{"id":64175,"date":"2025-09-04T21:41:43","date_gmt":"2025-09-04T13:41:43","guid":{"rendered":"https:\/\/swarma.org\/?p=64175"},"modified":"2025-09-04T21:41:43","modified_gmt":"2025-09-04T13:41:43","slug":"nature%e5%ad%90%e5%88%8a%e5%a4%9a%e7%af%87%e6%96%87%e7%ab%a0%e9%80%9f%e8%a7%88-%e5%a4%a7%e6%a8%a1%e5%9e%8b%e8%b5%8b%e8%83%bd%e7%9a%84%e7%a7%91%e5%ad%a6%e5%8f%91%e7%8e%b0","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=64175","title":{"rendered":"Nature\u5b50\u520a\u591a\u7bc7\u6587\u7ae0\u901f\u89c8: \u5927\u6a21\u578b\u8d4b\u80fd\u7684\u79d1\u5b66\u53d1\u73b0"},"content":{"rendered":"
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\u4e0e\u6b64\u540c\u65f6\uff0c\u79d1\u5b66\u5927\u8bed\u8a00\u6a21\u578b\u4e5f\u5728\u5411\u201c\u53ef\u89e3\u91ca\u79d1\u5b66\u53d1\u73b0\u201d\u8fc8\u8fdb\uff1aLLM4SD\u6316\u6398\u6587\u732e\u4e0e\u5206\u5b50\u6570\u636e\u7684\u7b26\u53f7\u903b\u8f91\uff0c\u7528\u89c4\u5219\u9a71\u52a8\u5206\u5b50\u6027\u8d28\u5efa\u6a21\uff1bPandemicLLM\u5219\u5c06\u75ab\u60c5\u9884\u6d4b\u91cd\u6784\u4e3a\u6587\u672c\u63a8\u7406\u4efb\u52a1\uff0c\u878d\u5408\u653f\u7b56\u3001\u884c\u4e3a\u3001\u57fa\u56e0\u7b49\u975e\u7ed3\u6784\u4fe1\u606f\u5b9e\u73b0\u9ad8\u7cbe\u5ea6\u9884\u6d4b\uff1bSciToolAgent\u5219\u57fa\u4e8e\u77e5\u8bc6\u56fe\u8c31\u81ea\u52a8\u7f16\u6392\u6570\u767e\u79cd\u79d1\u5b66\u5de5\u5177\uff0c\u91cd\u5851\u591a\u5de5\u5177\u79d1\u5b66\u5de5\u4f5c\u6d41\u7684\u4ea4\u4e92\u8303\u5f0f\u3002\u8fd9\u4e9b\u7814\u7a76\u5171\u540c\u63ed\u793a\u4e86\u4e00\u4e2a\u8d8b\u52bf\uff1a\u5927\u8bed\u8a00\u6a21\u578b\u4e0d\u4ec5\u80fd\u201c\u8bf4\u51fa\u79d1\u5b66\u201d\uff0c\u66f4\u6b63\u5728\u201c\u751f\u6210\u79d1\u5b66\u201d\u4e0e\u201c\u53d1\u73b0\u79d1\u5b66\u201d\uff0cAI for Science \u6b63\u8fce\u6765\u4ece\u201c\u8de8\u6a21\u6001\u8868\u5f81\u201d\u5230\u201c\u8de8\u5b66\u79d1\u63a8\u7406\u201d\u7684\u7cfb\u7edf\u8dc3\u8fc1\u3002<\/span><\/span><\/p>\n


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\u7814\u7a76\u9886\u57df\uff1a<\/span>\u5927\u8bed\u8a00\u6a21\u578b\uff0c\u5206\u5b50\u7f51\u7edc\uff0c\u86cb\u767d\u8d28\u5408\u6210\uff0c\u591a\u667a\u80fd\u4f53\uff0c\u75ab\u60c5\u9884\u6d4b<\/span><\/span><\/strong><\/strong><\/strong><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

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\u8bba\u6587\u4e00\uff1a<\/span>\u57fa\u4e8e\u81ea\u56de\u5f52\u5927\u6a21\u578b\u7684\u6676\u4f53\u7ed3\u6784\u751f\u6210<\/span>
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\u8bba\u6587\u9898\u76ee\uff1aCrystal structure generation with autoregressive large language modeling<\/span><\/span><\/span><\/span><\/p>\n

\u57fa\u4e8e\u81ea\u56de\u5f52\u5927\u6a21\u578b\u7684\u6676\u4f53\u7ed3\u6784\u751f\u6210<\/span><\/span><\/span><\/span><\/p>\n

\u8bba\u6587\u6765\u6e90\uff1aNature Communications<\/span><\/span><\/span><\/p>\n

\u8bba\u6587\u94fe\u63a5\uff1a<\/span><\/span>https:\/\/www.nature.com\/articles\/s41467-024-54639-7<\/span><\/span><\/span><\/p>\n

\u4ee3\u7801\u94fe\u63a5\uff1a<\/span><\/span><\/span>https:\/\/github.com\/lantunes\/CrystaLLM<\/span><\/span><\/span><\/span><\/span><\/p>\n

\u4e00\u4f5c\u5355\u4f4d\uff1a<\/span>University of Reading\uff0cUK<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/p>\n


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\u8bba\u6587\u9898\u76ee\uff1aA text-guided protein design framework<\/span><\/span><\/span><\/span><\/p>\n

\u57fa\u4e8e\u6587\u672c\u6570\u636e\u8fdb\u884c\u86cb\u767d\u8d28\u8bbe\u8ba1\u7684\u591a\u6a21\u6001\u6846\u67b6<\/span><\/span><\/span><\/span><\/p>\n

\u8bba\u6587\u6765\u6e90\uff1aNature Machine Intelligence<\/span><\/span><\/span><\/p>\n

\u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/www.nature.com\/articles\/s42256-025-01011-z<\/span><\/span><\/span><\/p>\n

\u4ee3\u7801\u94fe\u63a5\uff1a<\/span><\/span>https:\/\/github.com\/chao1224\/ProteinDT<\/span><\/span><\/span><\/span><\/p>\n

\u4e00\u4f5c\u5355\u4f4d<\/span><\/span>\uff1aUniversity of California Berkeley, USA<\/span><\/span><\/p>\n<\/section>\n<\/section>\n


