{"id":44984,"date":"2023-09-08T19:31:43","date_gmt":"2023-09-08T11:31:43","guid":{"rendered":"https:\/\/swarma.org\/?p=44984"},"modified":"2023-09-08T19:31:43","modified_gmt":"2023-09-08T11:31:43","slug":"ai%e5%8a%a9%e5%8a%9b%e8%9b%8b%e7%99%bd%e8%b4%a8%e7%a7%91%e5%ad%a6%ef%bc%9a%e4%bb%8e%e5%ae%9e%e9%aa%8c%e7%bb%93%e6%9e%84%e5%bb%ba%e6%a8%a1%e5%88%b0%e7%b2%be%e7%a1%ae%e8%ae%a1%e7%ae%97%e8%ae%be%e8%ae%a1","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=44984","title":{"rendered":"AI\u52a9\u529b\u86cb\u767d\u8d28\u79d1\u5b66\uff1a\u4ece\u5b9e\u9a8c\u7ed3\u6784\u5efa\u6a21\u5230\u7cbe\u786e\u8ba1\u7b97\u8bbe\u8ba1\u5b66 | \u5468\u65e5\u76f4\u64ad\u00b7\u751f\u7269\u533b\u5b66\u5927\u6a21\u578b\u8bfb\u4e66\u4f1a"},"content":{"rendered":"
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DNA\u548c\u86cb\u767d\u8d28\u662f\u627f\u8f7d\u9057\u4f20\u4fe1\u606f\u7684\u751f\u7269\u5927\u5206\u5b50\uff0c\u901a\u8fc7\u7f16\u7801\u8c03\u63a7\u751f\u547d\u4e2d\u7684\u7ed3\u6784\u53c2\u4e0e\u4e00\u7cfb\u5217\u7269\u7406\u548c\u5316\u5b66\u8fc7\u7a0b\uff0c\u6784\u6210\u4e86\u751f\u547d\u7684\u57fa\u672c\u84dd\u56fe\u3002\u7136\u800c\uff0c\u52a8\u6001\u7684\u9057\u4f20\u3001\u6f14\u5316\u673a\u5236\u5177\u6709\u8def\u5f84\u4f9d\u8d56\u6027\uff0c\u751f\u547d\u7684\u5206\u5b50\u57fa\u7840\u5728\u8fed\u4ee3\u8fc7\u7a0b\u4e2d\u53d7\u9650\u4e8e\u5b83\u4eec\u4e0e\u73af\u5883\u4ea4\u4e92\u7684\u65b9\u5f0f\u4e0e\u901f\u5ea6\uff0c\u8fd9\u5bf9\u6211\u4eec\u5728\u5e94\u5bf9\u7a81\u53d1\u4f20\u67d3\u75c5\uff0c\u73af\u5883\u6076\u5316\uff0c\u751f\u7269\u667a\u9020\u7b49\u95ee\u9898\u65f6\u6784\u6210\u4e86\u6781\u5927\u9650\u5236\u3002\u5f53\u4eca\u751f\u547d\u79d1\u5b66\u4e0e\u5206\u5b50\u5de5\u7a0b\u5b66\u7684\u524d\u6cbf\u95ee\u9898\u4e4b\u4e00\u5373\u662f\u5982\u4f55\u6709\u6548\u63a2\u7d22\u5e7f\u5927\u7684\u53ef\u7f16\u8bd1\u9057\u4f20\u5e8f\u5217\u7a7a\u95f4\uff0c\u6839\u636e\u65b0\u7684\u9700\u6c42\u548c\u5e94\u7528\u573a\u666f\u8bbe\u8ba1\u4ea7\u751f\u529f\u80fd\u5206\u5b50\u548c\u7ed3\u6784\u3001\u4ece\u800c\u8c03\u8282\u751f\u547d\u8fc7\u7a0b\uff0c\u8fd9\u5bf9\u4eba\u7c7b\u5065\u5eb7\u4e0e\u53ef\u6301\u7eed\u53d1\u5c55\u90fd\u6709\u79ef\u6781\u610f\u4e49\u3002<\/span><\/strong><\/p>\n


