{"id":60363,"date":"2025-06-03T21:29:30","date_gmt":"2025-06-03T13:29:30","guid":{"rendered":"https:\/\/swarma.org\/?p=60363"},"modified":"2025-06-03T21:29:30","modified_gmt":"2025-06-03T13:29:30","slug":"%e8%9b%8b%e7%99%bd%e8%b4%a8%e6%8a%98%e5%8f%a0%e4%b8%8e%e8%83%bd%e9%87%8f%e6%99%af%e8%a7%82%ef%bc%9a%e6%b7%80%e7%b2%89%e6%a0%b7%e8%9b%8b%e7%99%bd%e7%9a%84%e9%94%99%e8%af%af%e6%8a%98%e5%8f%a0%e4%b9%8b","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=60363","title":{"rendered":"\u86cb\u767d\u8d28\u6298\u53e0\u4e0e\u80fd\u91cf\u666f\u89c2\uff1a\u6dc0\u7c89\u6837\u86cb\u767d\u7684\u9519\u8bef\u6298\u53e0\u4e4b\u8def\u00a0\uff5c\u5468\u56db\u76f4\u64ad\u00b7\u751f\u547d\u590d\u6742\u6027\u8bfb\u4e66\u4f1a"},"content":{"rendered":"
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\u5728\u8fc7\u53bb\u51e0\u5341\u5e74\u4e2d\uff0c\u86cb\u767d\u8d28\u6298\u53e0\u95ee\u9898\u4e00\u76f4\u662f\u7ed3\u6784\u751f\u7269\u5b66\u548c\u751f\u7269\u7269\u7406\u5b66\u7684\u6838\u5fc3\u96be\u9898\u3002\u968f\u7740\u6df1\u5ea6\u5b66\u4e60\u65b9\u6cd5\uff0c\u5c24\u5176\u662fAlphaFold2\u7684\u7a81\u7834\uff0c\u86cb\u767d\u8d28\u7ed3\u6784\u9884\u6d4b\u8fce\u6765\u4e86\u9769\u547d\u6027\u7684\u98de\u8dc3\u3002\u7136\u800c\uff0c\u8fd9\u4e9b\u65b9\u6cd5\u4e3b\u8981\u9488\u5bf9\u7684\u662f\u201c\u6b63\u786e\u6298\u53e0\u201d\u7684\u5355\u4f53\u86cb\u767d\uff0c\u5bf9\u4e8e\u90a3\u4e9b\u5728\u75be\u75c5\u53d1\u751f\u4e2d\u53d1\u6325\u5173\u952e\u4f5c\u7528\u3001\u5177\u6709\u9ad8\u5ea6\u7ed3\u6784\u591a\u6837\u6027\uff08polymorphism\uff09\u7684\u6dc0\u7c89\u6837\u86cb\u767d\uff08amyloid fibrils\uff09\u5374\u4ecd\u529b\u4e0d\u4ece\u5fc3\u3002<\/span><\/span><\/p>\n


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\u8fd1\u65e5\uff0c\u660c\u5e73\u5b9e\u9a8c\u5ba4\u9648\u660e\u8fb0\u56e2\u961f\u5728PNAS\u4e0a\u53d1\u8868\u6700\u65b0\u7814\u7a76\u8bba\u6587\uff0c\u63d0\u51fa\u5168\u65b0\u7684 RibbonFold \u65b9\u6cd5\uff0c\u901a\u8fc7\u5f15\u5165\u201c\u4e1d\u5e26\u6784\u8c61\u5047\u8bf4\u201d\u5e76\u5728\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u4e2d\u65bd\u52a0\u7ed3\u6784\u7ea6\u675f\uff0c\u9996\u6b21\u7cfb\u7edf\u6027\u9884\u6d4b\u5e76\u91cd\u73b0\u4e86\u591a\u79cd\u6dc0\u7c89\u6837\u86cb\u767d\u7684\u6784\u8c61\u591a\u6001\u6027\uff0c\u4e3a\u7406\u89e3\u795e\u7ecf\u9000\u884c\u6027\u75be\u75c5\u7b49\u76f8\u5173\u75c5\u75c7\u7684\u5206\u5b50\u673a\u5236\u63d0\u4f9b\u4e86\u65b0\u7684\u7a97\u53e3\u3002\u672c\u6b21\u8bfb\u4e66\u4f1a\u5c06\u9996\u5148\u4ecb\u7ecd\u86cb\u767d\u8d28\u6298\u53e0\u4e0e\u80fd\u91cf\u666f\u89c2\u7b49\u57fa\u7840\u6982\u5ff5\uff0c\u8fdb\u4e00\u6b65\u8ba8\u8bba\u86cb\u767d\u8d28\u9519\u8bef\u6298\u53e0\u4e0e\u6dc0\u7c89\u6837\u86cb\u767d\uff0c\u4e4b\u540e\u4ecb\u7ecd\u201c\u4e1d\u5e26\u9650\u5236\u201d\u7528\u4e8e\u9884\u6d4b\u6dc0\u7c89\u6837\u86cb\u767d\u7ed3\u6784\u7684\u6700\u65b0\u8fdb\u5c55\uff0c\u5e0c\u671b\u4e0e\u5927\u5bb6\u4e00\u8d77\u63a2\u8ba8\u4eba\u5de5\u667a\u80fd\u3001\u7edf\u8ba1\u7269\u7406\u3001\u86cb\u767d\u8d28\u6298\u53e0\u8fd9\u4e00\u524d\u6cbf\u4ea4\u53c9\u9886\u57df\u3002<\/span><\/span><\/span><\/p>\n


