c\u6a21\u578b\u5171\u201c\u770b\u201d\u4e860.65\u4ebf\u6761\u72ec\u7279\u7684\u5e8f\u5217\u3002<\/span><\/section>\n

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\u7814\u7a76\u8005\u8bad\u7ec3\u4e86\u4e00\u7cfb\u5217\u53c2\u6570\u91cf\u4ece800\u4e07\u5230150\u4ebf\u7684\u591a\u4e2a\u86cb\u767d\u8d28\u8bed\u8a00\u6a21\u578b\u3002\u968f\u7740\u6a21\u578b\u589e\u5927\uff0c\u9884\u6d4b\u6c28\u57fa\u9178\u7684\u51c6\u786e\u5ea6\u63d0\u9ad8<\/strong>\u3002\u51c6\u786e\u5ea6\u53ef\u4ee5\u901a\u8fc7\u56f0\u60d1\u5ea6<\/span>\uff08perplexity\uff09<\/span>\u6765\u5ea6\u91cf\uff0c\u76f4\u89c2\u6765\u8bf4\uff0c\u56f0\u60d1\u5ea6\u63cf\u8ff0\u4e86\u5bf9\u4e8e\u5e8f\u5217\u4e2d\u7684\u6bcf\u4e2a\u4f4d\u7f6e\uff0c\u6a21\u578b\u5e73\u5747\u4ece\u591a\u5c11\u4e2a\u6c28\u57fa\u9178\u4e2d\u9009\u62e9\u4e00\u4e2a\u3002\u56f0\u60d1\u5ea6\u4ece1\u523020\uff0c1\u8868\u793a\u5b8c\u5168\u51c6\u786e\u7684\u9884\u6d4b\uff0c20\u8868\u793a\u5b8c\u5168\u968f\u673a\u7684\u9884\u6d4b<\/span>\uff08\u5171\u670920\u79cd\u6c28\u57fa\u9178\uff09<\/span>\u3002\u5bf9\u4e8e\u540c\u4e00\u4e2a\u6a21\u578b\uff0c\u968f\u7740\u6a21\u578b\u8bad\u7ec3\u6b65\u6570\u7684\u589e\u52a0\uff0c\u56f0\u60d1\u5ea6\u51cf\u5c0f\uff1b\u5bf9\u4e8e\u4e0d\u540c\u53c2\u6570\u7684\u6a21\u578b\uff0c\u5728\u76f8\u540c\u7684\u8bad\u7ec3\u6b65\u6570\u4e0b\uff0c\u6a21\u578b\u53c2\u6570\u91cf\u8d8a\u5927\uff0c\u56f0\u60d1\u5ea6\u8d8a\u5c0f\u3002800\u4e07\u53c2\u6570\u6a21\u578b\u7684\u56f0\u60d1\u5ea6\u4e3a10.45\uff0c\u800c150\u4ebf\u53c2\u6570\u7684\u6a21\u578b\u8fbe\u5230\u4e866.37\uff0c\u8868\u660e\u5728\u7406\u89e3\u86cb\u767d\u8d28\u5e8f\u5217\u4e0a\uff0c\u6a21\u578b\u8d8a\u5927\uff0c\u7406\u89e3\u8d8a\u51c6\u786e\u3002<\/span><\/section>\n

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\u56fe4. \u5f53\u8bed\u8a00\u6a21\u578b\u589e\u5927\u5230150\u4ebf\u53c2\u6570\u65f6\uff0c\u7ed3\u6784\u4fe1\u606f\u5728\u6a21\u578b\u4e2d\u6d8c\u73b0<\/span><\/section>\n