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\u6458\u8981\uff1a\u76ee\u524d\u7684\u4eba\u5de5\u667a\u80fd\u8f85\u52a9\u86cb\u767d\u8d28\u8bbe\u8ba1\u4e3b\u8981\u5229\u7528\u86cb\u767d\u8d28\u987a\u5e8f\u548c\u7ed3\u6784\u4fe1\u606f\u3002\u540c\u65f6\uff0c\u4eba\u7c7b\u4ee5\u6587\u672c\u683c\u5f0f\u6536\u96c6\u4e86\u5927\u91cf\u63cf\u8ff0\u86cb\u767d\u8d28\u9ad8\u7ea7\u529f\u80fd\u7684\u77e5\u8bc6\uff0c\u4f46\u5c1a\u672a\u63a2\u7d22\u8fd9\u4e9b\u6587\u672c\u6570\u636e\u7684\u7ed3\u5408\u662f\u5426\u6709\u52a9\u4e8e\u86cb\u767d\u8d28\u8bbe\u8ba1\u4efb\u52a1\u3002\u4e3a\u4e86\u5f25\u5408\u8fd9\u4e00\u5dee\u8ddd\uff0c\u6211\u4eec<\/span>\u63d0\u51fa\u4e86 ProteinDT\uff0c\u8fd9\u662f\u4e00\u4e2a\u5229\u7528\u6587\u672c\u63cf\u8ff0\u8fdb\u884c\u86cb\u767d\u8d28\u8bbe\u8ba1\u7684\u591a\u6a21\u6001\u6846\u67b6<\/span>\u3002ProteinDT \u7531\u4e09\u4e2a\u8fde\u7eed\u7684\u6b65\u9aa4\u7ec4\u6210\uff1aProteinCLAP\uff0c\u5b83\u5bf9\u9f50\u4e24\u79cd\u6a21\u6001\u7684\u8868\u793a\uff0c\u4e00\u4e2a\u4ece\u6587\u672c\u6a21\u6001\u751f\u6210\u86cb\u767d\u8d28\u8868\u793a\u7684\u4fc3\u8fdb\u5668\uff0c\u4ee5\u53ca\u4e00\u4e2a\u4ece\u8868\u793a\u521b\u5efa\u86cb\u767d\u8d28\u5e8f\u5217\u7684\u89e3\u7801\u5668\u3002\u4e3a\u4e86\u8bad\u7ec3 ProteinDT\uff0c\u6211\u4eec\u6784\u5efa\u4e86\u4e00\u4e2a\u5927\u578b\u6570\u636e\u96c6 SwissProtCLAP\uff0c\u5176\u4e2d\u5305\u542b 441,000 \u4e2a\u6587\u672c\u548c\u86cb\u767d\u8d28\u5bf9\u3002\u6211\u4eec\u5b9a\u91cf\u9a8c\u8bc1\u4e86 ProteinDT \u5728\u4e09\u9879\u5177\u6709\u6311\u6218\u6027\u7684\u4efb\u52a1\u4e2d\u7684\u6709\u6548\u6027\uff1a\uff081\uff09 \u6587\u672c\u5f15\u5bfc\u86cb\u767d\u8d28\u751f\u6210\u7684\u51c6\u786e\u7387\u8d85\u8fc7 90%;\uff082\uff0912\u4e2a\u96f6\u6837\u672c\u6587\u672c\u5f15\u5bfc\u86cb\u767d\u8d28\u7f16\u8f91\u4efb\u52a1\u7684\u6700\u4f73\u547d\u4e2d\u7387;\uff083\uff09 \u5728\u516d\u5206\u4e4b\u56db\u7684\u86cb\u767d\u8d28\u7279\u6027\u9884\u6d4b\u57fa\u51c6\u4e0a\u8868\u73b0\u51fa\u8272\u3002<\/span><\/span><\/section>\n


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<\/section>\n
\u6838\u5fc3\u56fe\uff1aProteinDT \u9884\u8bad\u7ec3\u6846\u67b6\u4e0e\u4e0b\u6e38\u4efb\u52a1\u7684\u6d41\u7a0b\uff08a\u2013c \u4e3a\u9884\u8bad\u7ec3\uff0cd\u2013f \u4e3a\u4e0b\u6e38\u4efb\u52a1\uff09\u3002(a) <\/span><\/span><\/strong>ProteinCLAP<\/span><\/span><\/strong>\uff1a\u4e00\u79cd\u5bf9\u6bd4\u5b66\u4e60\u8303\u5f0f\uff0c\u7528\u4e8e\u5bf9\u9f50\u6587\u672c\u6a21\u6001\u4e0e\u86cb\u767d\u8d28\u5e8f\u5217\u6a21\u6001\u7684\u8868\u793a\u7a7a\u95f4\u3002(b) <\/span><\/span>ProteinFacilitator \u6a21\u578b<\/span><\/span><\/strong>\uff1a\u589e\u5f3a\u4ece\u6587\u672c\u5e8f\u5217\u8868\u793a\u5230\u86cb\u767d\u8d28\u5e8f\u5217\u8868\u793a\u7684\u6620\u5c04\u80fd\u529b\u3002(c) <\/span><\/span>\u86cb\u767d\u8d28\u5e8f\u5217\u89e3\u7801\u5668<\/span><\/span><\/strong>\uff1a\u57fa\u4e8e\u524d\u4e00\u6b65\u751f\u6210\u7684\u8868\u793a\u6765\u751f\u6210\u86cb\u767d\u8d28\u5e8f\u5217\u3002(d) <\/span><\/span>\u4e0b\u6e38\u4efb\u52a1\uff1a\u6587\u672c\u5230\u86cb\u767d\u8d28\u7684\u751f\u6210<\/span><\/span><\/strong>\u3002(e) <\/span><\/span>\u4e0b\u6e38\u4efb\u52a1\uff1a\u6587\u672c\u5f15\u5bfc\u7684\u86cb\u767d\u8d28\u7f16\u8f91<\/span><\/span><\/strong>\u3002(f) <\/span><\/span>\u4e0b\u6e38\u4efb\u52a1\uff1a\u86cb\u767d\u8d28\u6027\u8d28\u9884\u6d4b<\/span><\/span><\/strong>\u3002<\/span><\/span><\/section>\n

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\u8bba\u6587\u4e09\uff1a\u7528\u4e8e\u5206\u5b50\u6027\u8d28\u9884\u6d4b\u7684\u79d1\u5b66\u53d1\u73b0\u5927\u6a21\u578b<\/span><\/strong><\/span><\/strong><\/strong><\/p>\n<\/section>\n

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<\/span><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/h3>\n
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<\/span><\/span><\/span><\/p>\n

\u8bba\u6587\u9898\u76ee\uff1aLarge language models for scientific discovery in molecular property prediction<\/span><\/span><\/span><\/span><\/p>\n

\u7528\u4e8e\u5206\u5b50\u6027\u8d28\u9884\u6d4b\u7684\u79d1\u5b66\u53d1\u73b0\u5927\u6a21\u578b<\/span><\/span><\/span><\/span><\/p>\n

\u8bba\u6587\u6765\u6e90\uff1aNature Machine Intelligence<\/span><\/span><\/span><\/p>\n

\u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/www.nature.com\/articles\/s42256-025-00994-z<\/span><\/span><\/span><\/p>\n

\u4ee3\u7801\u94fe\u63a5\uff1ahttps:\/\/github.com\/zyzisastudyreallyhardguy\/LLM4SD<\/span><\/span><\/span><\/span><\/p>\n

\u4e00\u4f5c\u5355\u4f4d<\/span><\/span>\uff1a<\/span><\/span>Monash University\uff0cAustralia<\/span><\/span><\/span><\/span><\/span><\/p>\n<\/section>\n<\/section>\n