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1. \u86cb\u767d\u8d28\u6298\u53e0\u4e0e\u80fd\u91cf\u666f\u89c2 Protein folding & energy landscapes;<\/span><\/span><\/h2>\n

2. \u6700\u5c0f\u963b\u632b\u539f\u7406 Principle of minimal frustration;<\/span><\/span><\/h2>\n

3. \u86cb\u767d\u8d28\u9519\u8bef\u6298\u53e0\u4e0e\u6dc0\u7c89\u6837\u86cb\u767d Protein misfolding and amyloid;<\/span><\/span><\/h2>\n

4. \u201c\u4e1d\u5e26\u9650\u5236\u201d\u7528\u4e8e\u9884\u6d4b\u6dc0\u7c89\u6837\u86cb\u767d\u7ed3\u6784 Ribbon constraints for predicting amyloid structures;<\/span><\/span><\/h2>\n

5. \u6dc0\u7c89\u6837\u86cb\u767d\u6298\u53e0\u666f\u89c2 Amyloid folding landscapes;<\/span><\/span><\/h2>\n


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\u86cb\u767d\u8d28\u6298\u53e0\u7684\u80fd\u91cf\u666f\u89c2\u5b66\u8bf4 Energy landscape theory for protein folding<\/span><\/span><\/p>\n

\u6700\u5c0f\u963b<\/span><\/span>\u632b<\/span><\/span><\/span>\u539f\u7406 Principle of minimal frustration<\/span><\/span><\/p>\n

\u86cb\u767d\u8d28\u9519\u8bef\u6298\u53e0\u548c\u6c89\u6dc0 Protein misfolding & Protein aggregation<\/span><\/span><\/p>\n

\u6dc0\u7c89\u6837\u86cb\u767d\u591a\u6001\u6027 Amyloid polymorphism<\/span><\/span><\/p>\n

\u795e\u7ecf\u9000\u884c Neurodegeneration<\/span><\/span><\/p>\n

\u6dc0\u7c89\u6837\u7ea4\u7ef4 Amyloid fibrils<\/span><\/span><\/p>\n


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\u9648\u660e\u8fb0<\/span><\/span><\/strong>\uff0c2014\u5e74\u5728\u5317\u4eac\u5927\u5b66\u83b7\u5f97\u751f\u7269\u5b66\u5b66\u58eb\u5b66\u4f4d\uff0c2019\u5e74\u5728\u83b1\u65af\u5927\u5b66\u83b7\u5f97\u8ba1\u7b97\u751f\u7269\u7269\u7406\u535a\u58eb\u5b66\u4f4d\uff0c\u5bfc\u5e08\u662f\u7f8e\u56fd\u7406\u8bba\u5316\u5b66\u5bb6\u548c\u7269\u7406\u5b66\u5bb6 Peter Wolynes\u30022018-2024\u5e74\u671f\u95f4\u5728\u5317\u4eac\u661f\u4ea2\u539f\u751f\u7269\u79d1\u6280\u6709\u9650\u516c\u53f8\u62c5\u4efb\u8054\u5408\u521b\u59cb\u4eba& \u526f\u603b\u88c1\u30022024\u5e74\u81f3\u4eca\u4efb\u660c\u5e73\u5b9e\u9a8c\u5ba4\u9886\u8854\u79d1\u5b66\u5bb6\u3002\u4e13\u6ce8\u4e8e\u4eba\u5de5\u667a\u80fd\/\u8ba1\u7b97\u9a71\u52a8\u7684\u751f\u7269\u5206\u5b50\u52a8\u6001\u3001\u86cb\u767d\u8d28\u6298\u53e0\u3001\u86cb\u767d\u8d28\u76f8\u4e92\u4f5c\u7528\u4ee5\u53ca\u836f\u7269\u8bbe\u8ba1\u3002\u91cd\u70b9\u7814\u7a76\u4eba\u5de5\u667a\u80fd\u9a71\u52a8\u7684\u6297\u4f53\u5206\u5b50\u7b49\u751f\u7269\u5927\u5206\u5b50\u7684\u8bbe\u8ba1\u548c\u6210\u836f\u6027\u4f18\u5316\u3002<\/span><\/span><\/p>\n