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\u672c\u6b21\u5206\u4eab\uff0c\u6211\u4eec\u9080\u8bf7\u4e86\u6765\u81ea\u534e\u76db\u987f\u5927\u5b66\u86cb\u767d\u8bbe\u8ba1\u4e2d\u5fc3\u535a\u58eb\u540e\u7814\u7a76\u5458\u738b\u987a\u667a\u4ee5\u53ca\u666e\u6e21\u5927\u5b66\u8ba1\u7b97\u673a\u7cfb\u535a\u58eb\u751f\u738b\u8653\u6765\u5bf9AI\u4e0e\u86cb\u767d\u8d28\u5b9e\u9a8c\u6784\u5efa\u548c\u8bbe\u8ba1\u76f8\u5173\u7684\u6700\u65b0\u5de5\u4f5c\u8fdb\u884c\u5206\u4eab\u548c\u8ba8\u8bba\u3002<\/span><\/strong><\/p>\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<\/a>\u201d\u4e3a\u4e3b\u9898\u7684\u8bfb\u4e66\u4f1a\uff0c\u5171\u5b66\u5171\u7814\u76f8\u5173\u6587\u732e\uff0c\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\u8bfb\u4e66\u4f1a\u4ece2023\u5e748\u670820\u65e5\u5f00\u59cb\uff0c\u6bcf\u5468\u65e5\u65e9\u4e0a 9:00-11:00 \u7ebf\u4e0a\u4e3e\u884c\uff0c\u6301\u7eed\u65f6\u95f4\u9884\u8ba18\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><\/strong><\/p>\n<\/section>\n

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<\/mp-common-videosnap><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n
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\u57fa\u4e8e\u6df1\u5ea6\u5b66\u4e60\u7684\u5927\u5206\u5b50\u7ed3\u6784\u68c0\u6d4b\u4e0e\u5efa\u6a21<\/strong><\/strong><\/strong><\/p>\n<\/section>\n

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\u5728\u751f\u547d\u79d1\u5b66\u4e2d\uff0c\u786e\u5b9a\u86cb\u767d\u8d28\u548c\u86cb\u767d\u8d28\u590d\u5408\u7269\u7b49\u5927\u5206\u5b50\u7ed3\u6784\u81f3\u5173\u91cd\u8981\uff0c\u56e0\u4e3a\u8fd9\u4e9b\u5206\u5b50\u5728\u7ec6\u80de\u5185\u53d1\u6325\u7740\u5173\u952e\u4f5c\u7528\u3002\u5927\u5206\u5b50\u7684\u5177\u4f53\u7269\u7406\u76f8\u4e92\u4f5c\u7528\u4e3b\u5bfc\u4e86\u5206\u5b50\u548c\u7ec6\u80de\u529f\u80fd\uff0c\u56e0\u6b64\u89e3\u6790\u8fd9\u4e9b\u5b9e\u4f53\u7684\u4e09\u7ef4\u7ed3\u6784\u5bf9\u4e8e\u7406\u89e3\u751f\u547d\u8fc7\u7a0b\u3001\u75be\u75c5\u548c\u836f\u7269\u53d1\u73b0\u673a\u5236\u81f3\u5173\u91cd\u8981\u3002\u51b7\u51bb\u7535\u5b50\u663e\u5fae\u955c\uff08cryo-EM\uff09\u5df2\u7ecf\u6210\u4e3a\u4e00\u79cd\u6709\u671b\u7528\u4e8e\u83b7\u53d6\u4e09\u7ef4\u5927\u5206\u5b50\u7ed3\u6784\u7684\u5b9e\u9a8c\u6280\u672f\u3002<\/span><\/section>\n

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\u957f\u4e45\u4ee5\u6765\uff0c\u56ff\u4e8e\u5b9e\u9a8c\u65b9\u6cd5\u7684\u9650\u5236\u548c\u663e\u5fae\u955c\u7684\u5206\u8fa8\u7387\uff0c\u786e\u5b9a\u5927\u5206\u5b50\u7ed3\u6784\uff0c\u5c24\u5176\u662f\u591a\u94fe\u86cb\u767d\u8d28\u5206\u5b50\u4e00\u76f4\u4ee5\u6765\u90fd\u662f\u4e00\u4e2a\u975e\u5e38\u8d39\u65f6\u8d39\u529b\u7684\u5de5\u4f5c\u3002\u968f\u7740\u6df1\u5ea6\u5b66\u4e60\u548c\u51b7\u51bb\u7535\u955c\u6280\u672f\u7684\u51fa\u73b0\uff0c\u4e3a\u81ea\u52a8\u5316\u5927\u5206\u5b50\u5efa\u6a21\u63d0\u4f9b\u4e86\u53ef\u80fd\u3002<\/span><\/section>\n

