{"id":58214,"date":"2025-04-07T19:36:30","date_gmt":"2025-04-07T11:36:30","guid":{"rendered":"https:\/\/swarma.org\/?p=58214"},"modified":"2025-04-07T19:36:30","modified_gmt":"2025-04-07T11:36:30","slug":"%e7%94%a8%e4%ba%ba%e5%b7%a5%e6%99%ba%e8%83%bd%e5%ad%a6%e4%b9%a0%e7%94%9f%e5%91%bd%e8%af%ad%e8%a8%80","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=58214","title":{"rendered":"\u7528\u4eba\u5de5\u667a\u80fd\u5b66\u4e60\u751f\u547d\u8bed\u8a00"},"content":{"rendered":"
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\u4ece2021\u5e74AlphaFold 2\u6210\u529f\u9884\u6d4b2\u4ebf\u79cd\u86cb\u767d\u8d28\u7ed3\u6784\u5f00\u59cb\uff0c\u751f\u547d\u79d1\u5b66\u9886\u57df\u7684\u4eba\u5de5\u667a\u80fd\u7814\u7a76\u8fdb\u5165\u4e86\u4e00\u4e2a\u524d\u6240\u672a\u6709\u7684\u5feb\u901f\u53d1\u5c55\u671f\u3002\u5728\u77ed\u77ed\u4e09\u5e74\u95f4\uff0c\u4eceDNA\u5230RNA\uff0c\u4ece\u5206\u5b50\u5230\u7ec6\u80de\uff0c\u4e00\u7cfb\u5217\u7a81\u7834\u6027\u7684\u751f\u547d\u8bed\u8a00\u5927\u6a21\u578b\u76f8\u7ee7\u95ee\u4e16\u3002\u8fd9\u4e9b\u6a21\u578b\u4e0d\u540c\u4e8e\u5904\u7406\u6587\u672c\u548c\u56fe\u50cf\u7684\u4f20\u7edfAI\uff0c\u5b83\u4eec\u4e13\u95e8\u89e3\u6790\u751f\u547d\u7684\u591a\u5c42\u6b21\u8bed\u8a00\uff1aAlphaFold 3\u80fd\u4ee5\u63a5\u8fd1\u5b9e\u9a8c\u7cbe\u5ea6\u9884\u6d4b\u751f\u7269\u5206\u5b50\u590d\u6742\u7ed3\u6784\uff1bRhoFold\/RhoDesign\u5b9e\u73b0RNA\u7684\u7cbe\u786e\u5206\u6790\u4e0e\u8bbe\u8ba1\uff1b\u57fa\u56e0\u8868\u8fbe\u9884\u6d4b\u7cfb\u7edfGET\u53ef\u4ee5\u6a21\u62df5000\u591a\u79cd\u4eba\u7c7b\u7ec6\u80de\u7c7b\u578b\u7684\u8f6c\u5f55\u8c03\u63a7\u3002\u66f4\u5177\u7a81\u7834\u6027\u7684\u662f\uff0c\u65af\u5766\u798f\u5927\u5b66\u5f00\u53d1\u7684\u591a\u667a\u80fd\u4f53\u865a\u62df\u5b9e\u9a8c\u5ba4\uff0c\u901a\u8fc7\u96c6\u6210\u591a\u4e2aAI\u6a21\u578b\uff0c\u5b9e\u73b0\u4e86\u4ece\u5206\u5b50\u8bbe\u8ba1\u5230\u5b9e\u9a8c\u9a8c\u8bc1\u7684\u5168\u6d41\u7a0b\u81ea\u52a8\u5316\u3002\u968f\u7740\u5168\u7403\u7ec6\u80de\u56fe\u8c31\u8ba1\u5212\u7684\u63a8\u8fdb\u548cAI\u865a\u62df\u7ec6\u80de\u7684\u6784\u60f3\uff0c\u6211\u4eec\u6b63\u5728\u89c1\u8bc1\u751f\u7269\u5b66\u7814\u7a76\u4ece\u89c2\u5bdf\u79d1\u5b66\u5411\u5de5\u7a0b\u79d1\u5b66\u7684\u5386\u53f2\u6027\u8f6c\u53d8\uff0c\u5c3d\u7ba1\u751f\u547d\u7cfb\u7edf\u7684\u7ec8\u6781\u590d\u6742\u6027\u4ecd\u7136\u8fdc\u8d85\u6211\u4eec\u7684\u8ba4\u77e5\u8303\u7574\u3002<\/span><\/span><\/strong><\/span><\/strong><\/p>\n


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\u8bba\u6587\u9898\u76ee\uff1aLearning the language of life with AI<\/span><\/span><\/section>\n
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2021: AlphaFold 2\u89e3\u51b3\u86cb\u767d\u8d28\u6298\u53e0\u96be\u9898<\/span><\/strong><\/span><\/strong><\/strong><\/p>\n<\/section>\n