\u8fd1\u5e74\u4e3b\u8981\u7814\u7a76\u6210\u679c\u5305\u62ec\uff1a1\uff09\u5728\u86cb\u767d\u52a8\u529b\u5b66\u548c\u86cb\u767d\u76f8\u4e92\u4f5c\u7528\u4e0a\uff0c\u5728PNAS\uff0cNat Comm\uff0cJACS\u7b49\u671f\u520a\u4e0a\u4ee5\u7b2c\u4e00\u4f5c\u8005\/\u5171\u540c\u7b2c\u4e00\u4f5c\u8005\u53d1\u8868\u8bba\u6587\u5341\u591a\u7bc7\uff1b2\uff09\u53c2\u4e0e\u8bbe\u8ba1\u7684CD24\u6297\u4f53\u662f\u4e2d\u56fd\u9996\u4e2a\u4eba\u5de5\u667a\u80fd\u8bbe\u8ba1\u4f18\u5316\u7684\u5355\u6297\u62ff\u5230\u4e86\u7f8e\u56fdFDA\u7684IND\u6279\u51c6\uff1b\u8bbe\u8ba1\u591a\u4e2a\u5927\u5c0f\u5206\u5b50\u836f\u7269\u8fdb\u5165\u5230PCC\u9636\u6bb5\uff1b\u591a\u4e2a\u8ba1\u7b97\u8bbe\u8ba1\u7684\u5019\u9009\u836f\u7269\u8fbe\u6210\u603b\u989d\u4e0a\u4ebf\u4eba\u6c11\u5e01\u7684\u6388\u6743\u8f6c\u8ba9\uff1b3\uff092018\u5e74\u5e26\u961f\u53c2\u52a0\u7ed3\u6784\u9884\u6d4b\u5927\u8d5b CASP13\uff0c\u83b7\u5f97 free modeling \u9886\u57df\u7b2c\u516d\u540d\u3002<\/span><\/span><\/p>\n


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[1] Schafer, Nicholas P., et al. “Learning to fold proteins using energy landscape theory.” <\/span><\/span>Israel journal of chemistry<\/span><\/span><\/em> 54.8\u20109 (2014): 1311-1337.<\/span><\/span><\/p>\n

[2] Chen, Mingchen, et al. “Surveying biomolecular frustration at atomic resolution.” <\/span><\/span>Nature communications<\/span><\/span><\/em> 11.1 (2020): 5944.<\/span><\/span><\/p>\n

[3] Chen, Mingchen, Nicholas P. Schafer, and Peter G. Wolynes. “Surveying the energy landscapes of A\u03b2 fibril polymorphism.” <\/span><\/span>The Journal of Physical Chemistry B<\/span><\/span><\/em> 122.49 (2018): 11414-11430.<\/span><\/span><\/p>\n

[4] Eisenberg, David S., and Michael R. Sawaya. “Structural studies of amyloid proteins at the molecular level.” <\/span><\/span>Annual review of biochemistry<\/span><\/span><\/em> 86.1 (2017): 69-95.<\/span><\/span><\/p>\n

[5] Guo, Liangyue, et al. “Generating the polymorph landscapes of amyloid fibrils using AI: RibbonFold.” <\/span><\/span>Proceedings of the National Academy of Sciences<\/span><\/span><\/em> 122.16 (2025): e2501321122.<\/span><\/span><\/p>\n

[6] Ferreiro, Diego U., Elizabeth A. Komives, and Peter G. Wolynes. “Frustration in biomolecules.” <\/span><\/span>Quarterly reviews of biophysics<\/span><\/span><\/em> 47.4 (2014): 285-363.<\/span><\/span><\/p>\n

\u76f8\u5173\u6587\u7ae0\uff1a<\/span>AI+Science\u65b0\u89c6\u91ce\uff1a\u7528\u7269\u7406\u4fe1\u606f\u5f15\u5bfcAlphaFold 2\u9884\u6d4b\u86cb\u767d\u8d28\u52a8\u529b\u5b66<\/a><\/span><\/p>\n


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\u65f6\u95f4\uff1a<\/span><\/strong><\/span>2025\u5e746\u67085\u65e5\uff08\u5468\u56db\uff09\u665a20:00-22:00<\/span><\/span><\/span><\/span><\/p>\n

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\u6591\u56fe\u94fe\u63a5\uff1ahttps:\/\/pattern.swarma.org\/mobile\/study_group_issue\/917?from=wechat<\/span><\/span><\/p>\n


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\u626b\u7801\u53c2\u4e0e\u300c\u751f\u547d\u590d\u6742\u6027\u300d\u8bfb\u4e66\u4f1a<\/a>\uff0c\u52a0\u5165\u7fa4\u804a\uff0c\u83b7\u53d6\u7cfb\u5217\u8bfb\u4e66\u4f1a\u56de\u770b\u6743\u9650\uff0c\u52a0\u5165\u751f\u547d\u590d\u6742\u6027\u793e\u533a\uff0c\u4e0e\u793e\u533a\u7684\u4e00\u7ebf\u79d1\u7814\u5de5\u4f5c\u8005\u6c9f\u901a\u4ea4\u6d41\uff0c\u5171\u540c\u63a8\u52a8\u8fd9\u4e00\u524d\u6cbf\u9886\u57df\u7684\u53d1\u5c55\u3002<\/span><\/span><\/section>\n