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\u968f\u7740\u6a21\u578b\u7684\u589e\u5927\uff0c\u4ece\u4e2d\u6d8c\u73b0\u51fa\u4e86\u86cb\u767d\u8d28\u7684\u7ed3\u6784\u7279\u5f81\u3002ESM2\u4ec5\u4ec5\u662f\u57fa\u4e8e\u5e8f\u5217\u8bad\u7ec3\uff0c\u56e0\u6b64\uff0c\u4efb\u4f55\u51fa\u73b0\u7684\u7ed3\u6784\u4fe1\u606f\u90fd\u662f\u5e8f\u5217\u4e2d\u6a21\u5f0f\u7684\u4e00\u79cd\u8868\u793a\u3002\u5df2\u6709\u7684\u7814\u7a76\u8868\u660e\uff0cTransformer \u7684\u86cb\u767d\u8d28\u8bed\u8a00\u6a21\u578b\u53ef\u4ee5\u53d1\u5c55\u51fa\u4e0e\u6b8b\u57fa-\u6b8b\u57fa\u63a5\u89e6\u56fe<\/span>\uff08\u6b8b\u57fa-\u6b8b\u57fa\u63a5\u89e6\u56fe\u8868\u793a\u86cb\u767d\u8d28\u4e2d\u4e24\u4e24\u6c28\u57fa\u9178\u4e4b\u95f4\u662f\u5426\u63a5\u89e6\uff09<\/span>\u76f8\u5173\u7684\u6ce8\u610f\u529b\u6a21\u5f0f\u3002\u901a\u8fc7\u4e00\u4e2a\u7b80\u5355\u7684\u7ebf\u6027\u6295\u5f71\uff0c\u5c31\u53ef\u4ee5\u4ece\u6a21\u578b\u8f93\u51fa\u7684\u6ce8\u610f\u529b\u6a21\u5f0f<\/span>\uff08attention pattern\uff09<\/span>\u4e2d\u63d0\u53d6\u51fa\u6b8b\u57fa-\u6b8b\u57fa\u63a5\u89e6\u56fe<\/span>\uff08\u56fe4-A\uff09<\/span>\u3002\u968f\u7740\u6a21\u578b\u7684\u589e\u5927\uff0c\u6b8b\u57fa\u56fe\u7684\u9884\u6d4b\u8d8a\u51c6\u786e<\/span>\uff08\u56fe4-B\uff09<\/span>\u3002\u5728\u6f14\u5316\u4e0a\u540c\u6e90\u86cb\u767d\u8d8a\u591a\u7684\u86cb\u767d\uff0c\u968f\u7740\u6a21\u578b\u7684\u589e\u5927\uff0c\u51c6\u786e\u6027\u9971\u548c\u8d8a\u5feb\uff1b\u800c\u6f14\u5316\u4e0a\u540c\u6e90\u86cb\u767d\u8d8a\u5c11\u7684\u86cb\u767d\uff0c\u51c6\u786e\u6027\u9971\u548c\u8d8a\u6162<\/span>\uff08\u56fe4-C\uff09<\/span>\u3002<\/span><\/section>\n

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\u901a\u8fc7\u770b\u4e00\u4e2a\u4e00\u4e2a\u7684\u86cb\u767d\uff0c\u7814\u7a76\u8005\u53d1\u73b0\uff0c\u63a5\u89e6\u56fe\u9884\u6d4b\u7684\u51c6\u786e\u6027\u968f\u7740\u6a21\u578b\u7684\u589e\u5927\u975e\u7ebf\u6027\u5730\u63d0\u9ad8<\/strong>\u3002\u53ef\u89c6\u5316\u4ece\u4e00\u4e2a\u5c3a\u5ea6\u5230\u4e0b\u4e00\u4e2a\u66f4\u5927\u5c3a\u5ea6\u7684\u6a21\u578b\u7684\u957f\u7a0b\u63a5\u89e6\u56fe\u9884\u6d4b\u7684\u51c6\u786e\u5ea6\uff0c\u53d1\u73b0\u51c6\u786e\u5ea6\u662f\u8dc3\u5347\u7684<\/span>\uff08\u56fe4-D\uff09<\/span>\u3002\u63a5\u89e6\u56fe\u7684\u9884\u6d4b\u51c6\u786e\u5ea6\u4e0e\u56f0\u60d1\u5ea6\u662f\u5173\u8054\u5728\u4e00\u8d77\u7684\uff0c\u63a5\u89e6\u56fe\u9884\u6d4b\u51c6\u786e\u5ea6\u7684\u5de8\u5927\u53d8\u5316\u4e5f\u610f\u5473\u7740\u56f0\u60d1\u5ea6\u7684\u5de8\u5927\u53d8\u5316\u3002\u8fd9\u79cd\u5173\u8054\u4e5f\u9884\u793a\u7740\u8bed\u8a00\u6a21\u578b\u7684\u76ee\u6807\u662f\u76f4\u63a5\u4e0e\u7ed3\u6784\u4fe1\u606f\u5728\u6ce8\u610f\u529b\u56fe\u4e2d\u7684\u5448\u73b0<\/span>\uff08materialization\uff09<\/span>\u76f4\u63a5\u76f8\u5173\u3002<\/span><\/section>\n