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2021\u5e74\uff0c\u5728ChatGPT\u5f15\u53d1\u751f\u6210\u5f0f\u4eba\u5de5\u667a\u80fd<\/span><\/span>\uff08AI\uff09<\/span><\/span>\u70ed\u6f6e\u524d\u4e00\u5e74\uff0cAlphaFold 2[1]\u7834\u89e3\u4e86\u957f\u8fbe50\u5e74\u7684\u86cb\u767d\u8d28\u6298\u53e0\u96be\u9898\uff0c\u5b9e\u73b0\u4e86\u901a\u8fc7\u6c28\u57fa\u9178\u5e8f\u5217\u9884\u6d4b\u8d85\u8fc72\u4ebf\u79cd\u86cb\u767d\u8d28\u4e09\u7ef4<\/span><\/span>\uff083D\uff09<\/span><\/span>\u7ed3\u6784\u3002\u8fd9\u4e00\u7a81\u7834\u5f00\u542f\u4e86\u751f\u547d\u79d1\u5b66\u9886\u57df\u5927\u8bed\u8a00\u6a21\u578b<\/span><\/span>\uff08Large Language Models\uff0cLLMs\uff09<\/span><\/span> [2]\u7684\u7a7a\u524d\u53d1\u5c55\uff0c\u800c\u8fd9\u4ec5\u662f\u5f00\u7aef\u3002<\/span><\/span><\/section>\n

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\u6700\u8fd1\u51e0\u4e2a\u6708\uff0c\u6211\u4eec\u8fc8\u5165\u4e86\u57fa\u7840\u6a21\u578b\u7684\u8d85\u901f\u53d1\u5c55\u9636\u6bb5\u3002\u8fd9\u4e9b\u6a21\u578b\u901a\u8fc7\u6d77\u91cf\u6570\u636e\u96c6\u4e0a\u8fdb\u884c\u9884\u8bad\u7ec3\uff0c\u80fd\u591f\u6267\u884c\u591a\u79cd\u4efb\u52a1\uff0c\u5e2e\u52a9\u6211\u4eec\u7406\u89e3\u86cb\u767d\u8d28\u3001RNA\u3001DNA\u548c\u914d\u4f53\u7684\u7ed3\u6784\u3001\u751f\u7269\u5b66\u7279\u6027\u3001\u8fdb\u5316\u8fc7\u7a0b\u53ca\u8bbe\u8ba1\u65b9\u5f0f\uff0c\u540c\u65f6\u63ed\u793a\u5b83\u4eec\u4e4b\u95f4\u7684\u751f\u7269\u5206\u5b50\u76f8\u4e92\u4f5c\u7528\u3002\u4e0e\u5904\u7406\u6587\u672c\u3001\u97f3\u9891\u548c\u56fe\u50cf\u7684\u591a\u6a21\u6001\u5927\u8bed\u8a00\u6a21\u578b<\/span><\/span>\uff08\u5982GPT-4\u3001Gemini\u548cClaude\uff09<\/span><\/span>\u4e0d\u540c\uff0c\u8fd9\u4e9b\u751f\u547d\u5927\u8bed\u8a00\u6a21\u578b<\/span><\/span>\uff08Large Language of Life Models\uff0cLLLMs\uff09<\/span><\/span>\u5177\u6709\u591a\u7ec4\u5b66<\/span><\/span>\uff08multi-omics\uff09<\/span><\/span>\u7279\u6027\uff0c\u4e0d\u4ec5\u8868\u73b0\u4e3a\u591a\u6a21\u6001\u6027\uff0c\u8fd8\u6d89\u53ca\u5206\u5b50\u751f\u7269\u5b66\u7684\u591a\u4e2a\u5c42\u6b21\u3002\u4f8b\u5982\uff0cEvo[3]\u662f\u4e00\u4e2a\u57fa\u7840\u6a21\u578b\uff0c\u5b83\u5728270\u4e07\u4e2a\u591a\u6837\u5316\u7684\u566c\u83cc\u4f53\u548c\u539f\u6838\u751f\u7269\u57fa\u56e0\u7ec4<\/span><\/span>\uff08prokaryotic genomes\uff09<\/span><\/span>\u4e0a\u8fdb\u884c\u4e86\u8bad\u7ec3\u540e<\/span><\/span>\uff08\u76f8\u5f53\u4e8e\u7ea63000\u4ebf\u4e2aDNA\u78b1\u57fa\uff09<\/span><\/span>\uff0c\u53ef\u4ee5\u9884\u6d4bDNA\u3001RNA\u6216\u86cb\u767d\u8d28\u4e2d\u53d8\u5f02\u5bf9\u7ed3\u6784\u548c\u529f\u80fd\u7684\u5f71\u54cd\uff0c\u8bc4\u4f30\u8fd9\u4e9b\u57fa\u56e0\u5bf9\u7ec6\u80de\u529f\u80fd\u7684\u91cd\u8981\u6027\uff0c\u5e76\u80fd\u591f\u751f\u6210\u65b0\u7684DNA\u5e8f\u5217\u3002<\/span><\/span><\/section>\n