<\/span><\/section>\n<\/section>\n<\/section>\n
<\/section>\n
\u6458\u8981\uff1a\u5927\u8bed\u8a00\u6a21\u578b\uff08LLM\uff09\u662f\u4e00\u79cd\u4eba\u5de5\u667a\u80fd\u7cfb\u7edf\uff0c\u4ee5\u81ea\u7136\u8bed\u8a00\u7684\u5f62\u5f0f\u5c01\u88c5\u4e86\u5927\u91cf\u77e5\u8bc6\u3002\u8fd9\u4e9b\u7cfb\u7edf\u64c5\u957f\u8bb8\u591a\u590d\u6742\u7684\u4efb\u52a1\uff0c\u5305\u62ec\u521b\u610f\u5199\u4f5c\u3001\u8bb2\u6545\u4e8b\u3001\u7ffb\u8bd1\u3001\u95ee\u7b54\u3001\u6458\u8981\u548c\u8ba1\u7b97\u673a\u4ee3\u7801\u751f\u6210\u3002\u5c3d\u7ba1\u5927\u8bed\u8a00\u6a21\u578b\u5728\u81ea\u7136\u79d1\u5b66\u4e2d\u5df2\u7ecf\u5f97\u5230\u4e86\u521d\u6b65\u5e94\u7528\uff0c\u4f46\u5b83\u4eec\u5728\u63a8\u52a8\u79d1\u5b66\u53d1\u73b0\u65b9\u9762\u7684\u6f5c\u529b\u5728\u5f88\u5927\u7a0b\u5ea6\u4e0a\u4ecd\u672a\u88ab\u63a2\u7d22\u3002\u5728\u8fd9\u9879\u5de5\u4f5c\u4e2d\uff0c<\/span>\u6211\u4eec\u4ecb\u7ecd\u4e86LLM4SD\uff0c\u8fd9\u662f\u4e00\u4e2a\u65e8\u5728\u5229\u7528LLM\u901a\u8fc7\u7efc\u5408\u6587\u732e\u77e5\u8bc6\u548c\u4ece\u79d1\u5b66\u6570\u636e\u4e2d\u63a8\u65ad\u77e5\u8bc6\u6765\u63a8\u52a8\u5206\u5b50\u6027\u8d28\u9884\u6d4b\u7684\u79d1\u5b66\u53d1\u73b0\u7684\u6846\u67b6\u3002<\/span>\u5927\u8bed\u8a00\u6a21\u578b\u901a\u8fc7\u4ece\u79d1\u5b66\u6587\u732e\u4e2d\u63d0\u53d6\u65e2\u5b9a\u4fe1\u606f\u6765\u7efc\u5408\u77e5\u8bc6\uff0c\u4f8b\u5982\u5206\u5b50\u91cf\u662f\u9884\u6d4b\u6eb6\u89e3\u5ea6\u7684\u5173\u952e\u3002\u5bf9\u4e8e\u63a8\u7406\uff0cLLM \u53ef\u4ee5\u8bc6\u522b\u5206\u5b50\u6570\u636e\u4e2d\u7684\u6a21\u5f0f\uff0c\u7279\u522b\u662f\u5728\u7b80\u5316\u7684\u5206\u5b50\u8f93\u5165\u7ebf\u8f93\u5165\u7cfb\u7edf\u7f16\u7801\u7684\u7ed3\u6784\u4e2d\uff0c\u4f8b\u5982\u542b\u5364\u7d20\u5206\u5b50\u66f4\u6709\u53ef\u80fd\u7a7f\u8fc7\u8840\u8111\u5c4f\u969c\u3002\u8fd9\u4e9b\u4fe1\u606f\u4ee5\u53ef\u89e3\u91ca\u7684\u77e5\u8bc6\u7684\u5f62\u5f0f\u5448\u73b0\uff0c\u4f7f\u5206\u5b50\u80fd\u591f\u8f6c\u5316\u4e3a\u7279\u5f81\u5411\u91cf\u3002\u901a\u8fc7\u5c06\u8fd9\u4e9b\u529f\u80fd\u4e0e\u968f\u673a\u68ee\u6797\u7b49\u53ef\u89e3\u91ca\u6a21\u578b\u4e00\u8d77\u4f7f\u7528\uff0cLLM4SD \u53ef\u4ee5\u5728\u4e00\u7cfb\u5217\u9884\u6d4b\u5206\u5b50\u7279\u6027\u7684\u57fa\u51c6\u4efb\u52a1\u4e2d\u8d85\u8d8a\u5f53\u524d\u6700\u5148\u8fdb\u7684\u6280\u672f\u3002\u6211\u4eec\u9884\u8ba1\u5b83\u5c06\u63d0\u4f9b\u53ef\u89e3\u91ca\u7684\u548c\u6f5c\u5728\u7684\u65b0\u89c1\u89e3\uff0c\u6709\u52a9\u4e8e\u5206\u5b50\u6027\u8d28\u9884\u6d4b\u7684\u79d1\u5b66\u53d1\u73b0\u3002<\/span><\/span><\/section>\n

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\u6838\u5fc3\u56fe\uff1a\u7528\u4e8e\u5206\u5b50\u6027\u8d28\u9884\u6d4b\u7684LLM4SD\u5927\u6a21\u578b\u7684\u5de5\u4f5c\u6d41\u3002\u4ece\u6587\u732e\u4e2d\u7efc\u5408\u77e5\u8bc6\u3002\u5728\u6b64\u9636\u6bb5\uff0c\u5927\u8bed\u8a00\u6a21\u578b\u6839\u636e\u9884\u8bad\u7ec3\u7684\u6587\u732e\u7efc\u5408\u77e5\u8bc6\uff0c\u4ee5\u6267\u884c\u9884\u6d4b BBBP \u7b49\u4efb\u52a1\u3002\u4f8b\u5982\uff0c\u5206\u5b50\u91cf\u4f4e\u4e8e 500 Da \u7684\u5206\u5b50\u66f4\u6709\u53ef\u80fd\u901a\u8fc7\u8840\u8111\u5c4f\u969c\u3002<\/span><\/span>b<\/span><\/span><\/b>\uff0c\u4ece\u6570\u636e\u4e2d\u63a8\u65ad\u77e5\u8bc6\u3002\u5728\u8fd9\u91cc\uff0c<\/span><\/span>\u5927\u8bed\u8a00\u6a21\u578b<\/span><\/span><\/span>\u5206\u6790\u6570\u636e\uff0c\u4f8b\u5982\u5e26\u6709\u6807\u7b7e\u7684 SMILES \u5b57\u7b26\u4e32\uff081 \u8868\u793a BBB \u6e17\u900f\u6027\uff0c0 \u8868\u793a\u975e BBB \u6e17\u900f\u6027\uff09\uff0c\u4ee5\u8bc6\u522b\u6a21\u5f0f\u3002\u4f8b\u5982\uff0c\u4ed6\u4eec\u53ef\u80fd\u4f1a\u89c2\u5bdf\u5230\u542b\u6709\u5364\u7d20\u7684\u5206\u5b50\u6709\u66f4\u9ad8\u7684\u673a\u4f1a\u7a7f\u8fc7\u8840\u8111\u5c4f\u969c\u3002<\/span><\/span>c<\/span><\/span><\/b>\u3001\u6a21\u578b\u8bad\u7ec3\u3002\u901a\u8fc7\u5408\u6210\u548c\u63a8\u65ad\u89c4\u5219\uff0c\u5206\u5b50\u53ef\u4ee5\u6839\u636e\u5176\u76f8\u5e94\u7684\u89c4\u5219\u503c\u8f6c\u6362\u4e3a\u8f7d\u4f53\u8868\u793a\u3002\u7136\u540e\uff0c\u77e2\u91cf\u5316\u8868\u793a\u53ef\u7528\u4e8e\u8bad\u7ec3\u53ef\u89e3\u91ca\u6a21\u578b\u3002<\/span><\/span>d<\/span><\/span><\/b>\uff0c\u53ef\u89e3\u91ca\u7684\u89c1\u89e3\u3002\u6a21\u578b\u7ecf\u8fc7\u8bad\u7ec3\u540e\uff0c\u5b83\u4f1a\u63d0\u4f9b\u89e3\u91ca\u5176\u5982\u4f55\u8fdb\u884c\u9884\u6d4b\u7684\u89c1\u89e3\u3002\u4f8b\u5982\uff0c\u5728 BBBP \u9884\u6d4b\u7684\u80cc\u666f\u4e0b\uff0c\u6a21\u578b\u53ef\u4ee5\u63ed\u793a\u6bcf\u4e2a\u89c4\u5219\u7684\u91cd\u8981\u6027\uff0c\u663e\u793a\u54ea\u4e9b\u89c4\u5219\u5bf9\u6700\u7ec8\u9884\u6d4b\u5f88\u91cd\u8981\u3002<\/span><\/span><\/span>
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\u8bba\u6587\u56db\uff1a\u77e5\u8bc6\u56fe\u8c31\u9a71\u52a8\u7684\u591a\u5de5\u5177\u96c6\u6210\u79d1\u5b66\u667a\u80fd\u4f53<\/span><\/strong><\/span><\/strong><\/strong><\/p>\n<\/section>\n

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\u8bba\u6587\u9898\u76ee\uff1aSciToolAgent: a knowledge-graph-driven scientific agent for multitool integration<\/span><\/span><\/span><\/span><\/p>\n

\u77e5\u8bc6\u56fe\u8c31\u9a71\u52a8\u7684\u591a\u5de5\u5177\u96c6\u6210\u79d1\u5b66\u667a\u80fd\u4f53<\/span><\/span><\/span><\/span><\/p>\n

\u8bba\u6587\u6765\u6e90\uff1aNature Computational Science <\/span><\/span><\/span><\/p>\n