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\u8bfb\u4e66\u4f1a\u6210\u5458\u5747\u53ef\u4ee5\u5728\u8bfb\u4e66\u4f1a\u671f\u95f4\u7533\u8bf7\u6210\u4e3a\u4e3b\u8bb2\u4eba\u3002\u4e3b\u8bb2\u4eba\u4f5c\u4e3a\u8bfb\u4e66\u4f1a\u6210\u5458\uff0c\u5747\u9075\u5faa\u5185\u5bb9\u5171\u521b\u5171\u4eab\u673a\u5236\uff0c\u53ef\u4ee5\u83b7\u5f97\u62a5\u540d\u8d39\u9000\u6b3e\uff0c\u5e76\u5171\u4eab\u672c\u8bfb\u4e66\u4f1a\u4ea7\u751f\u7684\u6240\u6709\u5185\u5bb9\u8d44\u6e90\u3002<\/span><\/span><\/section>\n
\u8be6\u60c5\u8bf7\u89c1\uff1a<\/span>\u751f\u547d\u590d\u6742\u6027\u8bfb\u4e66\u4f1a\uff1a\u4ece\u5fae\u89c2\u5230\u5b8f\u89c2\uff0c\u591a\u5c3a\u5ea6\u89c6\u89d2\u63a2\u7d22\u751f\u547d\u590d\u6742\u7cfb\u7edf\u7684\u6784\u6210\u539f\u7406<\/a><\/span><\/span><\/span><\/section>\n

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PNAS \u524d\u6cbf\uff1aRibbonFold \u63ed\u793a\u6dc0\u7c89\u6837\u86cb\u767d\u591a\u6001\u7ed3\u6784\u7684\u5965\u79d8<\/span><\/span><\/h1>\n


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\u8bba\u6587\u9898\u76ee\uff1aGenerating the Polymorph Landscapes of Amyloid Fibrils Using Artificial Intelligence: RibbonFold<\/span><\/p>\n

\u8bba\u6587\u5730\u5740\uff1ahttps:\/\/www.pnas.org\/doi\/10.1073\/pnas.2501321122<\/span><\/p>\n<\/blockquote>\n


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\u6765\u6e90\uff1a\u660c\u5e73\u5b9e\u9a8c\u5ba4<\/span><\/span><\/p>\n


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\u5728\u8fc7\u53bb\u51e0\u5341\u5e74\u4e2d\uff0c\u86cb\u767d\u8d28\u6298\u53e0\u95ee\u9898\u4e00\u76f4\u662f\u7ed3\u6784\u751f\u7269\u5b66\u548c\u751f\u7269\u7269\u7406\u5b66\u7684\u6838\u5fc3\u96be\u9898\u3002\u968f\u7740\u6df1\u5ea6\u5b66\u4e60\u65b9\u6cd5\uff0c\u5c24\u5176\u662fAlphaFold2\u7684\u7a81\u7834\uff0c\u86cb\u767d\u8d28\u7ed3\u6784\u9884\u6d4b\u8fce\u6765\u4e86\u9769\u547d\u6027\u7684\u98de\u8dc3\u3002\u7136\u800c\uff0c\u8fd9\u4e9b\u65b9\u6cd5\u4e3b\u8981\u9488\u5bf9\u7684\u662f\u201c\u6b63\u786e\u6298\u53e0\u201d\u7684\u5355\u4f53\u86cb\u767d\uff0c\u5bf9\u4e8e\u90a3\u4e9b\u5728\u75be\u75c5\u53d1\u751f\u4e2d\u53d1\u6325\u5173\u952e\u4f5c\u7528\u3001\u5177\u6709\u9ad8\u5ea6\u7ed3\u6784\u591a\u6837\u6027\u7684\u6dc0\u7c89\u6837\u86cb\u767d<\/span>\uff08amyloid fibrils\uff09<\/span>\u5374\u4ecd\u529b\u4e0d\u4ece\u5fc3\u3002\u660c\u5e73\u5b9e\u9a8c\u5ba4\u9648\u660e\u8fb0\u56e2\u961f\u5728PNAS\u4e0a\u53d1\u8868\u4e86\u9898\u4e3a\u201cGenerating the Polymorph Landscapes of Amyloid Fibrils Using Artificial Intelligence: RibbonFold\u201d\u7684\u7814\u7a76\u8bba\u6587\u3002\u8be5\u7814\u7a76\u63d0\u51fa\u4e86\u5168\u65b0\u7684RibbonFold\u65b9\u6cd5\uff0c\u901a\u8fc7\u5f15\u5165\u201c\u4e1d\u5e26\u6784\u8c61\u5047\u8bf4\u201d\u5e76\u5728\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u4e2d\u65bd\u52a0\u7ed3\u6784\u7ea6\u675f\uff0c\u9996\u6b21\u7cfb\u7edf\u6027\u9884\u6d4b\u5e76\u91cd\u73b0\u4e86\u591a\u79cd\u6dc0\u7c89\u6837\u86cb\u767d\u7684\u6784\u8c61\u591a\u6001\u6027\uff0c\u4e3a\u7406\u89e3\u795e\u7ecf\u9000\u884c\u6027\u75be\u75c5\u7b49\u76f8\u5173\u75c5\u75c7\u7684\u5206\u5b50\u673a\u5236\u63d0\u4f9b\u4e86\u65b0\u7684\u7a97\u53e3\u3002<\/span><\/span><\/p>\n