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\u7528AlphaFold3\u9884\u6d4b\u7684\u7cbe\u51c6\u86cb\u767d\u8d28\u7ed3\u6784 | \u6765\u6e90\uff1aAbramson, J., Adler, J., Dunger, J. et al. Accurate structure prediction of biomolecular interactions with AlphaFold 3. Nature 630, 493-500 (2024).<\/span><\/span><\/p>\n


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2023-2024\uff1a\u5206\u5b50\u7ed3\u6784\u9884\u6d4b\u6280\u672f\u8dc3\u5347<\/span><\/strong><\/span><\/strong><\/strong><\/p>\n<\/section>\n

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AF3 \u51c6\u786e\u9884\u6d4b\u751f\u7269\u5206\u5b50\u590d\u5408\u7269\u7684\u7ed3\u6784\u3002\u6765\u6e90\uff1aAbramson, J., Adler, J., Dunger, J. et al. Accurate structure prediction of biomolecular interactions with AlphaFold 3. Nature 630, 493\u2013500 (2024). https:\/\/doi.org\/10.1038\/s41586-024-07487-w<\/span><\/span><\/p>\n


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\u5728\u7ec6\u80de\u5c42\u9762\uff0c\u5b58\u5728\u5355\u7ec6\u80de\u76f8\u4f3c\u6027<\/span><\/span>\uff08Single-Cell Similarity, SCimilarity\uff09<\/span><\/span>[18]\u3002\u8fd9\u79cd\u65b9\u6cd5\u5229\u7528\u8fd1\u4f3c\u6700\u8fd1\u90bb\u641c\u7d22\u6765\u8bc6\u522b\u7ec6\u80de\u7c7b\u578b\u3002\u5b83\u662f\u57fa\u4e8e\u76f8\u4f3c\u6027\u7684\u5206\u7c7b\uff0c\u91c7\u7528\u4e86\u673a\u5668\u5b66\u4e60\u6280\u672f\u3002\u867d\u7136\u6211\u4eec\u66fe\u7ecf\u8ba4\u4e3a\u4eba\u4f53\u5185\u5927\u7ea6\u6709200\u79cd\u7ec6\u80de\u7c7b\u578b\uff0c\u4f46\u73b0\u5728\u8fd9\u4e2a\u6570\u5b57\u88ab\u8ba4\u4e3a\u8d85\u8fc75000\u3002SCimilarity\u6a21\u578b\u53ca\u5176\u540c\u7c7b\u6280\u672f\u7684\u7a81\u7834\u6e90\u4e8e\u201c\u4eba\u7c7b\u7ec6\u80de\u56fe\u8c31\u201d\u5168\u7403\u8ba1\u5212\u7684\u63a8\u8fdb\u2014\u2014\u6765\u81ea100\u4e2a\u56fd\u5bb6\u76843000\u540d\u79d1\u5b66\u5bb6\u5df2\u5b8c\u62106200\u4e07\u5355\u7ec6\u80de\u56fe\u8c31\u7ed8\u5236\uff0c\u6b63\u5411\u5341\u4ebf\u7ea7\u7ec6\u80de\u6570\u636e\u5e93\u8fc8\u8fdb\u3002<\/span><\/span><\/section>\n

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RhoFold+ \u7684\u67b6\u6784\u548c\u7528\u4e8e\u6027\u80fd\u8bc4\u4f30\u7684\u4efb\u52a1\u3002\u6765\u6e90\uff1aRhoFold+ Shen, T., Hu, Z., Sun, S. et al. Accurate RNA 3D structure prediction using a language model-based deep learning approach. Nat Methods 21, 2287\u20132298 (2024). https:\/\/doi.org\/10.1038\/s41592-024-02487-0<\/span><\/span><\/p>\n