\u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/www.nature.com\/articles\/s43588-025-00849-y<\/span><\/span><\/span><\/p>\n

\u4ee3\u7801\u94fe\u63a5\uff1ahttps:\/\/github.com\/hicai-zju\/scitoolagent<\/span><\/span><\/span><\/span><\/p>\n

\u4e00\u4f5c\u5355\u4f4d<\/span><\/span>\uff1a<\/span><\/span>Zhejiang University, China<\/span><\/span><\/span><\/span><\/span><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


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\u6458\u8981\uff1a<\/span><\/span>\u79d1\u5b66\u7814\u7a76\u8d8a\u6765\u8d8a\u4f9d\u8d56\u4e13\u95e8\u7684\u8ba1\u7b97\u5de5\u5177\uff0c\u4f46\u6709\u6548\u5229\u7528\u8fd9\u4e9b\u5de5\u5177\u9700\u8981\u5927\u91cf\u7684\u9886\u57df\u4e13\u4e1a\u77e5\u8bc6\u3002\u867d\u7136\u5927\u8bed\u8a00\u6a21\u578b\u5728\u5de5\u5177\u81ea\u52a8\u5316\u65b9\u9762\u663e\u793a\u51fa\u524d\u666f\uff0c\u4f46\u5b83\u4eec\u96be\u4ee5\u65e0\u7f1d\u96c6\u6210\u548c\u7f16\u6392\u591a\u79cd\u5de5\u5177\u4ee5\u5b9e\u73b0\u590d\u6742\u7684\u79d1\u5b66\u5de5\u4f5c\u6d41\u7a0b\u3002\u5728\u8fd9\u91cc\uff0c\u6211\u4eec\u4ecb\u7ecd <\/span>SciToolAgent\uff0c\u8fd9\u662f\u4e00\u79cd\u7531\u5927\u8bed\u8a00\u6a21\u578b\u9a71\u52a8\u7684\u4ee3\u7406\uff0c\u53ef\u81ea\u52a8\u6267\u884c\u751f\u7269\u5b66\u3001\u5316\u5b66\u548c\u6750\u6599\u79d1\u5b66\u9886\u57df\u7684\u6570\u767e\u79cd\u79d1\u5b66\u5de5\u5177<\/span>\u3002SciToolAgent \u7684\u6838\u5fc3\u662f\u5229\u7528\u79d1\u5b66\u7684\u5de5\u5177\u77e5\u8bc6\u56fe\u8c31\uff0c\u901a\u8fc7\u57fa\u4e8e\u56fe\u7684\u68c0\u7d22\u589e\u5f3a\u751f\u6210\u5b9e\u73b0\u667a\u80fd\u5de5\u5177\u9009\u62e9\u548c\u6267\u884c\u3002\u8be5\u4ee3\u7406\u8fd8\u5305\u542b\u4e00\u4e2a\u5168\u9762\u7684\u5b89\u5168\u68c0\u67e5\u6a21\u5757\uff0c\u4ee5\u786e\u4fdd\u8d1f\u8d23\u4efb\u548c\u5408\u4e4e\u9053\u5fb7\u7684\u5de5\u5177\u4f7f\u7528\u3002\u5bf9\u7cbe\u9009\u57fa\u51c6\u7684\u5e7f\u6cdb\u8bc4\u4f30\u8868\u660e\uff0cSciToolAgent \u4f18\u4e8e\u73b0\u6709\u65b9\u6cd5\u3002\u86cb\u767d\u8d28\u5de5\u7a0b\u3001\u5316\u5b66\u53cd\u5e94\u6027\u9884\u6d4b\u3001\u5316\u5b66\u5408\u6210\u548c\u91d1\u5c5e\u6709\u673a\u6846\u67b6\u7b5b\u9009\u65b9\u9762\u7684\u6848\u4f8b\u7814\u7a76\u8fdb\u4e00\u6b65\u8bc1\u660e\u4e86 SciToolAgent \u81ea\u52a8\u5316\u590d\u6742\u79d1\u5b66\u5de5\u4f5c\u6d41\u7a0b\u7684\u80fd\u529b\uff0c\u4f7f\u4e13\u5bb6\u548c\u975e\u4e13\u5bb6\u90fd\u53ef\u4ee5\u4f7f\u7528\u5148\u8fdb\u7684\u7814\u7a76\u5de5\u5177\u3002<\/span><\/span><\/span><\/span><\/section>\n
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\u6838\u5fc3\u56fe\uff1aSciToolAgent \u6982\u89c8\u3002(a) <\/span><\/span><\/strong>\u7814\u7a76\u4e2d\u4f7f\u7528\u7684\u5de5\u5177\u96c6<\/span><\/span><\/strong>\uff0c\u5176\u4e2d\u5305\u62ec\u901a\u7528\u5de5\u5177\u4ee5\u53ca\u5e38\u7528\u7684\u751f\u7269\u5b66\u3001\u5316\u5b66\u548c\u6750\u6599\u76f8\u5173\u5de5\u5177\u3002(b) <\/span><\/span>SciToolKG \u7684\u6a21\u5f0f\u67b6\u6784<\/span><\/span><\/strong>\uff0c\u6db5\u76d6\u4e86\u6bcf\u4e2a\u5de5\u5177\u7684\u591a\u6837\u4fe1\u606f\uff0c\u5982\u8f93\u5165\/\u8f93\u51fa\u683c\u5f0f\u3001\u7279\u5b9a\u529f\u80fd\u3001\u5b89\u5168\u7b49\u7ea7\u7b49\u3002(c) <\/span><\/span>SciToolAgent \u7684\u6574\u4f53\u5de5\u4f5c\u6d41\u7a0b<\/span><\/span><\/strong>\uff1a\u5728\u63a5\u6536\u5230\u7528\u6237\u67e5\u8be2\u540e\uff0c\u57fa\u4e8e LLM \u7684 <\/span><\/span>Planner\uff08\u89c4\u5212\u5668\uff09<\/span><\/span><\/strong> \u4f1a\u5229\u7528\u57fa\u4e8e SciToolKG \u7684\u68c0\u7d22\u589e\u5f3a\u751f\u6210\uff08RAG\uff09\u6765\u751f\u6210\u5de5\u5177\u94fe\uff0c\u968f\u540e\u7531\u57fa\u4e8e LLM \u7684 <\/span><\/span>Executor\uff08\u6267\u884c\u5668\uff09<\/span><\/span><\/strong> \u987a\u5e8f\u6267\u884c\u3002\u63a5\u7740\u901a\u8fc7 <\/span><\/span>\u5b89\u5168\u68c0\u67e5\u6a21\u5757<\/span><\/span><\/strong> \u8c03\u7528\u5b89\u5168\u6570\u636e\u5e93\uff0c\u4ee5\u786e\u4fdd\u751f\u6210\u7684\u89e3\u51b3\u65b9\u6848\u7b26\u5408\u4f26\u7406\u4e0e\u5b89\u5168\u8981\u6c42\u3002\u6700\u540e\uff0c\u57fa\u4e8e LLM \u7684 <\/span><\/span>Summarizer\uff08\u603b\u7ed3\u5668\uff09<\/span><\/span><\/strong> \u5bf9\u6267\u884c\u7ed3\u679c\u8fdb\u884c\u603b\u7ed3\uff0c\u8bc4\u4f30\u95ee\u9898\u6c42\u89e3\u8fc7\u7a0b\uff0c\u5e76\u5728\u5fc5\u8981\u65f6\u63d0\u793a Planner \u751f\u6210\u65b0\u7684\u5de5\u5177\u94fe\u3002\u6700\u7ec8\u7b54\u6848\u4f1a\u88ab\u5b58\u50a8\u5230 <\/span><\/span>\u8bb0\u5fc6\u6a21\u5757<\/span><\/span><\/strong> \u4e2d\uff0c\u4f5c\u4e3a\u4e0b\u4e00\u6b21\u67e5\u8be2\u7684\u4e0a\u4e0b\u6587\u3002\uff08arxiv\u7248\u7684\u56fe\uff0c\u5bf9\u6bd4\u4e86\uff0c\u6ca1\u4ec0\u4e48\u51fa\u5165\uff09<\/span><\/span><\/p>\n