<\/span><\/section>\n
\u4e3a\u4e86\u4ece\u5927\u8bed\u8a00\u6a21\u578b\u7684\u86cb\u767d\u8d28\u8868\u793a\u4e2d\u5f97\u5230\u539f\u5b50\u7ea7\u522b\u7684\u7ed3\u6784\u4fe1\u606f\uff0c\u7814\u7a76\u4eba\u5458\u91c7\u7528\u4e86\u7b49\u53d8transformer<\/span>\uff08equivariant transformer\uff09<\/span>\u642d\u5efa\u4e86\u4e00\u4e2a\u9884\u6d4b\u7684\u6a21\u578b\u3002<\/span><\/section>\n

<\/span><\/section>\n
2. \u5927\u8bed\u8a00\u6a21\u578b\u52a0\u901f\u86cb\u767d\u8d28\u7ed3\u6784\u9884\u6d4b<\/span><\/strong><\/span><\/section>\n

<\/section>\n
\u5728AF2\u4e2d\uff0c\u5728\u8fdb\u884c\u7ed3\u6784\u9884\u6d4b\u524d\uff0c\u9700\u8981\u4ece\u6570\u636e\u5e93\u4e2d\u641c\u7d22\u76f8\u4f3c\u7684\u5e8f\u5217\u3001\u8fdb\u884c\u591a\u91cd\u5e8f\u5217\u6bd4\u5bf9\uff0c\u8fd9\u6837\u7684\u64cd\u4f5c\u5927\u6982\u9700\u898110\u5206\u949f\u3002\u672c\u7814\u7a76\u7684\u5927\u8bed\u8a00\u6a21\u578b\u5c06<\/strong>\u6f14\u5316<\/strong>\u6a21\u5f0f\u5185\u5316\u5728\u4e86\u6a21\u578b\u4e2d\uff0c\u56e0\u6b64\u4e0d\u518d\u9700\u8981\u5916\u90e8\u7684\u6570\u636e\u5e93\u3001\u591a\u91cd\u5e8f\u5217\u6bd4\u5bf9\u548c\u6a21\u677f\uff0c\u4ece\u800c\u663e\u8457\u63d0\u9ad8\u4e86\u7ed3\u6784\u9884\u6d4b\u7684\u6548\u7387<\/strong>\u3002<\/span><\/section>\n

<\/section>\n
\u901a\u8fc7\u5728ESM-2\u7684\u57fa\u7840\u4e0a\u8bad\u7ec3\u4e00\u4e2a\u6298\u53e0\u7684\u6a21\u578b\uff0c\u5f00\u53d1\u4e86\u4e00\u4e2a\u7aef\u5bf9\u7aef\u7684\u5355\u5e8f\u5217\u7ed3\u6784\u9884\u6d4b\u5668ESMFold\u3002\u5728\u9884\u6d4b\u7684\u65f6\u5019\uff0c\u86cb\u767d\u8d28\u5e8f\u5217\u8f93\u5165\u5230ESM-2\u4e2d\uff0c\u8f93\u51fa\u7684\u9690\u5411\u91cf\u8f93\u5165\u5230\u9884\u6d4b\u6a21\u5757\u4e2d\u3002\u9884\u6d4b\u6a21\u5757\u7684\u7b2c\u4e00\u90e8\u5206\u662f\u4e00\u5e8f\u5217\u7684\u6298\u53e0\u5757\uff0c\u6bcf\u4e2a\u6298\u53e0\u5757\u5728\u66f4\u65b0\u5e8f\u5217\u8868\u793a\u548c\u4e24\u4e24\u8868\u793a\u3002\u8be5\u90e8\u5206\u7684\u8f93\u51fa\u8f93\u5165\u5230\u7b49\u53d8 transformer \u7684\u7ed3\u6784\u6a21\u5757\u4e2d\uff0c\u901a\u8fc73\u6b65\u7684\u91cd\u590d<\/span>\uff08recycling\uff09<\/span>\uff0c\u6700\u540e\u4ea7\u751f\u7ed3\u6784\u548c\u53ef\u4fe1\u5ea6\u3002\u8be5\u9884\u6d4b\u6a21\u578b\u4e0eAF2\u7684\u9884\u6d4b\u6a21\u578b\u6709\u76f8\u4f3c\u4e4b\u5904\uff0c\u4f46\u66f4\u7b80\u6d01<\/span>\uff08\u56fe5-A\uff09<\/span>\u3002<\/span><\/section>\n