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\u672c\u6b21\u4ea4\u6d41\uff0c\u6211\u5c06\u4e3b\u8981\u8ba8\u8bba\u6211\u4eec\u8fd1\u671f\u5728\u86cb\u767d\u8d28\uff0cDNA\/RNA\u5927\u5206\u5b50\u5efa\u6a21\u7684\u7814\u7a76\u8fdb\u5c55\uff0c\u5305\u62ec\u5982\u4f55\u4ece\u4f4e\u5206\u8fa8\u7387\u51b7\u51bb\u7535\u955c\u8fdb\u884c\u86cb\u767d\u8d28\u548cDNA\/RNA\u8bc6\u522b\uff0c\u5982\u4f55\u57fa\u4e8e\u9ad8\u5206\u8fa8\u7387\u51b7\u51bb\u7535\u955c\u8fdb\u884c\u86cb\u767d\u8d28\uff0cDNA\/RNA\u5efa\u6a21\u3002<\/span><\/section>\n


<\/p>\n

1. \u80cc\u666f\u7b80\u4ecb<\/span><\/strong><\/span><\/p>\n

a. \u4e2d\u5fc3\u6cd5\u5219<\/span><\/section>\n
b. \u51b7\u51bb\u7535\u955c\u80cc\u666f<\/span><\/section>\n

c. \u5927\u5206\u5b50\u591a\u7ea7\u7ed3\u6784<\/span><\/p>\n

2. \u7814\u7a76\u5206\u4eab#1 – \u57fa\u4e8e\u6df1\u5ea6\u5b66\u4e60\u7684\u5927\u5206\u5b50\u7ed3\u6784\u68c0\u6d4b\uff1a<\/span><\/strong><\/span><\/p>\n

a. \u95ee\u9898\uff1a\u5982\u4f55\u5728\u51b7\u51bb\u7535\u955c\u56fe\u50cf\u4e2d\u9884\u6d4b<\/span><\/section>\n
b. \u65b9\u6cd5\uff1a\u6df1\u5ea6\u5b66\u4e60\u7f51\u7edc\u68c0\u6d4b<\/span><\/section>\n

c. \u7ed3\u679c\uff1a\u86cb\u767d\u8d28\u4e8c\u7ef4\u7ed3\u6784\uff0c\u6c28\u57fa\u9178\uff0c\u539f\u5b50\uff0cDNA\/RNA\u7ed3\u6784\u8bc6\u522b<\/span><\/p>\n

3. \u7814\u7a76\u5206\u4eab#2 – \u86cb\u767d\u8d28\u7ed3\u6784\u8bc4\u4f30\uff1a<\/span><\/strong><\/span><\/p>\n

a. \u95ee\u9898\uff1a\u5982\u4f55\u786e\u5b9a\u86cb\u767d\u8d28\u7ed3\u6784\u662f\u5426\u6b63\u786e<\/span><\/section>\n
b. \u65b9\u6cd5\uff1a\u7ed3\u5408\u6df1\u5ea6\u5b66\u4e60\u68c0\u6d4b\u7ed3\u679c\u4ece\u591a\u4e2a\u65b9\u9762\u5206\u6790\u86cb\u767d\u8d28\u7ed3\u6784<\/span><\/section>\n

c. \u7ed3\u679c\uff1a\u86cb\u767d\u8d28\u7ed3\u6784\u8bc4\u4f30\u8f6f\u4ef6\uff0c\u86cb\u767d\u8d28\u7ed3\u6784\u8bc4\u5206\u6570\u636e\u5e93<\/span><\/p>\n