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\u8bba\u6587\u4e94\uff1a\u57fa\u4e8e\u5927\u8bed\u8a00\u6a21\u578b\u7684\u5206\u5b50\u5316\u836f\u7269\u8bbe\u8ba1<\/span><\/strong><\/span><\/strong><\/strong><\/p>\n<\/section>\n

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\u8bba\u6587\u9898\u76ee\uff1aToken-Mol 1.0: tokenized drug design with large language models<\/span><\/span><\/span><\/span><\/p>\n

\u57fa\u4e8e\u5927\u8bed\u8a00\u6a21\u578b\u7684\u5206\u5b50\u5316\u836f\u7269\u8bbe\u8ba1<\/span><\/span><\/span><\/span><\/p>\n

\u8bba\u6587\u6765\u6e90\uff1aNature Communications<\/span><\/span><\/span><\/p>\n

\u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/www.nature.com\/articles\/s41467-025-59628-y<\/span><\/span><\/span><\/p>\n

\u4ee3\u7801\u94fe\u63a5\uff1ahttps:\/\/github.com\/hicai-zju\/scitoolagent<\/span><\/span><\/span><\/span><\/p>\n

\u4e00\u4f5c\u5355\u4f4d<\/span><\/span>\uff1aZhejiang University, China<\/span><\/span><\/span><\/span><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


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\u6458\u8981\uff1a<\/span><\/span>\u5c06\u5927\u8bed\u8a00\u6a21\u578b \uff08LLM\uff09 \u96c6\u6210\u5230\u836f\u7269\u8bbe\u8ba1\u4e2d\u7684\u52bf\u5934\u6b63\u5728\u589e\u5f3a;\u7136\u800c\uff0c\u73b0\u6709\u65b9\u6cd5\u5f80\u5f80\u96be\u4ee5\u6709\u6548\u5730\u7ed3\u5408\u4e09\u7ef4\u5206\u5b50\u7ed3\u6784\u3002\u5728\u8fd9\u91cc\uff0c\u6211\u4eec<\/span>\u4ecb\u7ecd\u4e86 Token-Mol\uff0c\u8fd9\u662f\u4e00\u79cd\u7eafToken\u7684 3D \u836f\u7269\u8bbe\u8ba1\u6a21\u578b\uff0c\u5b83\u5c06 2D \u548c 3D \u7ed3\u6784\u4fe1\u606f\u4ee5\u53ca\u5206\u5b50\u7279\u6027\u7f16\u7801\u4e3a\u79bb\u6563\u7684\u6807\u8bb0<\/span>\u3002Token-Mol \u57fa\u4e8e Transformer \u89e3\u7801\u5668\u6784\u5efa\u5e76\u4f7f\u7528\u56e0\u679c\u63a9\u853d\u8fdb\u884c\u8bad\u7ec3\uff0c\u5f15\u5165\u4e86\u4e13\u4e3a\u56de\u5f52\u4efb\u52a1\u91cf\u8eab\u5b9a\u5236\u7684\u9ad8\u65af\u4ea4\u53c9\u71b5\u635f\u5931\u51fd\u6570\uff0c\u4ece\u800c\u5728\u591a\u4e2a\u4e0b\u6e38\u5e94\u7528\u7a0b\u5e8f\u4e2d\u5b9e\u73b0\u5353\u8d8a\u7684\u6027\u80fd\u3002\u8be5\u6a21\u578b\u8d85\u8d8a\u4e86\u73b0\u6709\u65b9\u6cd5\uff0c\u5728\u4e24\u4e2a\u6570\u636e\u96c6\u4e2d\u5c06\u5206\u5b50\u6784\u8c61\u751f\u6210\u63d0\u9ad8\u4e86 10% \u548c 20% \u4ee5\u4e0a\uff0c\u540c\u65f6\u5728\u5c5e\u6027\u9884\u6d4b\u65b9\u9762\u6bd4\u7eaf\u6807\u8bb0\u6a21\u578b\u9ad8\u51fa 30%\u3002\u5728\u57fa\u4e8e\u53e3\u888b\u7684\u5206\u5b50\u751f\u6210\u4e2d\uff0c\u5b83\u5206\u522b\u5c06\u836f\u7269\u76f8\u4f3c\u6027\u548c\u5408\u6210\u53ef\u53ca\u6027\u63d0\u9ad8\u4e86\u7ea6 11% \u548c 14%\u3002\u503c\u5f97\u6ce8\u610f\u7684\u662f\uff0cToken-Mol \u7684\u8fd0\u884c\u901f\u5ea6\u662f\u4e13\u5bb6\u6269\u6563\u6a21\u578b\u7684 35 \u500d\u3002\u5728\u73b0\u5b9e\u4e16\u754c\u7684\u9a8c\u8bc1\u4e2d\uff0c\u5b83\u53ef\u4ee5\u63d0\u9ad8\u6210\u529f\u7387\uff0c\u5e76\u4e14\u4e0e\u5f3a\u5316\u5b66\u4e60\u76f8\u7ed3\u5408\uff0c\u8fdb\u4e00\u6b65\u4f18\u5316\u4eb2\u548c\u529b\u548c\u836f\u7269\u76f8\u4f3c\u6027\uff0c\u4ece\u800c\u63a8\u8fdb\u4eba\u5de5\u667a\u80fd\u9a71\u52a8\u7684\u836f\u7269\u53d1\u73b0\u3002<\/span><\/span><\/span><\/span><\/section>\n


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\"Fig.\"Fig.<\/span><\/span><\/p>\n<\/section>\n

\u6838\u5fc3\u56fe\uff1aa. \u6570\u636e\u5904\u7406\u6d41\u7a0b\u3002b. Token-Mol \u7684\u5de5\u4f5c\u6d41\u7a0b\u3002c. GCE \u635f\u5931\u51fd\u6570\u4e2d\u7684\u6743\u91cd\u5206\u914d\uff0c\u5176\u4e2d GT \u8868\u793a\u771f\u5b9e\u6807\u7b7e token\uff08ground truth token\uff09\u3002d. \u57fa\u4e8e\u7ed3\u5408\u53e3\u888b\u7684\u5206\u5b50\u751f\u6210\u6a21\u578b\u4e2d\u7684\u53e3\u888b\u7f16\u7801\u5668\u4e0e\u878d\u5408\u6a21\u5757\u3002<\/span><\/span><\/span><\/section>\n

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\u8bba\u6587\u9898\u76ee\uff1aHarnessing large language models for data-scarce learning of polymer properties<\/span><\/span><\/p>\n

\u6570\u636e\u7a00\u7f3a\u6761\u4ef6\u4e0b\u57fa\u4e8e\u5927\u6a21\u578b\u7684\u805a\u5408\u7269\u6027\u8d28\u5b66\u4e60<\/span><\/span><\/p>\n

\u8bba\u6587\u6765\u6e90\uff1aNature Computational Science<\/span><\/span><\/p>\n

\u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/www.nature.com\/articles\/s43588-025-00768-y<\/span><\/span><\/p>\n

\u4ee3\u7801\u94fe\u63a5\uff1ahttps:\/\/github.com\/ningliu-iga\/TrinityLLM<\/span><\/span><\/p>\n

\u4e00\u4f5c\u5355\u4f4d\uff1aGlobal Engineering and Materials Inc., USA<\/span><\/span><\/p>\n