<\/span><\/section>\n
<\/section>\n
\u56fe5. \u7528 ESMFold \u8fdb\u884c\u5355\u5e8f\u5217\u7684\u7ed3\u6784\u9884\u6d4b<\/span><\/section>\n

<\/section>\n
\u4e0eAF2\u76f8\u6bd4\uff0cESMFold\u7684\u901f\u5ea6\u66f4\u5feb\u3002\u5728\u5355\u4e2aNVIDIA V100\u7684GPU\u4e0a\uff0cESMFold\u9884\u6d4b\u4e00\u4e2a\u957f\u5ea6\u4e3a384\u7684\u86cb\u767d\u7684\u7ed3\u6784\u53ea\u970014.2\u79d2\uff0c\u6bd4AF2\u5feb\u4e866\u500d\u3002\u5bf9\u4e8e\u66f4\u77ed\u7684\u86cb\u767d\uff0cESMFold\u7684\u901f\u5ea6\u53ef\u4ee5\u6bd4AF2\u5feb60\u500d\u5de6\u53f3\u3002ESMFold\u5feb\u7684\u4e3b\u8981\u539f\u56e0\u662f\u5176\u4e0d\u9700\u8981\u8fdb\u884c\u641c\u5e93\u6784\u5efaMSA<\/span>\uff08\u5927\u6982\u9700\u898110\u5206\u949f\uff09<\/span>\u3002<\/span><\/section>\n

<\/section>\n
\u4e0eAF2\u76f8\u6bd4\uff0cESMFold\u7684\u5e73\u5747\u51c6\u786e\u6027\u4f4e\uff08\u56fe5-B\uff09\u3002\u5728CAMEO\u548cCASP14\u7684\u6570\u636e\u96c6\u4e0a\uff0cAF2\u7684TM-score\u5206\u522b\u4e3a0.88\u548c0.85\uff0c\u800cESMFold\u7684TM-score\u5206\u522b\u4e3a0.83\u548c0.68\u3002<\/span><\/section>\n

<\/span><\/section>\n
3. \u5b8f\u57fa\u56e0\u7ec4\u5728\u6f14\u5316\u5c3a\u5ea6\u4e0a\u7684\u86cb\u767d\u7ed3\u6784\u523b\u753b<\/span><\/strong><\/span><\/section>\n

<\/section>\n
\u9ad8\u7cbe\u5ea6\u4e14\u5feb\u901f\u7684\u7ed3\u6784\u9884\u6d4b\u80fd\u529b\u4e3a\u5b8f\u57fa\u56e0\u7ec4\u86cb\u767d\u8d28\u7ed3\u6784\u7684\u523b\u753b\u63d0\u4f9b\u4e86\u673a\u4f1a\u3002\u8be5\u7814\u7a76\u9884\u6d4b\u4e86MGnify90\u6570\u636e\u5e93\u4e2d\u957f\u5ea620~1024\u76846.17\u4ebf\u591a\u6761\u5e8f\u5217\u7684\u7ed3\u6784\uff0c\u5360\u5230\u6240\u6709\u5e8f\u5217\u768499%\u3002\u603b\u7ed3\u6765\u8bf4\uff0c\u7814\u7a76\u9884\u6d4b\u5927\u7ea63.65\u4ebf\u6761\u662f\u4e2d\u7b49\u53ef\u4fe1\u5ea6\u7684<\/span>\uff08good confidence\uff09<\/span>\uff0c\u5360\u523059%\uff0c\u67092.25\u4ebf\u6761\u662f\u9ad8\u53ef\u4fe1\u5ea6\u7684<\/span>\uff08high confidence\uff09<\/span>\uff0c\u5360\u523036%\u3002<\/span><\/section>\n