4. \u7814\u7a76\u5206\u4eab#3 – \u86cb\u767d\u8d28\uff0cDNA, RNA\u7ed3\u6784\u81ea\u52a8\u5efa\u6a21\uff1a<\/span><\/strong><\/span><\/p>\n

a. \u95ee\u9898\uff1a\u5982\u4f55\u81ea\u52a8\u5316\u7684\u4ece\u51b7\u51bb\u7535\u955c\u56fe\u50cf\u4e2d\u5efa\u7acb\u5927\u5206\u5b50\u7ed3\u6784\uff1f<\/span><\/section>\n
b. \u65b9\u6cd5\uff1a\u57fa\u4e8e\u6df1\u5ea6\u5b66\u4e60\u548cVRP\u7b97\u6cd5\u7684\u81ea\u52a8\u5316\u5efa\u6a21<\/span><\/section>\n

c. \u7ed3\u679c\uff1a\u81ea\u52a8\u5316\u86cb\u767d\u8d28\uff0cDNA\uff0cRNA\u5efa\u6a21<\/span><\/p>\n

5. \u603b\u7ed3\u4e0e\u5c55\u671b<\/span><\/strong><\/span><\/p>\n


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\u8ba1\u7b97\u86cb\u767d\u8d28\u8bbe\u8ba1:\u4eceAlphaFold\u5230\u5f3a\u5316\u5b66\u4e60<\/strong><\/strong><\/strong><\/p>\n<\/section>\n

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<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/h3>\n

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\u957f\u4e45\u4ee5\u6765\uff0c\u56ff\u4e8e\u7269\u7406\u6a21\u578b\u7684\u7cbe\u5ea6\uff0c\u6211\u4eec\u5bf9\u4e30\u5bcc\u4e14\u590d\u6742\u7684\u86cb\u767d-\u86cb\u767d\u3001DNA-\u86cb\u767d\u76f8\u4e92\u4f5c\u7528\u7684\u7814\u7a76\u8fdb\u5c55\u53d7\u56f0\u3002\u4f46\u8fd9\u4e00\u50f5\u5c40\u5728\u8fd1\u5e74\u88ab\u57fa\u56e0\u4e0e\u86cb\u767d\u7ec4\u5b66\u7684\u5feb\u901f\u53d1\u5c55\u4e0eAlphaFold\u7684\u6a2a\u7a7a\u51fa\u4e16\u6253\u7834\u3002\u57fa\u4e8e\u5927\u6570\u636e\u8bad\u7ec3\u7684\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u4e0d\u65ad\u6316\u6398\u5e8f\u5217\u4fe1\u606f-3\u7ef4\u7ed3\u6784-\u751f\u7269\u529f\u80fd\u7684\u6784\u6548\u5173\u7cfb\uff0c\u9a71\u52a8\u4e86\u8ba1\u7b97\u86cb\u767d\u8d28\u7684\u7ed3\u6784\u9884\u6d4b\u4e0e\u4ece\u5934\u8bbe\u8ba1\uff08de novo\uff09\u7684\u9ad8\u901f\u53d1\u5c55\uff0c\u5e76\u4e0d\u65ad\u88ab\u5b9e\u9a8c\u6240\u9a8c\u8bc1\u3002\u8fd9\u4e9b\u7a81\u7834\u8ba9\u6211\u4eec\u770b\u5230\u6e7f\u5b9e\u9a8c\u4e0eAI\u6709\u673a\u7ed3\u5408\u7684\u8bf8\u591a\u6210\u529f\u6848\u4f8b\uff0c\u6b63\u5728\u91cd\u65b0\u5851\u9020\u57fa\u7840\u79d1\u5b66\u7684\u4fe1\u606f\u5316\u7814\u7a76\u65b0\u8303\u5f0f\u3002<\/span><\/section>\n