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\u5728\u5355\u4e00\u8bed\u8a00\u6a21\u578b\u53d6\u5f97\u957f\u8db3\u8fdb\u5c55\u4e4b\u9645\uff0c\u6211\u4eec\u6b63\u8fc8\u5165\u591a\u667a\u80fd\u4f53\u534f\u540c\u7684\u8ba1\u7b97\u673a\u8f85\u52a9\u79d1\u5b66\u53d1\u73b0\u7684\u65f6\u4ee3\u3002\u65af\u5766\u798f\u5927\u5b66James Zou\u56e2\u961f\u5f00\u53d1\u7684\u201c\u865a\u62df\u5b9e\u9a8c\u5ba4\u201d<\/span><\/span>\uff08Virtual Lab\uff09<\/span><\/span>\u7cfb\u7edf\u5c31\u662f\u5178\u578b\u6848\u4f8b\u2014\u2014\u8be5\u7cfb\u7edf\u96c6\u6210\u4e94\u4f4d\u4e0d\u540c\u9886\u57df\u4e13\u5bb6\u578b\u667a\u80fd\u4f53<\/span><\/span>\uff08\u9996\u5e2d\u7814\u7a76\u5458\u3001\u514d\u75ab\u5b66\u5bb6\u3001\u673a\u5668\u5b66\u4e60\u4e13\u5bb6\u3001\u8ba1\u7b97\u751f\u7269\u5b66\u5bb6\u53ca\u79d1\u5b66\u8bc4\u8bba\u5458\uff09<\/span><\/span>\uff0c\u901a\u8fc7\u878d\u5408AlphaFold-Multimer\u3001Rosetta\u4e0e\u8fdb\u5316\u5c3a\u5ea6\u5efa\u6a21<\/span><\/span>\uff08ESM\uff09<\/span><\/span>\u4e09\u5927\u8bed\u8a00\u6a21\u578b\uff0c\u5b9e\u73b0\u4e86\u9488\u5bf9SARS-CoV-2\u7eb3\u7c73\u6297\u4f53\u7684\u81ea\u52a8\u5316\u8bbe\u8ba1\u3002\u5728\u6700\u5c0f\u5316\u4eba\u5de5\u5e72\u9884\u7684\u524d\u63d0\u4e0b\uff0c\u4e94\u4f4d\u667a\u80fd\u4f53\u901a\u8fc7\u5b9a\u671f\u81ea\u4e3b\u4f1a\u5546\uff0c\u5feb\u901f\u7814\u53d1\u51fa\u4e24\u79cd\u9ad8\u6548\u7eb3\u7c73\u6297\u4f53<\/span><\/span>\uff08\u4e00\u79cd\u5de5\u7a0b\u5316\u5fae\u578b\u6297\u4f53\u7247\u6bb5\uff09<\/span><\/span>\uff0c\u5176\u6548\u679c\u5df2\u901a\u8fc7\u5b9e\u9a8c\u5ba4\u68c0\u6d4b\u9a8c\u8bc1\u3002<\/span><\/span><\/section>\n

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VirtualLab\u591a\u667a\u80fd\u4f53\u534f\u540c\u7cfb\u7edf\u3002\u6765\u6e90\uff1ahttps:\/\/x.com\/james_y_zou\/status\/1856729107045982607<\/span><\/span><\/p>\n


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\u751f\u547d\u5927\u8bed\u8a00\u6a21\u578b\u7684\u84ec\u52c3\u53d1\u5c55\u6fc0\u53d1\u4e86\u7814\u7a76\u8005\u6784\u5efa\u4eba\u5de5\u667a\u80fd\u865a\u62df\u7ec6\u80de<\/span><\/span>\uff08AI Virtual Cell\uff0cAIVC\uff09<\/span><\/span>[19]\u7684\u613f\u666f\u3002\u8be5\u865a\u62df\u7ec6\u80de\u901a\u8fc7\u4f7f\u7528\u591a\u79cd\u6a21\u578b\u6765\u6a21\u62df\u5206\u5b50\u3001\u7ec6\u80de\u53ca\u7ec4\u7ec7\u7684\u52a8\u6001\u884c\u4e3a\uff0c\u8fdb\u800c\u89e3\u6790\u5176\u8fd0\u4f5c\u673a\u5236\u3002\u5f97\u76ca\u4e8e\u8fc7\u53bb\u4e8c\u5341\u5e74\u5168\u7403\u79d1\u7814\u9879\u76ee\u7684\u79ef\u7d2f\uff0c\u5982\u4eba\u7c7b\u57fa\u56e0\u7ec4\u8ba1\u5212<\/span><\/span>\uff08Human Genome Project\uff09<\/span><\/span>\u3001\u4eba\u7c7b\u7ec6\u80de\u56fe\u8c31<\/span><\/span>\uff08Human Cell Atlas\uff09<\/span><\/span>\u3001\u764c\u75c7\u57fa\u56e0\u7ec4\u56fe\u8c31<\/span><\/span>\uff08Cancer Genome Atlas\uff09<\/span><\/span>\u3001DNA\u5143\u4ef6\u767e\u79d1\u5168\u4e66<\/span><\/span>\uff08ENCODE\uff09<\/span><\/span>\u3001\u4eba\u7c7b\u86cb\u767d\u8d28\u56fe\u8c31<\/span><\/span>\uff08Human Protein Atlas\uff09<\/span><\/span>\u7b49\uff0c\u8bad\u7ec3\u673a\u5668\u5b66\u4e60\u6a21\u578b\u5df2\u4e0d\u5b58\u5728\u6570\u636e\u74f6\u9888\u3002\u867d\u7136\u6784\u5efa\u4eba\u5de5\u667a\u80fd\u865a\u62df\u7ec6\u80de\u7684\u5177\u4f53\u5b9e\u73b0\u65f6\u95f4\u8868\u5c1a\u4e0d\u660e\u786e\uff0c\u4f46\u8be5\u9879\u76ee\u7684\u53d8\u9769\u6f5c\u529b\u5df2\u83b740\u4f59\u4f4d\u9876\u5c16\u79d1\u5b66\u5bb6\u7684\u8ba4\u53ef\uff1a\u4eba\u5de5\u667a\u80fd\u865a\u62df\u7ec6\u80de\u5c06\u5f7b\u5e95\u9769\u65b0\u79d1\u7814\u8303\u5f0f\uff0c\u6709\u671b\u5728\u751f\u7269\u533b\u5b66\u7814\u7a76\u3001\u7cbe\u51c6\u533b\u7597\u3001\u836f\u7269\u7814\u53d1\u3001\u7ec6\u80de\u5de5\u7a0b\u53ca\u53ef\u7f16\u7a0b\u751f\u7269\u5b66\u7b49\u9886\u57df\u5e26\u6765\u7a81\u7834\u6027\u8fdb\u5c55\u3002<\/span><\/span><\/section>\n