<\/span><\/section>\n
ESMFold \u7684\u53ef\u4fe1\u5ea6\u5206\u6570\u662f\u4e00\u4e2a\u4e0e\u5b9e\u9a8c\u7ed3\u679c\u548c AF2 \u7ed3\u679c\u76f8\u7b26\u7684\u5f88\u597d\u7684\u6307\u6807\u3002\u7814\u7a76\u8005\u5728\u5b8f\u57fa\u56e0\u7ec4\u7684\u86cb\u767d\u4e0a\u8bc4\u4f30\u4e86ESMFold  \u548c AF2\u3002\u5728\u5927\u7ea64000\u6761\u5b8f\u57fa\u56e0\u7ec4\u7684\u86cb\u767d\u8d28\u4e0a\uff0cESMFold \u548c AlphaFold2 \u7684 pLDDT \u5177\u6709\u9ad8\u76f8\u5173\u6027<\/span>\uff08Pearson r = 0.79\uff09<\/span>\u3002\u7ed3\u5408\u5728 CAMEO \u6570\u636e\u4e0a\u7684\u7ed3\u679c\uff0c\u5f53\u53ef\u4fe1\u5ea6\u975e\u5e38\u9ad8<\/span>\uff08pLDDT > 0.9\uff09<\/span>\u65f6\uff0cESMFold\u9884\u6d4b\u80fd\u591f\u8fbe\u5230\u5b9e\u9a8c\u7684\u51c6\u786e\u5ea6\u3002\u8fd9\u4e9b\u7ed3\u679c\u8868\u660e\uff0c\u5728\u6240\u6709\u9884\u6d4b\u76846.17\u4ebf\u6761\u86cb\u767d\u8d28\u4e2d\uff0c1.13\u4ebf\u6761\u6ee1\u8db3\u8d85\u9ad8\u53ef\u4fe1\u5ea6\u7684\u6807\u51c6<\/span>\uff08pLDDT > 0.9\uff09<\/span>\u3002<\/span><\/section>\n

<\/span><\/section>\n
<\/section>\n
\u56fe6. \u5b8f\u57fa\u56e0\u7ec4\u7684\u86cb\u767d\u7ed3\u6784\u7a7a\u95f4<\/span><\/section>\n

<\/span><\/section>\n
ESMFold<\/strong> <\/strong>\u53ef\u4ee5\u9ad8\u6548\u5730\u523b\u753b\u8fdc\u79bb\u5df2\u6709\u77e5\u8bc6\u7684\u86cb\u767d\u8d28\u7a7a\u95f4<\/strong>\u3002\u5f88\u591a\u9ad8\u53ef\u4fe1\u5ea6\u7684\u5b8f\u57fa\u56e0\u7ec4\u86cb\u767d\u7684\u7ed3\u6784\u4e0d\u5728\u5df2\u6709\u7684\u6570\u636e\u5e93\u4e2d\u3002\u5728\u968f\u673a\u7684\u4e00\u767e\u4e07\u6761\u9ad8\u53ef\u4fe1\u5ea6\u86cb\u767d\u7ed3\u6784\u4e2d\uff0c76.8% \u7684\u86cb\u767d\u4e0e UniRef90 \u4e2d\u7684\u4efb\u4e00\u86cb\u767d\u7684\u5e8f\u5217\u540c\u4e00\u6027\u4f4e\u4e8e 90%\uff0c\u8868\u660e\u5b83\u4eec\u4e0e\u5df2\u6709\u7684 UniRef90 \u5e8f\u5217\u975e\u5e38\u4e0d\u540c\uff1b3.8% \u7684\u86cb\u767d\u5728 UniRef90 \u4e2d\u4e00\u6761\u76f8\u4f3c\u7684\u86cb\u767d\u90fd\u6ca1\u6709\u627e\u5230\u3002\u7528 Foldseek \u6bd4\u8f83\u9884\u6d4b\u7684\u7ed3\u6784\u4e0ePDB\u6570\u636e\u5e93\u4e2d\u7684\u7ed3\u6784\uff0c\u5728 TM-score \u7684\u5361\u503c\u4e3a0.7\u548c0.5\u65f6\uff0c\u5206\u522b\u6709 25.4% \u7684\u86cb\u767d\u548c 12.6% \u7684\u86cb\u767d\u6ca1\u6709\u627e\u5230\u76f8\u4f3c\u7684\u86cb\u767d\u7ed3\u6784\uff1b\u5728 TM-score \u7684\u5361\u503c\u4e3a0.5\u3001\u5e8f\u5217\u4e00\u81f4\u6027\u7684\u5361\u503c30%\u65f6\uff0c\u67092.6%\u86cb\u767d\u6ca1\u6709\u627e\u5230\u76f8\u4f3c\u7684\u86cb\u767d\u7ed3\u6784\u3002<\/span><\/section>\n