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\u672c\u6b21\u4ea4\u6d41\uff0c\u6211\u5c06\u4e3b\u8981\u8ba8\u8bba\u6211\u4eec\u8fd1\u671f\u5728\u8ba1\u7b97\u86cb\u767d\u8d28\u8bbe\u8ba1\u9886\u57df\u7684\u7814\u7a76\u8fdb\u5c55\u4e0e\u601d\u8003\uff0c\u5305\u62ec\u5982\u4f55\u5728\u86cb\u767d\u8bbe\u8ba1\u79cd\u5f15\u5165\u5f3a\u5316\u5b66\u4e60\u7b97\u6cd5\uff0c\u8bbe\u8ba1\u7c7b\u4f3c\u75c5\u6bd2\u7684\u591a\u805a\u4f53\u86cb\u767d\u8d28\u8863\u58f3 – \u4f5c\u4e3a\u6f5c\u5728\u7684\u4fe1\u53f7\u901a\u8def\u53ca\u75ab\u82d7\u8f7d\u4f53\uff1b\u4ee5\u53ca\u8bbe\u8ba1\u53ef\u5728\u7ec6\u80de\u5185\u8868\u8fbe\u7684\u65b0\u578b\u81ea\u7ec4\u88c5\u86cb\u767d\u6676\u4f53\u6750\u6599\uff1b\u8fd8\u6709\u5982\u4f55\u6784\u7b51\u7b80\u5316\u7248\u7684\u5149\u5408\u4f5c\u7528\u76f8\u5173\u4f53\u7cfb\u3002\u8fd9\u4e9b\u63a2\u7d22\u4e0d\u4ec5\u6d89\u53ca\u65b0\u7684\u751f\u7269\u6750\u6599\u4ee5\u53ca\u6f5c\u5728\u7684\u6280\u672f\u5e94\u7528\uff0c\u66f4\u91cd\u8981\u7684\u662f\u8fd8\u4e3a\u6211\u4eec\u5e26\u6765\u4e86\u4e00\u7cfb\u5217\u65b0\u7684\u8bbe\u8ba1\u601d\u8def\u4e0e\u5de5\u5177\u7528\u4e8e\u9a71\u52a8\u57fa\u7840\u79d1\u5b66\u7684\u65b0\u53d1\u73b0\u3002<\/span><\/section>\n


<\/p>\n

6. \u80cc\u666f\u7b80\u4ecb<\/span><\/strong><\/span><\/p>\n

a. \u4eba\u5de5\u667a\u80fd\u4ece\u6e38\u620f\u5230\u52a9\u529b\u79d1\u5b66<\/span><\/section>\n
b. \u9057\u4f20\u5e8f\u5217\u4f5c\u4e3a1\u7ef4\u4fe1\u606f\u7f16\u7801\u4e86\u751f\u547d\u8fc7\u7a0b\u4e2d\u7684\u7ed3\u6784\u4e0e\u529f\u80fd<\/span><\/section>\n
c. \u751f\u547d\u79d1\u5b66\u4e2d\u81ea\u7ec4\u88c5\u7684\u5206\u5b50\u57fa\u7840<\/span><\/section>\n

d. \u86cb\u767d\u8d28\u7684\u4ece\u5934\u8bbe\u8ba1\u80cc\u666f\u7b80\u4ecb<\/span><\/p>\n

7. \u7814\u7a76\u5206\u4eab#1 – \u81ea\u4e0a\u800c\u4e0b\u86cb\u767d\u8d28\u7ec4\u88c5\u63d0\u8bbe\u8ba1\uff1a<\/span><\/strong><\/span><\/p>\n

a. \u95ee\u9898\uff1a\u5982\u4f55\u5728\u51e0\u4f55\u7ea6\u675f\u6761\u4ef6\u4e0b\u521b\u5efa\u9ad8\u5ea6\u4e92\u8865\u53ef\u8bbe\u8ba1\u7684\u86cb\u767d\u9aa8\u67b6<\/span><\/section>\n
b. \u65b9\u6cd5\uff1a\u5f3a\u5316\u5b66\u4e60\u63a2\u7d22\u4f18\u5316\u91c7\u6837\u7ed3\u6784\u7a7a\u95f4<\/span><\/section>\n

c. \u7ed3\u679c\uff1a\u4ece\u5934\u8bbe\u8ba1\u6b63\u4e8c\u5341\u9762\u4f53\u7c7b\u75c5\u6bd2\u9897\u7c92<\/span><\/p>\n