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\u5168\u7403\u7ec6\u80de\u56fe\u8c31\u8ba1\u5212\u4e28\u6765\u6e90\uff1aHow to build the virtual cell with artificial intelligence: Priorities and opportunities<\/span><\/span><\/section>\n
Bunne, Charlotte et al.Cell, Volume 187, Issue 25, 7045 – 7063<\/span><\/span><\/section>\n

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\u8c37\u6b4c\u6df1\u5ea6\u5b66\u4e60\u7684Demis Hassabis\u8fdb\u4e00\u6b65\u9610\u8ff0\u4e86\u8fd9\u4e00\u89c2\u70b9\uff1a\u201c\u6211\u79f0\u4e4b\u4e3a\u5de5\u7a0b\u79d1\u5b66\uff0c\u56e0\u4e3a\u4e0e\u81ea\u7136\u79d1\u5b66\u4e0d\u540c\uff0c\u5de5\u7a0b\u79d1\u5b66\u5fc5\u987b\u5148\u884c\u4eba\u5de5\u5408\u6210\u76ee\u6807\u6784\u4ef6\uff0c\u800c\u540e\u624d\u80fd\u8fd0\u7528\u79d1\u5b66\u65b9\u6cd5\u89e3\u6784\u8be5\u5b9e\u4f53\u5e76\u8ba4\u8bc6\u5176\u7ec4\u6210\u90e8\u5206\u3002\u201d<\/span><\/span><\/section>\n

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\u7136\u800c\uff0c\u6b63\u5982Philip Ball\u5728\u4ed6\u7684\u4e66\u300a\u751f\u547d\u5982\u4f55\u8fd0\u4f5c\uff1a\u65b0\u751f\u7269\u5b66\u7684\u7528\u6237\u6307\u5357\u300b<\/span><\/span>\uff08<\/span>How Life Works: A User’s Guide to the New Biology<\/span><\/em>\uff09<\/span><\/span>\u4e2d\u6307\u51fa\u7684\uff0c\u751f\u547d\u7684\u8bed\u8a00\u8fdc\u6bd4\u6211\u4eec\u6240\u7406\u89e3\u7684\u8981\u590d\u6742\u5f97\u591a\u3002\u4ed6\u5f3a\u8c03\uff0c\u201c\u5c06\u751f\u547d\u6bd4\u4f5c\u673a\u5668\u3001\u673a\u5668\u4eba\u6216\u8ba1\u7b97\u673a\uff0c\u662f\u5bf9\u751f\u547d\u7684\u4f4e\u4f30\u3002\u201d\u4ed6\u8fdb\u4e00\u6b65\u5199\u9053\uff0c\u201c\u751f\u547d\u662f\u7ea7\u8054\u53cd\u5e94\u8fc7\u7a0b\uff0c\u6bcf\u4e2a\u8fc7\u7a0b\u90fd\u5177\u6709\u72ec\u7acb\u7684\u7ed3\u6784\u5b8c\u6574\u6027\u4e0e\u529f\u80fd\u81ea\u4e3b\u6027\uff0c\u5176\u8fd0\u4f5c\u903b\u8f91\u5728\u975e\u751f\u547d\u9886\u57df\u6ca1\u6709\u5bf9\u5e94\u8303\u5f0f\u3002\u201d\u8fd9\u4e00\u8bba\u65ad\u6216\u8bb8\u6210\u7acb\uff0c\u4f46\u5f53\u524d\u4eba\u5de5\u667a\u80fd\u7cfb\u7edf\u5df2\u521d\u6b65\u5c55\u73b0\u89e3\u6784\u751f\u547d\u8bed\u8a00\u6781\u7aef\u590d\u6742\u6027\u7684\u80fd\u529b\u2014\u2014\u66f4\u6df1\u523b\u7684\u7a81\u7834\u6b63\u5728\u915d\u917f\u4e4b\u4e2d\u3002<\/span><\/span><\/section>\n