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\u6458\u8981\uff1a<\/span><\/span>\u5927\u8bed\u8a00\u6a21\u578b \uff08LLM\uff09 \u6709\u671b\u6210\u4e3a\u7528\u4e8e\u8bc4\u4f30\u3001\u5206\u6790\u548c\u8bbe\u8ba1\u7684\u5feb\u901f\u3001\u51c6\u786e\u7684\u6750\u6599\u5efa\u6a21\u8303\u4f8b\u3002\u5b83\u4eec\u5927\u91cf\u7684\u53ef\u8bad\u7ec3\u53c2\u6570\u9700\u8981\u5927\u91cf\u6570\u636e\u6765\u5b9e\u73b0\u51c6\u786e\u6027\u5e76\u51cf\u5c11\u8fc7\u5ea6\u62df\u5408\u3002\u7136\u800c\uff0c\u5b9e\u9a8c\u6d4b\u91cf\u901a\u5e38\u6709\u9650\u4e14\u6210\u672c\u9ad8\u6602\uff0c\u65e0\u6cd5\u83b7\u5f97\u8db3\u591f\u7684\u6570\u91cf\u8fdb\u884c\u5fae\u8c03\u3002\u4e3a\u6b64\uff0c\u6211\u4eec\u5728\u8fd9\u91cc<\/span>\u63d0\u51fa\u4e86\u4e00\u4e2a\u57fa\u4e8e\u7269\u7406\u7684\u8bad\u7ec3\u6846\u67b6\uff0c\u7528\u4e8e\u89e3\u51b3\u6570\u636e\u7a00\u7f3a\u7684\u6838\u5fc3\u95ee\u9898\u3002\u6838\u5fc3\u63a8\u52a8\u5668\u662f\u4e00\u4e2a\u57fa\u4e8e\u7269\u7406\u7684\u5efa\u6a21\u6846\u67b6\uff0c\u5b83\u751f\u6210\u5927\u91cf\u5408\u6210\u6570\u636e\uff0c\u4ee5\u5728\u5fae\u8c03\u4e4b\u524d\u5c06 LLM \u4e0e\u7269\u7406\u4e0a\u4e00\u81f4\u7684\u521d\u59cb\u72b6\u6001\u5bf9\u9f50\u3002<\/span>\u6211\u4eec\u7684\u6846\u67b6\u91c7\u7528\u4e24\u9636\u6bb5\u8bad\u7ec3\u7b56\u7565\uff1a\u5229\u7528\u6570\u91cf\u5927\u4f46\u51c6\u786e\u5ea6\u8f83\u4f4e\u7684\u5408\u6210\u6570\u636e\u8fdb\u884c\u76d1\u7763\u9884\u8bad\u7ec3\uff0c\u5e76\u4f7f\u7528\u6709\u9650\u7684\u5b9e\u9a8c\u6570\u636e\u5fae\u8c03\u7b2c\u4e00\u9636\u6bb5\u6a21\u578b\u3002\u6211\u4eec\u901a\u8fc7\u5b66\u4e60\u805a\u5408\u7269\u53ef\u71c3\u6027\u6307\u6807\u7684\u89c6\u89d2\uff0c\u5728\u9525\u5f62\u91cf\u70ed\u4eea\u6570\u636e\u7a00\u758f\u7684\u60c5\u51b5\u4e0b\uff0c\u901a\u8fc7\u5b66\u4e60\u805a\u5408\u7269\u53ef\u71c3\u6027\u6307\u6807\u7684\u89c6\u89d2\uff0c\u76d1\u7763\u9884\u8bad\u7ec3\u5bf9\u4e8e\u83b7\u5f97\u51c6\u786e\u7684\u5fae\u8c03 LLM \u81f3\u5173\u91cd\u8981\u3002<\/span><\/span><\/span><\/span><\/section>\n


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\u6838\u5fc3\u56fe\uff1a\u6570\u636e\u7a00\u7f3a\u6761\u4ef6\u4e0b\u57fa\u4e8e\u5927\u6a21\u578b\u7684\u805a\u5408\u7269\u6027\u8d28\u5b66\u4e60\u7684\u6838\u5fc3\u6d41\u7a0b\u3002\u7b2c 1 \u81f3 6 \u6b65\u5c55\u793a\u4e86\u5728\u6570\u636e\u6709\u9650\u7684\u60c5\u51b5\u4e0b\uff0c\u91c7\u7528 \u201c\u4e09\u4f4d\u4e00\u4f53\u201d\uff08trinity\uff09\u65b9\u6cd5\u8bad\u7ec3\u5927\u578b\u8bed\u8a00\u6a21\u578b\uff08LLMs\uff09\u7684\u6d41\u7a0b\uff0c\u4e0e\u4e4b\u5bf9\u6bd4\u7684\u662f\u7528\u7070\u8272\u7a81\u51fa\u663e\u793a\u7684\u5f53\u524d\u5e38\u7528\u65b9\u6cd5\u3002<\/span><\/span>
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\u8bba\u6587\u4e03\uff1a\u57fa\u4e8e\u5927\u8bed\u8a00\u6a21\u578b\u63a8\u52a8\u4f20\u67d3\u75c5\u5b9e\u65f6\u9884\u6d4b\u7814\u7a76\u53d1\u5c55<\/span><\/strong><\/span><\/strong><\/strong><\/p>\n<\/section>\n

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\u8bba\u6587\u9898\u76ee\uff1aAdvancing real-time infectious disease forecasting using large language models<\/span><\/span><\/p>\n

\u57fa\u4e8e\u5927\u8bed\u8a00\u6a21\u578b\u63a8\u52a8\u4f20\u67d3\u75c5\u5b9e\u65f6\u9884\u6d4b\u7814\u7a76\u53d1\u5c55<\/span><\/span><\/p>\n

\u8bba\u6587\u6765\u6e90\uff1aNature Computational Science<\/span><\/span><\/p>\n

\u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/www.nature.com\/articles\/s43588-025-00798-6<\/span><\/span><\/p>\n

\u4ee3\u7801\u94fe\u63a5\uff1ahttps:\/\/github.com\/miemieyanga\/PandemicLLM<\/span><\/span><\/p>\n

\u4e00\u4f5c\u5355\u4f4d\uff1aJohns Hopkins University, USA<\/span><\/span><\/p>\n<\/section>\n<\/section>\n