8. \u7814\u7a76\u5206\u4eab#2 – \u8ba1\u7b97\u8bbe\u8ba13D\u86cb\u767d\u8d28\u6676\u4f53\uff1a<\/span><\/strong><\/span><\/p>\n

a. \u95ee\u9898\uff1a\u5982\u4f55\u901a\u8fc7\u8ba1\u7b97\u5c06\u4e0d\u89c4\u5219\u7ed3\u6784\u86cb\u767d\u8d28\u57283\u7ef4\u7a7a\u95f4\u81ea\u7ec4\u88c5\u7ed3\u6676<\/span><\/section>\n
b. \u65b9\u6cd5\uff1a\u9010\u5c42\u7ec4\u88c5\u964d\u4f4e\u7cfb\u7edf\u81ea\u7531\u5ea6\uff0c\u4f18\u5316\u86cb\u767d-\u86cb\u767d\u754c\u9762\u4e8c\u7ea7\u7ed3\u6784\u76f8\u4e92\u4f5c\u7528<\/span><\/section>\n

c. \u7ed3\u679c\uff1a3\u79cd\u4ece\u5934\u8bbe\u8ba1\u6676\u4f53\uff0c\u4e0e\u8ba1\u7b97\u6a21\u578b\u63a5\u8fd1\u539f\u5b50\u5c3a\u5ea6\u543b\u5408\uff0c\u53ef\u5728\u7ec6\u80de\u5185\u7ed3\u6676<\/span><\/p>\n

9. \u7814\u7a76\u5206\u4eab#3 – \u8ba1\u7b97\u8bbe\u8ba1\u5168\u65b0\u53f6\u7eff\u7d20\u7ed3\u5408\u86cb\u767d\u7528\u4e8e\u4eba\u9020\u5149\u548c\u4f5c\u7528\uff1a<\/span><\/strong><\/span><\/p>\n

a. \u95ee\u9898\uff1a\u628a\u53f6\u7eff\u7d20\u88c5\u8fdb\u51b0\u7bb1\u86cb\u767d\u8d28\uff0c\u603b\u5171\u5206\u51e0\u6b65\uff1f<\/span><\/section>\n
b. \u65b9\u6cd5\uff1a\u5c0f\u5206\u5b50\u4e0e\u86cb\u767d\u4fa7\u94fe\u57fa\u56e2\u76f8\u4e92\u4f5c\u7528\u9884\u6d4b\uff0c\u5c40\u90e8\u6784\u8c61\u5d4c\u5957\u5165\u5de5\u7a0b\u9aa8\u67b6<\/span><\/section>\n

c. \u7ed3\u679c\uff1a\u53f6\u7eff\u7d20\u7ed3\u5408\u4e8c\u805a\u4f53\u86cb\u767d\u53ef\u7528\u4e8e\u80fd\u91cf\u8f6c\u79fb\uff0c\u542b\u53f6\u7eff\u7d20\u7eb3\u7c73\u86cb\u767d\u7b3c\u3002<\/span><\/p>\n

10. \u603b\u7ed3\u4e0e\u5c55\u671b<\/span><\/strong><\/span><\/p>\n


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\u738b\u987a\u667a<\/span><\/strong>\u73b0\u4efb\u534e\u76db\u987f\u5927\u5b66\u86cb\u767d\u8bbe\u8ba1\u4e2d\u5fc3\u535a\u58eb\u540e\u7814\u7a76\u5458\uff0c\u5408\u4f5c\u5bfc\u5e08\u4e3aDavid Baker\u6559\u6388\u3002\u7814\u7a76\u65b9\u5411\u4e3a\u751f\u7269\u5927\u5206\u5b50\u7684\u53ef\u7f16\u7a0b\u81ea\u7ec4\u88c5\uff0c\u6db5\u76d6\u8ba1\u7b97\u86cb\u767d\u8d28\u8bbe\u8ba1\uff0cDNA\u7eb3\u7c73\u6280\u672f\uff0c\u751f\u7269-\u65e0\u673a\u754c\u9762\u5316\u5b66\u3002\u738b\u987a\u667a\u5148\u540e\u5728\u7f8e\u56fd\u5317\u5361\u83b1\u7f57\u7eb3\u6559\u5802\u5c71\u5206\u6821\u548c\u897f\u5317\u5927\u5b66\u83b7\u5f97\u5316\u5b66\u5b66\u58eb\u548c\u535a\u58eb\u5b66\u4f4d\uff0c\u535a\u58eb\u5bfc\u5e08\u4e3aChad Mirkin\u6559\u6388\u3002\u4ee3\u8868\u5de5\u4f5c\u5305\u62ec\u53d1\u73b0DNA\u80f6\u4f53\u6676\u4f53\u4e2d\u7684\u7c7b\u7535\u5b50\u9897\u7c92\uff0c\u57fa\u4e8e\u5f3a\u5316\u5b66\u4e60\u81ea\u4e0a\u800c\u4e0b\u8bbe\u8ba1\u86cb\u767d\u8d28\u7ec4\u88c5\u4f53\uff0c\u4ece\u5934\u8bbe\u8ba13\u7ef4\u86cb\u767d\u6676\u4f53\u7b49\u3002\u7cfb\u5217\u7814\u7a76\u6210\u679c\u5728Science, Nature Materials, J. Am. Chem. Soc., Nature Communications, Advanced Materials \u7b49\u671f\u520a\u53d1\u8868\u3002<\/span><\/section>\n