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1. \u8fdb\u5316\u7684\u201c\u6f0f\u6597\u201d\u4e4b\u5916\uff1a<\/span><\/strong><\/span><\/strong><\/strong><\/p>\n

\u6dc0\u7c89\u6837\u86cb\u767d\u7684\u9519\u8bef\u6298\u53e0\u4e4b\u8def<\/span><\/strong><\/span><\/strong><\/strong><\/p>\n<\/section>\n

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\u4f17\u6240\u5468\u77e5\uff0c\u8fdb\u5316\u503e\u5411\u4e8e\u5c06\u5929\u7136\u86cb\u767d\u7684\u80fd\u91cf\u666f\u89c2\u96d5\u5851\u4e3a\u201c\u6f0f\u6597\u201d\u72b6\uff0c\u786e\u4fdd\u5b83\u4eec\u80fd\u8fc5\u901f\u800c\u51c6\u786e\u5730\u6298\u53e0\u81f3\u529f\u80fd\u6027\u7ed3\u6784\u3002\u7136\u800c\uff0c\u5e76\u975e\u6240\u6709\u86cb\u767d\u90fd\u9075\u5faa\u8fd9\u4e00\u6cd5\u5219\u3002\u8d8a\u6765\u8d8a\u591a\u7684\u7814\u7a76\u63ed\u793a\uff0c\u4e00\u7c7b\u88ab\u79f0\u4e3a\u201c\u672c\u5f81\u65e0\u5e8f<\/span>\uff08intrinsically disordered protein\uff09<\/span>\u201d\u6216\u201c\u6a21\u7cca<\/span>(Fuzzy)<\/span>\u201d\u7684\u86cb\u767d\u8d28\uff0c\u5177\u6709\u9ad8\u5ea6\u591a\u6837\u7684\u6784\u8c61\uff0c\u751a\u81f3\u5728\u65e0\u660e\u786e\u7ed3\u6784\u7684\u60c5\u51b5\u4e0b\u5b8c\u6210\u751f\u7269\u529f\u80fd\u3002\u800c\u66f4\u6781\u7aef\u7684\u662f\uff0c\u4e00\u4e9b\u86cb\u767d\u5728\u7279\u5b9a\u6761\u4ef6\u4e0b\u2014\u2014\u6bd4\u5982\u9ad8\u6d53\u5ea6\u3001pH\u53d8\u5316\u3001\u7a81\u53d8\u6216\u91d1\u5c5e\u79bb\u5b50\u5b58\u5728\u65f6\u2014\u2014\u4f1a\u81ea\u53d1\u5f62\u6210\u6dc0\u7c89\u6837\u7ea4\u7ef4\u3002\u6dc0\u7c89\u6837\u7ea4\u7ef4\u7684\u7ed3\u6784\u7279\u5f81\u4e0d\u4ec5\u9650\u4e8e\u5176\u6709\u5e8f\u6027\uff0c\u66f4\u4ee4\u4eba\u60ca\u8bb6\u7684\u662f\u5176\u201c\u591a\u6001\u6027\u201d<\/span>\uff08polymorphism\uff09<\/span>\uff1a\u540c\u4e00\u6761\u86cb\u767d\u8d28\u5e8f\u5217\u53ef\u4ee5\u5728\u4e0d\u540c\u6761\u4ef6\u4e0b\u7ec4\u88c5\u6210\u591a\u79cd\u4e09\u7ef4\u6784\u578b\uff0c\u8fd9\u79cd\u591a\u6837\u6027\u4e0d\u4ec5\u4e0e\u75be\u75c5\u7684\u53d1\u751f\u5bc6\u5207\u76f8\u5173\uff0c\u751a\u81f3\u53ef\u80fd\u51b3\u5b9a\u4e0d\u540c\u75c5\u4eba\u7684\u75be\u75c5\u7c7b\u578b\u548c\u8fdb\u5c55\u901f\u5ea6\u3002\u4f8b\u5982\uff0cA\u03b2\u86cb\u767d\u5728\u963f\u5c14\u8328\u6d77\u9ed8\u75c5\u4e2d\u7684\u4e0d\u540c\u805a\u96c6\u4f53\u5f62\u5f0f\u4e0e\u75c5\u7406\u5206\u578b\u76f8\u5173\uff0c\u03b1-Synuclein\u7684\u4e0d\u540c\u6784\u8c61\u5219\u5bf9\u5e94\u4e8e\u5e15\u91d1\u68ee\u75c5\u4e0e\u591a\u7cfb\u7edf\u840e\u7f29\u7b49\u4e0d\u540c\u795e\u7ecf\u7cfb\u7edf\u75be\u75c5\u3002<\/span><\/span><\/p>\n