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\u6458\u8981\uff1a<\/span><\/span>\u7531\u4e8e\u5f71\u54cd\u56e0\u7d20\u7684\u590d\u6742\u6027\uff0c\u9884\u6d4b\u6b63\u5728\u8fdb\u884c\u7684\u75be\u75c5\u7206\u53d1\u7684\u77ed\u671f\u4f20\u64ad\u6784\u6210\u4e86\u6311\u6218\uff0c\u5176\u4e2d\u4e00\u4e9b\u56e0\u7d20\u53ef\u4ee5\u901a\u8fc7\u76f8\u4e92\u5173\u8054\u7684\u591a\u6a21\u6001\u53d8\u91cf\u4ee5\u53ca\u516c\u5171\u653f\u7b56\u548c\u4eba\u7c7b\u884c\u4e3a\u7684\u4ea4\u53c9\u70b9\u6765\u8868\u5f81\u3002\u5728\u8fd9\u91cc\uff0c\u6211\u4eec<\/span>\u4ecb\u7ecd\u4e86 PandemicLLM\uff0c\u8fd9\u662f\u4e00\u4e2a\u5177\u6709\u591a\u6a21\u6001\u5927\u8bed\u8a00\u6a21\u578b \uff08LLM\uff09 \u7684\u6846\u67b6\uff0c\u5b83\u5c06\u75be\u75c5\u4f20\u64ad\u7684\u5b9e\u65f6\u9884\u6d4b\u91cd\u65b0\u8868\u8ff0\u4e3a\u6587\u672c\u63a8\u7406\u95ee\u9898\uff0c\u5e76\u80fd\u591f\u6574\u5408\u5b9e\u65f6\u3001\u590d\u6742\u7684\u975e\u6570\u5b57\u4fe1\u606f\u3002\u8fd9\u79cd\u65b9\u6cd5\u901a\u8fc7\u4eba\u5de5\u667a\u80fd-\u4eba\u7c7b\u5408\u4f5c\u63d0\u793a\u8bbe\u8ba1\u548c\u65f6\u95f4\u5e8f\u5217\u8868\u793a\u5b66\u4e60\uff0c\u4e3aLLM\u7f16\u7801\u591a\u6a21\u6001\u6570\u636e\u3002<\/span>\u8be5\u6a21\u578b\u5e94\u7528\u4e8e COVID-19 \u5927\u6d41\u884c\uff0c\u5e76\u7ecf\u8fc7\u8bad\u7ec3\u4ee5\u5229\u7528\u6587\u672c\u516c\u5171\u536b\u751f\u653f\u7b56\u3001\u57fa\u56e0\u7ec4\u76d1\u6d4b\u3001\u7a7a\u95f4\u548c\u6d41\u884c\u75c5\u5b66\u65f6\u95f4\u5e8f\u5217\u6570\u636e\uff0c\u5e76\u5728\u7f8e\u56fd\u6240\u6709 50 \u4e2a\u5dde\u8fdb\u884c\u4e86\u4e3a\u671f 19 \u4e2a\u6708\u7684\u6d4b\u8bd5\u3002PandemicLLM \u4e3a\u4ee5\u5f02\u6784\u683c\u5f0f\u5408\u5e76\u5404\u79cd\u4e0e\u5927\u6d41\u884c\u76f8\u5173\u7684\u6570\u636e\u5f00\u8f9f\u4e86\u9014\u5f84\uff0c\u5e76\u663e\u793a\u51fa\u4e0e\u73b0\u6709\u6a21\u578b\u76f8\u6bd4\u7684\u6027\u80fd\u4f18\u52bf\u3002<\/span><\/span><\/span><\/span><\/section>\n
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\u6838\u5fc3\u56fe1\uff1aPandemicLLMs \u7684\u75ab\u60c5\u6570\u636e\u6d41\u4e0e\u5904\u7406\u6d41\u7a0b\u6982\u89c8\u3002(a) \u591a\u6a21\u6001\u6570\u636e\u6d1e\u5bdf\uff08Multi-modality data insights\uff09\uff1a\u6211\u4eec\u7684\u591a\u6a21\u6001\u6570\u636e\u96c6\u6574\u5408\u4e86\u56db\u7c7b\u75ab\u60c5\u76f8\u5173\u6570\u636e\u6e90\uff1a\u7a7a\u95f4\u6570\u636e\uff08\u4eba\u53e3\u7edf\u8ba1\u5b66\u4e0e\u533b\u7597\u4fdd\u5065\u6307\u6807\uff09\u3001\u6d41\u884c\u75c5\u5b66\u65f6\u95f4\u5e8f\u5217\uff08<\/span><\/span>\u75c5\u4f8b\u62a5\u544a\u3001\u4f4f\u9662\u4eba\u6570\u548c\u75ab\u82d7\u63a5\u79cd\u7387<\/span><\/span>\uff09\u3001\u516c\u5171\u536b\u751f\u653f\u7b56\uff08<\/span><\/span>\u4ee5\u6587\u672c\u5f62\u5f0f\u8bb0\u5f55\u7684\u653f\u5e9c\u5e72\u9884\u63aa\u65bd<\/span><\/span>\uff09\u4ee5\u53ca\u57fa\u56e0\u7ec4\u76d1\u6d4b\u6570\u636e\uff08<\/span><\/span>\u7ed3\u5408\u4e86\u53d8\u5f02\u682a\u7684\u6587\u672c\u63cf\u8ff0\u4e0e\u5176\u6d41\u884c\u60c5\u51b5\u7684\u5468\u5ea6\u5e8f\u5217<\/span><\/span>\uff09\u3002\u6574\u4e2a\u6570\u636e\u96c6\u5305\u542b 5200 \u6761\u8bb0\u5f55\uff0c\u8986\u76d6\u7f8e\u56fd 50 \u4e2a\u5dde\uff0c\u65f6\u95f4\u8de8\u5ea6\u4e3a 104 \u5468\u3002SARS-CoV-2 \u7684\u7cfb\u7edf\u53d1\u80b2\u6811\u662f\u4f7f\u7528 Nextstrain \u751f\u6210\u7684\u3002(b) PandemicLLMs \u7684\u6784\u5efa\u6d41\u7a0b\uff1a\u4e3a\u4e86\u9884\u6d4b\u75ab\u60c5\u4f4f\u9662\u8d8b\u52bf\uff0c\u6211\u4eec\u5c06\u95ee\u9898\u5f62\u5f0f\u5316\u4e3a\u4e00\u4e2a\u5e8f\u6570\u5206\u7c7b\u4efb\u52a1\u3002\u6839\u636e CDC \u6307\u5357\uff0c\u6211\u4eec\u5b9a\u4e49\u4e86\u4e94\u4e2a\u7c7b\u522b\uff1a\u5927\u5e45\u4e0b\u964d\u3001\u4e2d\u5ea6\u4e0b\u964d\u3001\u7a33\u5b9a\u3001\u4e2d\u5ea6\u4e0a\u5347\u3001\u5927\u5e45\u4e0a\u5347\u3002\u901a\u8fc7 AI\u2013\u4eba\u7c7b\u534f\u4f5c\u7684\u63d0\u793a\u8bbe\u8ba1\u5c06\u591a\u6a21\u6001\u6570\u636e\u8f6c\u6362\u4e3a\u6587\u672c\u683c\u5f0f\uff0cPandemicLLMs \u5728\u8fd9\u4e9b\u63d0\u793a\u4e0e\u76ee\u6807\u6807\u7b7e\u7684\u57fa\u7840\u4e0a\u8fdb\u884c\u5fae\u8c03\uff0c\u4ee5\u5b9e\u73b0 1 \u5468\u548c 3 \u5468\u7684\u9884\u6d4b\u3002\u6211\u4eec\u7279\u522b\u5f3a\u8c03\u5bf9\u6a21\u578b\u8fdb\u884c\u4e25\u683c\u7684\u6027\u80fd\u8bc4\u4f30\uff0c\u4ee5\u9a8c\u8bc1\u9884\u6d4b\u7684 \u51c6\u786e\u6027\u4e0e\u53ef\u4fe1\u5ea6\u3002<\/span><\/span><\/span><\/p>\n<\/section>\n

<\/section>\n

\u6838\u5fc3\u56fe2<\/span><\/span><\/span>\uff1aAI\u2013\u4eba\u7c7b\u534f\u4f5c\u63d0\u793a\u8bbe\u8ba1\u793a\u610f\u56fe\u3002\u7f8e\u56fd 50 \u4e2a\u5dde\u7684\u7a7a\u95f4\u6570\u636e\u88ab\u8f6c\u5316\u4e3a\u63cf\u8ff0\u6027\u6587\u672c\uff0c\u4ee5\u53cd\u6620\u5176\u6392\u540d\uff1b\u653f\u7b56\u6570\u636e\u5305\u542b\u9632\u63a7\u5f3a\u5ea6\u53ca\u5176\u9010\u5468\u53d8\u5316\uff1b\u6d41\u884c\u75c5\u5b66\u65f6\u95f4\u5e8f\u5217\u6570\u636e\u7ed3\u5408\u4e86\u53d9\u4e8b\u751f\u6210\u4e0e\u8868\u5f81\u5b66\u4e60\uff1b\u57fa\u56e0\u7ec4\u76d1\u6d4b\u6570\u636e\u5219\u5c06\u53d8\u5f02\u682a\u7279\u5f81\u7684\u6587\u672c\u6458\u8981\u4e0e\u5176\u6700\u65b0\u6d41\u884c\u60c5\u51b5\u7ed3\u5408\u3002\u84dd\u8272\u7bad\u5934\u8868\u793a\u4fe1\u606f\u6587\u672c\u5316\uff0c\u7ea2\u8272\u7bad\u5934\u8868\u793a\u5e8f\u5217\u8868\u5f81\u5b66\u4e60\u3002\u6bcf\u4e2a\u8bbe\u8ba1\u7684\u63d0\u793a\u957f\u5ea6\u5728 296 \u81f3 322 \u4e2a\u8bcd\u4e4b\u95f4\u3002<\/span><\/span><\/span><\/p>\n