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\u738b\u8653<\/span><\/strong>\u73b0\u4e3a\u666e\u6e21\u5927\u5b66\u8ba1\u7b97\u673a\u7cfb\u535a\u58eb\u751f\uff0c\u6307\u5bfc\u5bfc\u5e08\u4e3aDaisuke Kihara\u6559\u6388\uff0c\u7814\u7a76\u65b9\u5411\u4e3a\u751f\u7269\u5927\u5206\u5b50\u81ea\u52a8\u5efa\u6a21\uff0c\u6db5\u76d6\u86cb\u767d\u8d28\u9884\u6d4b\uff0cDNA\/RNA\u5efa\u6a21\uff0c\u4ee5\u53ca\u86cb\u767d\u8d28\u590d\u5408\u7269\u9884\u6d4b\u548c\u8bc4\u4f30\u3002\u4ee3\u8868\u5de5\u4f5c\u4e3a\u57fa\u4e8e\u6df1\u5ea6\u5b66\u4e60\u7684\u86cb\u767d\u8d28\u7ed3\u6784\u5efa\u6a21\uff0cDNA\/RNA\u7ed3\u6784\u5efa\u6a21\u3002\u7cfb\u5217\u7814\u7a76\u6210\u679c\u53d1\u8868\u5728Nature Methods, Nature Communications\u7b49\u671f\u520a\u3002<\/span><\/section>\n

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2023\u5e749\u670810\u65e5\uff08\u672c\u5468\u65e5\uff09\u4e0a\u534810:00-12:00<\/span><\/p>\n


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\u7ebf\u4e0a\u4f1a\u8bae\u5ba4<\/span><\/strong><\/h3>\n
\u626b\u7801\u53c2\u4e0e\u5927\u6a21\u578b\u4e0e\u751f\u7269\u533b\u5b66\u8bfb\u4e66\u4f1a\uff0c\u52a0\u5165\u7fa4\u804a\uff0c\u83b7\u53d6\u7cfb\u5217\u8bfb\u4e66\u4f1a\u56de\u770b\u6743\u9650\uff0c\u6210\u4e3a\u5927\u6a21\u578b\u4e0e\u751f\u7269\u79d1\u5b66\u8bfb\u4e66\u4f1a\u7684\u79cd\u5b50\u7528\u6237\uff0c\u4e0e\u793e\u533a\u7684\u4e00\u7ebf\u79d1\u7814\u5de5\u4f5c\u8005\u4e0e\u4f01\u4e1a\u5b9e\u8df5\u8005\u6c9f\u901a\u4ea4\u6d41\uff0c\u5171\u540c\u63a8\u52a8AI+Science\u793e\u533a\u7684\u53d1\u5c55\u3002<\/span><\/section>\n

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(1) Li, Z.;\u2020 Wang, S.;\u2020 Nattermann, U.;\u2020 Bera, A. K.; Borst, A. J.; et al. Accurate Computational Design of 3D Protein Crystals. Nat. Mater. 2023, accepted. Doi: https:\/\/doi.org\/10.1101\/2022.11.18.517014. (\u2020 equal author contribution)<\/span><\/p>\n

(2) Lutz, I. D.;\u2020 Wang, S.;\u2020 Norn, C.;\u2020 Courbet, A.; Borst, A. J.; et al. Top-down Design of Protein Architectures with Reinforcement Learning. Science 2023, 380 (6642), 266\u2013273. https:\/\/doi.org\/10.1126\/science.adf6591.<\/span><\/p>\n