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1.AlphaFold\uff0c\u80fd\u591f\u4ee5\u539f\u5b50\u7ea7\u7cbe\u5ea6\u9884\u6d4b\u86cb\u767d\u8d28\u7ed3\u6784 Jumper, J., Evans, R., Pritzel, A. et al. Highly accurate protein structure prediction with AlphaFold. Nature 596, 583\u2013589 (2021). https:\/\/doi.org\/10.1038\/s41586-021-03819-2<\/span><\/span><\/section>\n
2.\u5173\u4e8e\u57fa\u7840\u6a21\u578b\u7684\u673a\u9047\u4e0e\u98ce\u9669 https:\/\/crfm.stanford.edu\/assets\/report.pdf<\/span><\/span><\/section>\n
3.\u4e00\u79cd\u7531DeepMind\u5f00\u53d1\u7684\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\uff0c\u80fd\u591f\u9ad8\u7cbe\u5ea6\u9884\u6d4b\u86cb\u767d\u8d28\u7684\u4e09\u7ef4\u7ed3\u6784 Eric Nguyen et al. ,Sequence modeling and design from molecular to genome scale with Evo.Science386,eado9336(2024).DOI:10.1126\/science.ado9336<\/span><\/span><\/section>\n
4.AlphaFold 3\u662f\u4e00\u79cd\u65b0\u578bAI\u6a21\u578b\uff0c\u80fd\u591f\u4ee5\u524d\u6240\u672a\u6709\u7684\u7cbe\u5ea6\u9884\u6d4b\u6240\u6709\u751f\u7269\u5206\u5b50\u7684\u7ed3\u6784\u53ca\u5176\u76f8\u4e92\u4f5c\u7528 Abramson, J., Adler, J., Dunger, J. et al. Accurate structure prediction of biomolecular interactions with AlphaFold 3. Nature 630, 493\u2013500 (2024). https:\/\/doi.org\/10.1038\/s41586-024-07487-w<\/span><\/span><\/section>\n
5.Boltz-1\u5f00\u6e90\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\uff0c\u80fd\u591f\u4ee5\u4e0eAlphaFold3\u76f8\u5f53\u7684\u7cbe\u5ea6\u9884\u6d4b\u751f\u7269\u5206\u5b50\u590d\u5408\u7269\u76843D\u7ed3\u6784 Boltz-1 Democratizing Biomolecular Interaction Modeling<\/span><\/span><\/section>\n
Jeremy Wohlwend, Gabriele Corso, Saro Passaro, Mateo Reveiz, Ken Leidal, Wojtek Swiderski, Tally Portnoi, Itamar Chinn, Jacob Silterra, Tommi Jaakkola, Regina Barzilay<\/span><\/span><\/section>\n
bioRxiv 2024.11.19.624167; doi: https:\/\/doi.org\/10.1101\/2024.11.19.624167<\/span><\/span><\/section>\n
6.MassiveFold\uff0c\u4e00\u79cd\u4f18\u5316\u548c\u53ef\u5b9a\u5236\u7684AlphaFold\u7248\u672c Raouraoua, N., Mirabello, C., V\u00e9ry, T. et al. MassiveFold: unveiling AlphaFold\u2019s hidden potential with optimized and parallelized massive sampling. Nat Comput Sci 4, 824\u2013828 (2024). https:\/\/doi.org\/10.1038\/s43588-024-00714-4<\/span><\/span><\/section>\n
7.EVOLVEpro\u7684\u8ba1\u7b97\u65b9\u6cd5 Kaiyi Jiang et al. ,Rapid in silico directed evolution by a protein language model with EVOLVEpro.Science387,eadr6006(2025).DOI:10.1126\/science.adr6006<\/span><\/span><\/section>\n
8.PocketGen\u6df1\u5ea6\u751f\u6210\u6a21\u578b\uff0c\u80fd\u591f\u9ad8\u6548\u751f\u6210\u86cb\u767d\u8d28\u7ed3\u5408\u53e3\u888b\u7684\u6b8b\u57fa\u5e8f\u5217\u548c\u539f\u5b50\u7ed3\u6784 Zhang, Z., Shen, W.X., Liu, Q. et al. Efficient generation of protein pockets with PocketGen. Nat Mach Intell 6, 1382\u20131395 (2024). https:\/\/doi.org\/10.1038\/s42256-024-00920-9<\/span><\/span><\/section>\n
9.PIONEER\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6  Xiong, D., Qiu, Y., Zhao, J. et al. A structurally informed human protein\u2013protein interactome reveals proteome-wide perturbations caused by disease mutations. Nat Biotechnol (2024). https:\/\/doi.org\/10.1038\/s41587-024-02428-4<\/span><\/span><\/section>\n
10.AbMAP\u7684\u8fc1\u79fb\u5b66\u4e60\u6846\u67b6 R. Singh, C. Im, Y. Qiu, B. Mackness, A. Gupta, T. Joren, S. Sledzieski, L. Erlach, M. Wendt, Y. Fomekong Nanfack, B. Bryson, & B. Berger, Learning the language of antibody hypervariability, Proc. Natl. Acad. Sci. U.S.A. 122 (1) e2418918121, https:\/\/doi.org\/10.1073\/pnas.2418918121 (2025).<\/span><\/span><\/section>\n