<\/span><\/section>\n
\u5927\u89c4\u6a21\u7684\u7ed3\u6784\u523b\u753b\u4f7f\u7f3a\u5931\u5e8f\u5217\u76f8\u4f3c\u6027\u7684\u60c5\u51b5\u4e0b\u9274\u5b9a\u7ed3\u6784\u76f8\u4f3c\u6027\u6210\u4e3a\u53ef\u80fd\u3002\u5f88\u591a\u9ad8\u53ef\u4fe1\u5ea6\u7684\u7ed3\u6784\u5bf9\u5e94\u7684\u5e8f\u5217\u4e0eUniRef90 \u4e2d\u7684\u5e8f\u5217\u76f8\u4f3c\u6027\u4f4e\uff0c\u5374\u5728PDB\u6570\u636e\u5e93\u4e2d\u5177\u6709\u76f8\u4f3c\u7684\u7ed3\u6784\u3002\u8fd9\u79cd\u9065\u8fdc\u7684\u540c\u6e90\u8d85\u51fa\u4e86\u901a\u8fc7\u5e8f\u5217\u4e00\u81f4\u6027\u53ef\u4ee5\u68c0\u6d4b\u7684\u8303\u56f4\u3002\u6bd4\u5982\uff0cMGnify \u7684\u5e8f\u5217 MGYP000936678158 \u5728 UniREF90 \u4e2d\u6ca1\u6709\u5339\u914d\u7684\u5e8f\u5217\uff0c\u901a\u8fc7 jackhmer \u4e5f\u6ca1\u6709\u641c\u7d22\u5230\u76f8\u4f3c\u7684\u5e8f\u5217\uff0c\u4f46\u5b83\u5374\u6709\u5728\u591a\u4e2a\u6838\u9176\u4e2d\u4fdd\u5b88\u7684\u7ed3\u6784\u3002\u7c7b\u4f3c\u5730\uff0cMGYP004000959047 \u5728 UniREF90 \u6ca1\u6709\u5339\u914d\u7684\u5e8f\u5217\uff0c\u548c jackhmer \u7684\u641c\u5e93\u7ed3\u679c\u4e5f\u4e0d\u76f8\u4f3c\uff0c\u5374\u4e0e\u8102\u7ed3\u5408\u7ed3\u6784\u57df\u5177\u6709\u76f8\u4f3c\u7684\u7ed3\u6784\u3002\u901a\u8fc7\u7ed3\u6784\u68c0\u6d4b\u8fdc\u8ddd\u79bb\u76f8\u4f3c\u6027\u7684\u80fd\u529b\u53ef\u4ee5\u4e3a\u529f\u80fd\u7814\u7a76\u63d0\u4f9b\u65b0\u7684\u89c1\u89e3\uff0c\u800c\u8fd9\u4e9b\u89c1\u89e3\u4ece\u5e8f\u5217\u4e2d\u662f\u5f97\u4e0d\u5230\u7684\u3002<\/span><\/section>\n

<\/span><\/section>\n
\u6240\u6709\u9884\u6d4b\u7684\u7ed3\u6784\u53ef\u4ee5\u901a\u8fc7ESM Metagenomic Atlas<\/span> (https:\/\/esmatlas.com) <\/span>\u83b7\u53d6\u3002\u901a\u8fc7API\u53ef\u4ee5\u6279\u91cf\u4e0b\u8f7d\u7ed3\u6784\uff0c\u53ef\u4ee5\u901a\u8fc7\u7ed3\u6784\u548c\u5e8f\u5217\u8fdb\u884c\u5728\u7ebf\u641c\u7d22\u3002<\/span><\/section>\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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AI+Science \u662f\u8fd1\u5e74\u5174\u8d77\u7684\u5c06\u4eba\u5de5\u667a\u80fd\u548c\u79d1\u5b66\u76f8\u7ed3\u5408\u7684\u4e00\u79cd\u8d8b\u52bf\u3002\u4e00\u65b9\u9762\u662f AI for Science\uff0c\u673a\u5668\u5b66\u4e60\u548c\u5176\u4ed6 AI \u6280\u672f\u53ef\u4ee5\u7528\u6765\u89e3\u51b3\u79d1\u5b66\u7814\u7a76\u4e2d\u7684\u95ee\u9898\uff0c\u4ece\u9884\u6d4b\u5929\u6c14\u548c\u86cb\u767d\u8d28\u7ed3\u6784\uff0c\u5230\u6a21\u62df\u661f\u7cfb\u78b0\u649e\u3001\u8bbe\u8ba1\u4f18\u5316\u6838\u805a\u53d8\u53cd\u5e94\u5806\uff0c\u751a\u81f3\u50cf\u79d1\u5b66\u5bb6\u4e00\u6837\u8fdb\u884c\u79d1\u5b66\u53d1\u73b0\uff0c\u88ab\u79f0\u4e3a\u79d1\u5b66\u53d1\u73b0\u7684\u201c\u7b2c\u4e94\u8303\u5f0f\u201d\u3002\u53e6\u4e00\u65b9\u9762\u662f Science for AI\uff0c\u79d1\u5b66\u5c24\u5176\u662f\u7269\u7406\u5b66\u4e2d\u7684\u89c4\u5f8b\u548c\u601d\u60f3\u542f\u53d1\u673a\u5668\u5b66\u4e60\u7406\u8bba\uff0c\u4e3a\u4eba\u5de5\u667a\u80fd\u7684\u53d1\u5c55\u63d0\u4f9b\u5168\u65b0\u7684\u89c6\u89d2\u548c\u65b9\u6cd5\u3002<\/span><\/section>\n