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2. RibbonFold\u65b9\u6cd5\uff1a<\/span><\/strong><\/span><\/strong><\/strong><\/p>\n

\u7ed3\u6784\u751f\u7269\u5b66\u4e0eAI\u7684\u6df1\u5ea6\u878d\u5408<\/span><\/strong><\/span><\/strong><\/strong><\/p>\n<\/section>\n

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\u9762\u5bf9\u8fd9\u4e9b\u6311\u6218\uff0c\u56e2\u961f\u5f00\u53d1\u4e86RibbonFold\u65b9\u6cd5\uff0c\u5b83\u4e0d\u4ec5\u7ee7\u627f\u4e86AlphaFold2\u5728\u5e8f\u5217\u5230\u7ed3\u6784\u9884\u6d4b\u65b9\u9762\u7684\u5f3a\u5927\u80fd\u529b\uff0c\u66f4\u901a\u8fc7\u201c\u7ed3\u6784\u7ea6\u675f\u6ce8\u5165\u201d\u7b56\u7565\u4e13\u4e3a\u9884\u6d4b\u6dc0\u7c89\u6837\u86cb\u767d\u7ed3\u6784\u800c\u8bbe\u8ba1\u3002<\/span><\/span><\/p>\n


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RibbonFold\u7684\u6838\u5fc3\u521b\u65b0\u5728\u4e8e\u5f15\u5165\u201c\u4e1d\u5e26\u9650\u5236\u201d<\/span>\uff08Ribbon constraints\uff09<\/span>\u2014\u2014\u5047\u8bbe\u5728\u51e0\u4e4e\u6240\u6709\u6dc0\u7c89\u6837\u7ea4\u7ef4\u4e2d\uff0c\u5355\u4f53\u86cb\u767d\u662f\u4ee5\u5e73\u884c\u5bf9\u9f50\u7684\u03b2-\u7247\u5c42\u5f62\u5f0f\u91cd\u590d\u5806\u53e0\u3002\u8fd9\u4e00\u5047\u8bbe\u6765\u6e90\u4e8e\u5b9e\u9a8c\u89c2\u5bdf\uff0c\u662f\u6dc0\u7c89\u6837\u7ea4\u7ef4\u7684\u666e\u904d\u7ed3\u6784\u7279\u5f81\u3002RibbonFold\u901a\u8fc7\u5c06\u8fd9\u4e00\u7ed3\u6784\u7279\u5f81\u4ee5\u6a21\u677f\u5f62\u5f0f\u786c\u7f16\u7801\u8fdbAlphaFold2\u7684\u7f51\u7edc\u6846\u67b6\uff0c\u4ece\u800c\u5c06\u641c\u7d22\u7a7a\u95f4\u4ece\u5168\u4e09\u7ef4\u6298\u53e0\u7b80\u5316\u4e3a\u4e8c\u7ef4\u201c\u4e1d\u5e26\u6298\u53e0\u201d\uff0c\u6781\u5927\u5730\u63d0\u9ad8\u4e86\u9884\u6d4b\u6548\u7387\u548c\u51c6\u786e\u6027\u3002RibbonFold\u8fd8\u5f15\u5165\u4e86\u8bad\u7ec3\u591a\u6837\u6027\u635f\u5931\u51fd\u6570\uff0c\u4f7f\u5f97\u6a21\u578b\u80fd\u5b66\u4e60\u5230\u5c3d\u53ef\u80fd\u591a\u6837\u7684\u6784\u8c61\u800c\u975e\u5355\u4e00\u7ed3\u6784\uff0c\u4ece\u800c\u63a2\u7d22\u6784\u8c61\u591a\u6001\u6027\u666f\u89c2\u3002<\/span><\/span><\/p>\n<\/section>\n<\/section>\n

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\u56fe1. RibbonFold\u6a21\u578b\u6846\u67b6&\u8bad\u7ec3\u7b56\u7565<\/span><\/span><\/span><\/p>\n


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3. \u4e0e\u5b9e\u9a8c\u591a\u6001\u7ed3\u6784\u543b\u5408\uff0c\u91cd\u73b0\u591a\u6001\u9009\u62e9\u6027<\/span><\/strong><\/span><\/strong><\/strong><\/p>\n<\/section>\n