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\u5927\u6a21\u578b\u4e0e\u751f\u7269\u533b\u5b66\uff1a<\/span><\/strong><\/p>\n

AI + Science\u7b2c\u4e8c\u5b63\u8bfb\u4e66\u4f1a<\/span><\/strong><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

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\u751f\u7269\u533b\u5b66\u662f\u4e00\u4e2a\u590d\u6742\u4e14\u5bcc\u6709\u6311\u6218\u6027\u7684\u9886\u57df\uff0c\u6d89\u53ca\u5230\u5927\u91cf\u7684\u6570\u636e\u5904\u7406\u3001\u6a21\u5f0f\u8bc6\u522b\u3001\u7406\u8bba\u6a21\u578b\u5efa\u6784\u548c\u5b9e\u9a8c\u9a8c\u8bc1\u7b49\u95ee\u9898\u3002AI\u57fa\u7840\u6a21\u578b\u7684\u5f15\u5165\uff0c\u4f7f\u5f97\u6211\u4eec\u80fd\u591f\u4ece\u524d\u6240\u672a\u6709\u7684\u89d2\u5ea6\u53bb\u89c2\u5bdf\u548c\u7406\u89e3\u8fd9\u4e2a\u9886\u57df\u7684\u95ee\u9898\uff0c\u52a0\u901f\u79d1\u5b66\u7814\u7a76\u7684\u6b65\u4f10\uff0c\u63d0\u9ad8\u533b\u7597\u670d\u52a1\u7684\u6548\u7387\u548c\u6548\u679c\u3002\u8fd9\u79cd\u4ea4\u53c9\u9886\u57df\u7684\u5408\u4f5c\uff0c\u6807\u5fd7\u7740\u6211\u4eec\u6b63\u5728\u5411\u79d1\u6280\u4e0e\u751f\u7269\u533b\u5b66\u6df1\u5ea6\u878d\u5408\u7684\u65b0\u65f6\u4ee3\u8fc8\u8fdb\uff0c\u5bf9\u4e8e\u63a8\u52a8\u79d1\u5b66\u7814\u7a76\u3001\u4f18\u5316\u533b\u7597\u670d\u52a1\u3001\u4fc3\u8fdb\u4eba\u7c7b\u5065\u5eb7\u6709\u7740\u6df1\u8fdc\u7684\u5f71\u54cd\u3002<\/span><\/span><\/section>\n

<\/span><\/section>\n
\u96c6\u667a\u4ff1\u4e50\u90e8\u8054\u5408\u897f\u6e56\u5927\u5b66\u52a9\u7406\u6559\u6388\u5434\u6cf0\u9716\u3001\u65af\u5766\u798f\u5927\u5b66\u8ba1\u7b97\u673a\u79d1\u5b66\u7cfb\u535a\u58eb\u540e\u7814\u7a76\u5458\u738b\u701a\u5bb8\u3001\u535a\u58eb\u7814\u7a76\u751f\u9ec4\u67ef\u946b\u3001\u9ec4\u5029\uff0c\u534e\u76db\u987f\u5927\u5b66\u535a\u58eb\u7814\u7a76\u751f\u5c60\u946b\u660e\uff0c\u5171\u540c\u53d1\u8d77\u4ee5\u201c\u5927\u6a21\u578b\u4e0e\u751f\u7269\u533b\u5b66\u201d\u4e3a\u4e3b\u9898\u7684\u8bfb\u4e66\u4f1a\uff0c<\/span>\u5171\u5b66\u5171\u7814\u76f8\u5173\u6587\u732e\uff0c<\/span><\/span><\/span>\u63a2\u8ba8\u57fa\u7840\u6a21\u578b\u5728\u751f\u7269\u533b\u5b66\u7b49\u79d1\u5b66\u9886\u57df\u7684\u5e94\u7528\u3001\u5f71\u54cd\u548c\u5c55\u671b\u3002<\/span><\/span><\/span><\/span>\u8bfb\u4e66\u4f1a\u5df2\u5b8c\u7ed3\uff0c\u73b0\u5728\u62a5\u540d\u53ef\u52a0\u5165\u793e\u7fa4\u5e76\u89e3\u9501<\/span><\/span>\u56de\u653e<\/span><\/span>\u89c6\u9891\u6743\u9650\u3002<\/span><\/span><\/span><\/section>\n

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\u8be6\u60c5\u8bf7\u89c1\uff1a<\/span><\/span><\/span><\/p>\n

\u5927\u6a21\u578b\u4e0e\u751f\u7269\u533b\u5b66\uff1aAI + Science\u7b2c\u4e8c\u5b63\u8bfb\u4e66\u4f1a\u542f\u52a8<\/a><\/span><\/span>
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\u63a8\u8350\u9605\u8bfb<\/span><\/span><\/strong><\/strong><\/strong><\/section>\n
<\/strong><\/section>\n
1.\u5982\u4f55\u53d1\u73b0 AI+Science \u4e2d\u7684\u4e0b\u4e00\u4e2a AlphaFold \u548c ChatGPT\uff1f<\/span><\/a><\/span><\/strong>
<\/span><\/strong><\/span><\/section>\n
2.\u300aAI X Science\u5341\u5927\u524d\u6cbf\u89c2\u5bdf\u300b\u53d1\u5e03\uff1a35\u4e2a\u7814\u7a76\u524d\u6cbf\uff0c\u5f00\u542f\u79d1\u5b66\u53d1\u73b0\u7684\u9ec4\u91d1\u65f6\u4ee3<\/span><\/a><\/span><\/strong>
<\/span><\/strong><\/span><\/section>\n
3.\u300aAI\u00d7SCIENCE\u5341\u5927\u524d\u6cbf\u89c2\u5bdf\u300b2\uff1a\u5782\u76f4\u9886\u57df\u79d1\u5b66\u5927\u6a21\u578b<\/span><\/a><\/span><\/strong><\/section>\n
<\/strong><\/section>\n
4. <\/span><\/span>\u6d8c\u73b0\u52a8\u529b\u5b66\u5982\u4f55\u7528\u6765\u5206\u6790\u590d\u6742\u7cfb\u7edf\uff1f | \u65b0\u8bfe\u4e0a\u7ebf<\/span><\/a><\/span><\/strong><\/span>
<\/span><\/strong><\/strong><\/span><\/section>\n
<\/strong>5.<\/span>\u91cd\u6574\u5316\u7fa4\u4e0e\u975e\u7ebf\u6027\u7269\u7406\uff0c\u5bfb\u627e\u590d\u6742\u7cfb\u7edf\u8de8\u5c3a\u5ea6\u7684\u5206\u6790\u65b9\u6cd5\u4e28\u65b0\u8bfe\u53d1\u5e03<\/span><\/a><\/span><\/strong><\/strong><\/span><\/strong>
<\/span><\/strong><\/section>\n

6. \u9ad8\u8003\u5206\u6570\u53ea\u662f\u5f20\u5165\u573a\u5238\uff0c\u4f60\u7684\u79d1\u7814\u5192\u9669\u5728\u8fd9\u91cc\u542f\u822a\uff01<\/span><\/a><\/span><\/strong><\/p>\n

7. <\/span><\/span>\u96c6\u667a\u5b66\u56ed\u7cbe\u54c1\u8bfe\u7a0b\u514d\u8d39\u5f00\u653e\uff0c\u89e3\u9501\u7cfb\u7edf\u79d1\u5b66\u4e0e AI \u65b0\u4e16\u754c<\/span><\/a><\/span><\/strong><\/strong><\/strong><\/span>
<\/span><\/strong><\/strong><\/span><\/p>\n


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\u70b9\u51fb\u201c\u9605\u8bfb\u539f\u6587\u201d\uff0c\u62a5\u540d\u8bfb\u4e66\u4f1a<\/span><\/span><\/section>\n<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

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