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\u96c6\u667a\u4ff1\u4e50\u90e8\u8054\u5408\u65af\u5766\u798f\u5927\u5b66\u8ba1\u7b97\u673a\u79d1\u5b66\u7cfb\u535a\u58eb\u540e\u7814\u7a76\u5458\u5434\u6cf0\u9716\uff08Jure Leskovec \u6559\u6388\u6307\u5bfc\uff09\u3001\u54c8\u4f5b\u91cf\u5b50\u8ba1\u5212\u7814\u7a76\u5458\u6248\u9e3f\u4e1a\u3001\u9ebb\u7701\u7406\u5de5\u5b66\u9662\u7269\u7406\u7cfb\u535a\u58eb\u751f\u5218\u5b50\u9e23\uff08Max Tegmark \u6559\u6388\u6307\u5bfc\uff09\uff0c\u5171\u540c\u53d1\u8d77\u4ee5\u201cAI+Science<\/a>\u201d\u4e3a\u4e3b\u9898\u7684\u8bfb\u4e66\u4f1a\uff0c\u63a2\u8ba8\u8be5\u9886\u57df\u7684\u91cd\u8981\u95ee\u9898\uff0c\u5171\u5b66\u5171\u7814\u76f8\u5173\u6587\u732e\u3002\u8bfb\u4e66\u4f1a\u4ece2023\u5e743\u670826\u65e5\u5f00\u59cb\uff0c\u6bcf\u5468\u65e5\u65e9\u4e0a 9:00-11:00 \u7ebf\u4e0a\u4e3e\u884c\uff0c\u6301\u7eed\u65f6\u95f4\u9884\u8ba110\u5468\u3002\u6b22\u8fce\u5bf9\u63a2\u7d22\u8fd9\u4e2a\u6fc0\u52a8\u4eba\u5fc3\u7684\u524d\u6cbf\u9886\u57df\u6709\u5174\u8da3\u7684\u670b\u53cb\u62a5\u540d\u53c2\u4e0e\u3002<\/span><\/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>
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\u201c\u540eChatGPT\u201d\u8bfb\u4e66\u4f1a\u542f\u52a8<\/strong><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