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RibbonFold\u5728\u591a\u4e2a\u7ecf\u5178\u6dc0\u7c89\u6837\u86cb\u767d\u4e0a\u7684\u9884\u6d4b\uff0c\u5c55\u793a\u4e86\u5b83\u4e0d\u4ec5\u80fd\u51c6\u786e\u9884\u6d4b\u51fa\u5df2\u77e5\u7684\u591a\u6001\u6784\u8c61\uff0c\u800c\u4e14\u6784\u8c61\u4e4b\u95f4\u7684\u76f8\u5bf9\u7a33\u5b9a\u6027\u6392\u5e8f<\/span>\uff08\u57fa\u4e8e\u7269\u7406\u80fd\u91cf\u6253\u5206\uff09<\/span>\u4e5f\u4e0e\u5b9e\u9a8c\u7ed3\u679c\u4e00\u81f4\u3002\u4f8b\u5982\uff0c\u5728A\u03b2\u548cTau\u86cb\u767d\u4e2d\uff0cRibbonFold\u80fd\u533a\u5206\u51fa\u5728\u4e0d\u540c\u6eb6\u89e3\u5ea6\u548c\u751f\u7406\u6761\u4ef6\u4e0b\u5f62\u6210\u7684\u4e0d\u540c\u7ea4\u7ef4\u7c7b\u578b\uff0c\u63ed\u793a\u591a\u6001\u7ed3\u6784\u7684\u5f62\u6210\u53ef\u80fd\u4e0e\u73af\u5883\u9009\u62e9\u538b\u529b\u6709\u5173\u3002<\/span><\/span><\/p>\n


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\u66f4\u91cd\u8981\u7684\u662f\uff0c\u56e2\u961f\u5229\u7528RibbonFold\u5bf9\u968f\u673a\u6253\u4e71\u7684\u5e8f\u5217\u8fdb\u884c\u4e86\u7cfb\u7edf\u6027\u6d4b\u8bd5\uff0c\u53d1\u73b0\u5c3d\u7ba1\u5b83\u4eec\u4e5f\u80fd\u5f62\u6210\u67d0\u79cd\u805a\u96c6\u6784\u8c61\uff0c\u4f46\u8fd9\u4e9b\u6784\u8c61\u5728\u80fd\u91cf\u4e0a\u663e\u8457\u4e0d\u7a33\u5b9a\u4e14\u5206\u5e03\u5e7f\u6cdb\uff0c\u7f3a\u4e4f\u81ea\u7136\u5e8f\u5217\u4e2d\u89c2\u5bdf\u5230\u7684\u201c\u805a\u96c6\u503e\u5411\u6027\u201d\u548c\u201c\u6709\u9650\u591a\u6837\u6027\u201d\u3002\u8fd9\u4e00\u53d1\u73b0\u63d0\u793a\uff0c\u90a3\u66f4\u7a33\u5b9a\u3001\u66f4\u4e0d\u5bb9\u6613\u88ab\u6eb6\u89e3\u7684\u7ed3\u6784\u6700\u7ec8\u4f1a\u5360\u636e\u4e3b\u5bfc\u5730\u4f4d\uff0c\u4ece\u800c\u4e5f\u5bfc\u81f4\u4e86\u6dc0\u7c89\u6837\u86cb\u767d\u6709\u9650\u7684\u591a\u6001\u6027\u3002<\/span><\/span><\/p>\n<\/section>\n<\/section>\n

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\u56fe2.RibbonFold\u7ed3\u6784\u9884\u6d4b\u91cd\u73b0\u6dc0\u7c89\u6837\u86cb\u767d\u591a\u6001\u9009\u62e9\u6027<\/span><\/span><\/span><\/p>\n


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4. <\/span>\u672a\u6765\u5c55\u671b\uff1a\u4ece\u7ed3\u6784\u9884\u6d4b\u5230\u529f\u80fd\u53d1\u73b0<\/span><\/strong><\/span><\/strong><\/strong><\/strong><\/span><\/strong><\/strong><\/p>\n<\/section>\n

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RibbonFold\u4e0d\u4ec5\u4ec5\u662f\u4e00\u4e2a\u9884\u6d4b\u5de5\u5177\uff0c\u5b83\u75be\u75c5\u673a\u5236\u63a2\u7d22\u548c\u836f\u7269\u53d1\u73b0\u5f00\u542f\u4e86\u591a\u79cd\u65b0\u7684\u53ef\u80fd\u6027\u3002<\/span><\/span><\/p>\n