11.RNA\u7ed3\u6784\u9884\u6d4b\u5de5\u5177 RhoFold+ Shen, T., Hu, Z., Sun, S. et al. Accurate RNA 3D structure prediction using a language model-based deep learning approach. Nat Methods 21, 2287\u20132298 (2024). https:\/\/doi.org\/10.1038\/s41592-024-02487-0<\/span><\/span><\/section>\n
12.RhoDesign\u6df1\u5ea6\u5b66\u4e60\u5e73\u53f0 Wong, F., He, D., Krishnan, A. et al. Deep generative design of RNA aptamers using structural predictions. Nat Comput Sci 4, 829\u2013839 (2024). https:\/\/doi.org\/10.1038\/s43588-024-00720-6<\/span><\/span><\/section>\n
13.GET\uff08General Expression Transformer\uff09\u901a\u8fc7\u5206\u6790213\u4e2a\u4eba\u7c7b\u80ce\u513f\u548c\u6210\u4eba\u7ec6\u80de\u7c7b\u578b\u7684\u67d3\u8272\u8d28\u53ef\u53ca\u6027\u548cDNA\u5e8f\u5217\uff0c\u63ed\u793a\u57fa\u56e0\u8c03\u63a7\u7684\u8bed\u6cd5\uff0c\u4ece\u800c\u51c6\u786e\u9884\u6d4b\u57fa\u56e0\u6d3b\u6027\u3002Fu, X., Mo, S., Buendia, A. et al. A foundation model of transcription across human cell types. Nature 637, 965\u2013973 (2025). https:\/\/doi.org\/10.1038\/s41586-024-08391-z<\/span><\/span><\/section>\n
14.\u57fa\u4e8e\u591a\u7269\u79cd\u57fa\u56e0\u7ec4\u6bd4\u5bf9\u7684DNA\u8bed\u8a00\u6a21\u578b\uff0c\u9884\u6d4b\u5168\u57fa\u56e0\u7ec4\u53d8\u5f02\u7684\u5f71\u54cd<\/span><\/span><\/section>\n
Benegas, G., Albors, C., Aw, A.J. et al. A DNA language model based on multispecies alignment predicts the effects of genome-wide variants. Nat Biotechnol (2025). https:\/\/doi.org\/10.1038\/s41587-024-02511-w<\/span><\/span><\/section>\n
15.MethylGPT\uff0c\u9884\u6d4bDNA\u7532\u57fa\u5316\u503c\u5e76\u5e94\u7528\u4e8e\u5e74\u9f84\u9884\u6d4b\u548c\u75be\u75c5\u8bca\u65ad<\/span><\/span><\/section>\n
MethylGPT: a foundation model for the DNA methylome<\/span><\/span><\/section>\n
Kejun Ying, Jinyeop Song, Haotian Cui, Yikun Zhang, Siyuan Li, Xingyu Chen, Hanna Liu, Alec Eames, Daniel L McCartney, Riccardo E. Marioni, Jesse R. Poganik, Mahdi Moqri, Bo Wang, Vadim N. Gladyshev<\/span><\/span><\/section>\n
bioRxiv 2024.10.30.621013; doi: https:\/\/doi.org\/10.1101\/2024.10.30.621013<\/span><\/span><\/section>\n
16.CpGPT\uff0c\u4ece\u6709\u9650\u7684\u8f93\u5165\u6570\u636e\u91cd\u5efa\u5168\u57fa\u56e0\u7ec4\u7532\u57fa\u5316\u56fe\u8c31\uff0c\u5e76\u5728\u5e74\u9f84\u9884\u6d4b\u548c\u6b7b\u4ea1\u98ce\u9669\u8bc4\u4f30\u7b49\u4efb\u52a1\u4e0a\u8868\u73b0\u51fa\u8272 <\/span><\/span><\/section>\n
CpGPT: a Foundation Model for DNA Methylation<\/span><\/span><\/section>\n
Lucas Paulo de Lima Camillo, Raghav Sehgal, Jenel Armstrong, Albert T. Higgins-Chen, Steve Horvath, Bo Wang <\/span><\/span>bioRxiv 2024.10.24.619766; doi: https:\/\/doi.org\/10.1101\/2024.10.24.619766<\/span><\/span><\/section>\n
17. SyntheMol \u7528\u751f\u6210\u6a21\u578b\u8bbe\u8ba1\u6297\u751f\u7d20\u7ed3\u6784<\/span><\/span><\/section>\n
Swanson, K., Liu, G., Catacutan, D.B. et al. Generative AI for designing and validating easily synthesizable and structurally novel antibiotics. Nat Mach Intell 6, 338\u2013353 (2024). https:\/\/doi.org\/10.1038\/s42256-024-00809-7<\/span><\/span><\/section>\n
18. <\/span><\/span>SCimilarity\u7ec6\u80de\u56fe\u8c31\u57fa\u7840\u6a21\u578b\uff0c\u80fd\u591f\u9ad8\u6548\u5730\u641c\u7d22\u548c\u6bd4\u8f83\u4eba\u7c7b\u4f53\u5185\u76f8\u4f3c\u7684\u5355\u7ec6\u80de\u72b6\u6001<\/span><\/span><\/section>\n
Heimberg, G., Kuo, T., DePianto, D.J. et al. A cell atlas foundation model for scalable search of similar human cells. Nature (2024). https:\/\/doi.org\/10.1038\/s41586-024-08411-y<\/span><\/span><\/section>\n
19. <\/span><\/span>AI\u865a\u62df\u7ec6\u80de <\/span><\/span><\/section>\n
How to build the virtual cell with artificial intelligence: Priorities and opportunities <\/span><\/span>Bunne, Charlotte et al. <\/span><\/span>Cell, Volume 187, Issue 25, 7045 – 7063<\/span><\/span><\/section>\n