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2022\u5e7411\u670830\u65e5\uff0c\u4e00\u4e2a\u73b0\u8c61\u7ea7\u5e94\u7528\u7a0b\u5e8f\u8bde\u751f\u4e8e\u4e92\u8054\u7f51\uff0c\u8fd9\u5c31\u662fOpenAI\u5f00\u53d1\u7684ChatGPT\u3002\u4ece\u95ee\u7b54\u5230\u5199\u7a0b\u5e8f\uff0c\u4ece\u63d0\u53d6\u6458\u8981\u5230\u8bba\u6587\u5199\u4f5c\uff0cChatGPT\u5c55\u73b0\u51fa\u4e86\u591a\u6837\u5316\u7684\u901a\u7528\u667a\u80fd\u3002\u4e8e\u662f\uff0c\u5fae\u8f6f\u3001\u8c37\u6b4c\u3001\u767e\u5ea6\u3001\u963f\u91cc\u3001\u8baf\u98de\uff0c\u4e92\u8054\u7f51\u5927\u4f6c\u4eec\u7eb7\u7eb7\u6469\u62f3\u64e6\u638c\u51c6\u5907\u5165\u573a\u2026\u2026\u4f46\u662f\uff0c\u8bf7\u5148\u51b7\u9759\u4e00\u4e0b\u2026\u2026 \u73b0\u5728 all in \u5927\u8bed\u8a00\u6a21\u578b\u662f\u5426\u771f\u7684\u5408\u9002\uff1f\u8981\u77e5\u9053\uff0cChatGPT\u7684\u80cc\u540e\u5176\u5b9e\u5c31\u662f\u6df1\u5ea6\u5b66\u4e60+\u5927\u6570\u636e+\u5927\u6a21\u578b\uff0c\u800c\u8fd9\u4e9b\u8981\u7d20\u65e9\u57285\u5e74\u524d\u7684AlphaGo\u65f6\u671f\u5c31\u5df2\u7ecf\u5f00\u59cb\u706b\u70ed\u4e86\u30025\u5e74\u524d\u6ca1\u6709\u6293\u4f4f\u673a\u9047\uff0c\u73b0\u5728\u53c8\u51ed\u4ec0\u4e48\u53ef\u4ee5\u642d\u4e0a\u5927\u8bed\u8a00\u6a21\u578b\u8fd9\u8d9f\u5217\u8f66\u5462\uff1f<\/span><\/section>\n

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\u96c6\u667a\u4ff1\u4e50\u90e8\u7279\u522b\u7ec4\u7ec7\u201c\u540e ChatGPT\u201d\u8bfb\u4e66\u4f1a<\/a>\uff0c\u7531\u5317\u5e08\u5927\u6559\u6388\u3001\u96c6\u667a\u4ff1\u4e50\u90e8\u521b\u59cb\u4eba\u5f20\u6c5f\u8001\u5e08\u8054\u5408\u8096\u8fbe\u3001\u674e\u5ae3\u7136\u3001\u5d14\u9e4f\u3001\u4faf\u6708\u6e90\u3001\u949f\u7ff0\u5ef7\u3001\u5362\u71da\u7b49\u591a\u4f4d\u8001\u5e08\u5171\u540c\u53d1\u8d77\uff0c\u65e8\u5728\u7cfb\u7edf\u6027\u5730\u68b3\u7406ChatGPT\u6280\u672f\uff0c\u5e76\u53d1\u73b0\u5176\u5f31\u70b9\u4e0e\u77ed\u677f\u3002\u672c\u7cfb\u5217\u8bfb\u4e66\u4f1a\u7ebf\u4e0a\u8fdb\u884c\uff0c2023\u5e743\u67083\u65e5\u5f00\u59cb\uff0c\u6bcf\u5468\u4e94\u665a\uff0c\u6b22\u8fce\u62a5\u540d\u4ea4\u6d41\u3002<\/span><\/section>\n


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\u8be6\u60c5\u8bf7\u89c1\uff1a<\/span><\/section>\n
\u201c\u540e ChatGPT\u201d\u8bfb\u4e66\u4f1a\u542f\u52a8\uff1a\u4ece\u901a\u7528\u4eba\u5de5\u667a\u80fd\u5230\u610f\u8bc6\u673a\u5668<\/a><\/section>\n

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\u62a5\u540d\u94fe\u63a5\uff1a<\/span><\/section>\n
https:\/\/pattern.swarma.org\/study_group\/23?from=wechat<\/span><\/section>\n

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

1. <\/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><\/span><\/section>\n
2.<\/strong> <\/strong>AI\u4f55\u4ee5\u6d8c\u73b0\uff1a\u590d\u6742\u9002\u5e94\u7cfb\u7edf\u89c6\u89d2\u7684ChatGPT\u548c\u5927\u8bed\u8a00\u6a21\u578b<\/a><\/strong><\/span><\/strong><\/section>\n
3. <\/strong><\/strong>\u7406\u89e3\u5927\u8bed\u8a00\u6a21\u578b\u2014\u201410\u7bc7\u8bba\u6587\u7684\u7b80\u660e\u6e05\u5355<\/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>\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\u540dAI+Science\u8bfb\u4e66\u4f1a<\/span><\/strong><\/section>\n

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