(3) Watson, J. L.;\u2020 Juergens, D.;\u2020 Bennett, N. R.;\u2020 Trippe, B. L.;\u2020 Yim, J.;\u2020 et al. De Novo Design of Protein Structure and Function with RFdiffusion. Nature 2023, 620 (7976), 1089\u20131100. https:\/\/doi.org\/10.1038\/s41586-023-06415-8.<\/span><\/p>\n

(4) Dauparas, J.; Anishchenko, I.; Bennett, N.; Bai, H.; Ragotte, R. J.; et al. Robust Deep Learning\u2013Based Protein Sequence Design Using ProteinMPNN. Science 2022, 378 (6615), 49\u201356. https:\/\/doi.org\/10.1126\/science.add2187.<\/span><\/p>\n

(5) Ennist, N.; Wang, S.;  Kennedy. M. A.; Curti, M.; et al. ” De novo design of energy transfer proteins housing excitonically coupled chlorophyll special pairs,” Nat. Struct. Biol. 2023, Accepted. Doi: https:\/\/www.researchsquare.com\/article\/rs-2736786\/v1 <\/span><\/p>\n

1. Wang, X., Alnabati, E., Aderinwale, T. W., Maddhuri Venkata Subramaniya, S. R., Terashi, G., & Kihara, D. (2021). Detecting protein and DNA\/RNA structures in cryo-EM maps of intermediate resolution using deep learning. Nature Communications, 12(1), 2302.<\/span><\/section>\n

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2. Maddhuri Venkata Subramaniya, S. R., Terashi, G., & Kihara, D. (2019). Protein secondary structure detection in intermediate-resolution cryo-EM maps using deep learning. Nature Methods, 16(9), 911-917.<\/span><\/section>\n

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3. Terashi, G.*, Wang, X.*, Maddhuri Venkata Subramaniya, S. R., Tesmer, J. J., & Kihara, D. (2022). Residue-wise local quality estimation for protein models from cryo-EM maps. Nature Methods, 19(9), 1116-1125.<\/span><\/section>\n

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4. Tsukasa Nakamura, Xiao Wang, Genki Terashi, & Daisuke Kihara, DAQ-Score Database: assessment of map-model compatibility for protein structure models from cryo-EM maps, Nature Methods, 20: 775-776, (2023).<\/span><\/section>\n

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5. Xiao Wang, Genki Terashi & Daisuke Kihara, CryoREAD: De novo structure modeling for nucleic acids in cryo-EM maps using deep learning. Nature Methods (2023).<\/span><\/section>\n

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6. Genki Terashi, Xiao Wang, Devashish Prasad, Tsukasa Nakamura & Daisuke Kihara, Integrated Protocol of Protein Structure Modeling for Cryo-EM with Deep Learning and Structure Prediction. Nature Methods (2023).<\/span><\/section>\n

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7. Terashi, G., & Kihara, D. (2018). De novo main-chain modeling for EM maps using MAINMAST. Nature Communications, 9(1), 1618.<\/span><\/section>\n

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8. Han, X., Terashi, G., Christoffer, C., Chen, S., & Kihara, D. (2021). VESPER: global and local cryo-EM map alignment using local density vectors. Nature Communications, 12(1), 2090.<\/span><\/section>\n


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\uff08\u53c2\u8003\u6587\u732e\u53ef\u4e0a\u4e0b\u6ed1\u52a8<\/strong>\u67e5\u770b\uff09<\/p>\n


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AI + Science\u7b2c\u4e8c\u5b63\u8bfb\u4e66\u4f1a\u542f\u52a8<\/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><\/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\u5171\u5b66\u5171\u7814\u76f8\u5173\u6587\u732e\uff0c<\/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>\u8bfb\u4e66\u4f1a\u4ece2023\u5e748\u670820\u65e5\u5f00\u59cb\uff0c\u6bcf\u5468\u65e5\u65e9\u4e0a 9:00-11:00 \u7ebf\u4e0a\u4e3e\u884c\uff0c\u6301\u7eed\u65f6\u95f4\u9884\u8ba18\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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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\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><\/span><\/section>\n


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