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\n

\u660c\u5e73\u5b9e\u9a8c\u5ba4\u5de5\u7a0b\u5e08\u90ed\u826f\u8d8a\uff0c\u52a9\u7406\u7814\u7a76\u5458\u4f59\u5176\u6797\u4e3a\u5171\u540c\u7b2c\u4e00\u4f5c\u8005\uff1b\u52a9\u7406\u5de5\u7a0b\u5e08\u738b\u8fea\u548c\u5434\u5c0f\u96e8\u4e3a\u672c\u5de5\u4f5c\u505a\u51fa\u91cd\u8981\u8d21\u732e\uff1b\u83b1\u65af\u5927\u5b66Peter Wolynes\u548c\u660c\u5e73\u5b9e\u9a8c\u5ba4\u9886\u8854\u79d1\u5b66\u5bb6\u9648\u660e\u8fb0\u4e3a\u8be5\u5de5\u4f5c\u7684\u5171\u540c\u901a\u8baf\u4f5c\u8005\u3002<\/span><\/span><\/p>\n<\/section>\n


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\u751f\u547d\u590d\u6742\u6027\u8bfb\u4e66\u4f1a\uff1a<\/span><\/strong><\/p>\n

\u751f\u547d\u590d\u6742\u7cfb\u7edf\u7684\u6784\u6210\u539f\u7406<\/span><\/strong>
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\u8be6\u60c5\u8bf7\u89c1\uff1a<\/span><\/span><\/section>\n

\u751f\u547d\u590d\u6742\u6027\u8bfb\u4e66\u4f1a\uff1a\u4ece\u5fae\u89c2\u5230\u5b8f\u89c2\uff0c\u591a\u5c3a\u5ea6\u89c6\u89d2\u63a2\u7d22\u751f\u547d\u590d\u6742\u7cfb\u7edf\u7684\u6784\u6210\u539f\u7406<\/a><\/span><\/span><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


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\u975e\u5e73\u8861\u7edf\u8ba1\u7269\u7406\u8bfb\u4e66\u4f1a<\/span><\/strong><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


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\u4e3a\u4e86\u6df1\u5165\u63a2\u7d22\u7edf\u8ba1\u7269\u7406\u524d\u6cbf\u8fdb\u5c55\uff0c<\/span><\/span>\u96c6\u667a\u4ff1\u4e50\u90e8\u8054\u5408\u897f\u6e56\u5927\u5b66\u7406\u5b66\u9662\u53ca\u4ea4\u53c9\u79d1\u5b66\u4e2d\u5fc3\u8bb2\u5e2d\u6559\u6388\u6c64\u96f7\u7ff0\u3001\u7ebd\u7ea6\u5dde\u7acb\u5927\u5b66\u77f3\u6eaa\u5206\u6821\u5316\u5b66\u548c\u7269\u7406\u5b66\u7cfb\u6559\u6388\u6c6a\u52b2\u3001\u5fb7\u7d2f\u65af\u987f\u7cfb\u7edf\u751f\u7269\u5b66\u4e2d\u5fc3\u535a\u58eb\u540e\u7814\u7a76\u5458\u6881\u5e08\u7fce\u3001\u9999\u6e2f\u6d78\u4f1a\u5927\u5b66\u7269\u7406\u7cfb\u52a9\u7406\u6559\u6388\u5510\u4e7e\u5143\uff0c\u4ee5\u53ca\u591a\u4f4d\u56fd\u5185\u5916\u77e5\u540d\u5b66\u8005\u5171\u540c\u53d1\u8d77\u300c\u975e\u5e73\u8861\u7edf\u8ba1\u7269\u7406\u300d\u8bfb\u4e66\u4f1a<\/a>\u3002\u8bfb\u4e66\u4f1a\u65e8\u5728\u63a2\u8ba8\u7edf\u8ba1\u7269\u7406\u5b66\u7684\u6700\u65b0\u7406\u8bba\u7a81\u7834\uff0c\u7edf\u8ba1\u7269\u7406\u5728\u590d\u6742\u7cfb\u7edf\u548c\u751f\u547d\u79d1\u5b66\u4e2d\u7684\u5e94\u7528\uff0c\u4ee5\u53ca\u4e0e\u673a\u5668\u5b66\u4e60\u7b49\u524d\u6cbf\u9886\u57df\u7684\u4ea4\u53c9\u7814\u7a76\u3002\u8bfb\u4e66\u4f1a\u5df2\u5b8c\u7ed3\uff0c\u73b0\u5728\u62a5\u540d\u53ef\u52a0\u5165\u793e\u7fa4\u5e76\u89e3\u9501\u56de\u653e\u89c6\u9891\u6743\u9650\u3002<\/span><\/span><\/span><\/p>\n


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\"\u56fe\u7247\"<\/span><\/a><\/section>\n

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\u8be6\u60c5\u8bf7\u89c1\uff1a<\/span><\/span>\u4ece\u70ed\u529b\u5b66\u3001\u751f\u547d\u5230\u4eba\u5de5\u667a\u80fd\u7684\u7edf\u8ba1\u7269\u7406\u4e4b\u8def\uff1a\u975e\u5e73\u8861\u7edf\u8ba1\u7269\u7406\u8bfb\u4e66\u4f1a\u542f\u52a8\uff01<\/a><\/span><\/span><\/p>\n


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