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\u53c2\u8003\u6587\u732e\u53ef<\/span>\u4e0a\u4e0b\u6ed1\u52a8<\/span><\/strong>\u67e5\u770b<\/span><\/p>\n<\/section>\n<\/section>\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

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\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><\/p>\n


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\u63a8\u8350\u9605\u8bfb<\/span><\/span><\/strong><\/strong><\/strong><\/section>\n
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1. <\/span><\/strong>\u674e\u98de\u98de\u56e2\u961f\uff1a\u5982\u4f55\u5236\u9020\u66f4\u806a\u660e\u7684\u4eba\u5de5\u667a\u80fd\uff1f\u8ba9\u4eba\u5de5\u751f\u547d\u5728\u590d\u6742\u73af\u5883\u4e2d\u8fdb\u5316<\/a><\/span><\/strong><\/span><\/strong><\/section>\n
2. <\/span><\/strong>\u4eba\u5de5\u751f\u547d\u5168\u666f\u56fe\uff1a\u5982\u4f55\u521b\u9020\u51fa\u8d85\u8d8a\u4eba\u5de5\u667a\u80fd\u7684\u751f\u547d\u7cfb\u7edf<\/a><\/span><\/strong><\/span><\/strong><\/section>\n
3. <\/span><\/strong>\u5728\u5341\u7ef4\u7a7a\u95f4\u968f\u673a\u6e38\u8d70\uff1a\u5bf9\u751f\u547d\u6f14\u5316\u548c\u673a\u5668\u5b66\u4e60\u7684\u542f\u793a<\/a><\/span><\/strong><\/span><\/section>\n
4. <\/span><\/span><\/strong><\/span>\u6d8c\u73b0\u52a8\u529b\u5b66\u5982\u4f55\u7528\u6765\u5206\u6790\u590d\u6742\u7cfb\u7edf\uff1f | \u65b0\u8bfe\u4e0a\u7ebf<\/a><\/span><\/strong><\/strong><\/span><\/section>\n
<\/strong>5. <\/span><\/strong>AI\u65f6\u4ee3\u7684\u5b66\u4e60\uff1a\u5171\u63a2\u4eba\u7c7b\u5b66\u4e60\u7684\u590d\u6742\u6027<\/span><\/a><\/span><\/strong><\/section>\n

6. <\/span><\/strong>\u63a2\u7d22\u8005\u8ba1\u5212 | \u96c6\u667a\u4ff1\u4e50\u90e82025\u5185\u5bb9\u56e2\u961f\u62db\u52df\uff08\u5168\u804c&\u517c\u804c\uff09<\/a><\/span><\/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


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\u5bfc\u8bed \u4ece2021\u5e74AlphaFold 2\u6210\u529f\u9884\u6d4b2\u4ebf\u79cd\u86cb\u767d\u8d28\u7ed3\u6784\u5f00\u59cb\uff0c\u751f\u547d\u79d1\u5b66\u9886\u57df\u7684\u4eba\u5de5\u667a\u80fd\u7814\u7a76\u8fdb\u5165\u4e86\u4e00\u4e2a\u524d\u6240\u672a\u6709\u7684\u5feb\u901f\u53d1\u5c55\u671f\u3002\u5728\u77ed\u77ed\u4e09\u5e74\u95f4\uff0c\u4eceDNA\u5230RNA\uff0c\u4ece\u5206\u5b50\u5230\u7ec6\u80de\uff0c\u4e00\u7cfb\u5217\u7a81\u7834\u6027\u7684\u751f\u547d\u8bed\u8a00\u5927\u6a21\u578b\u76f8\u7ee7\u95ee\u4e16\u3002\u8fd9\u4e9b\u6a21\u578b\u4e0d\u540c\u4e8e\u5904\u7406\u6587\u672c\u548c\u56fe\u50cf\u7684\u4f20\u7edfAI\uff0c\u5b83\u4eec\u4e13\u95e8\u89e3\u6790\u751f\u547d\u7684\u591a\u5c42\u6b21\u8bed\u8a00\uff1aAlphaFold…<\/p>\n","protected":false},"author":0,"featured_media":58203,"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\/58214"}],"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=58214"}],"version-history":[{"count":0,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts\/58214\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/media\/58203"}],"wp:attachment":[{"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=58214"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=58214"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=58214"},{"taxonomy":"special","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fspecial&post=58214"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}