{"id":37112,"date":"2025-01-23T16:00:14","date_gmt":"2025-01-23T08:00:14","guid":{"rendered":"https:\/\/17aitech.com\/?p=37112"},"modified":"2025-01-23T16:00:14","modified_gmt":"2025-01-23T08:00:14","slug":"%e9%87%8f%e5%8c%96617462%e7%a7%8d%e4%ba%ba%e7%b1%bb%e5%be%ae%e8%9b%8b%e7%99%bd%e5%bf%85%e9%9c%80%e6%80%a7%ef%bc%8c%e5%8c%97%e5%a4%a7llm%e8%9b%8b%e7%99%bd%e8%b4%a8%e7%bb%bc%e5%90%88%e9%a2%84%e6%b5%8b","status":"publish","type":"post","link":"https:\/\/17aitech.com\/?p=37112","title":{"rendered":"\u91cf\u5316617,462\u79cd\u4eba\u7c7b\u5fae\u86cb\u767d\u5fc5\u9700\u6027\uff0c\u5317\u5927LLM\u86cb\u767d\u8d28\u7efc\u5408\u9884\u6d4b\u4e0e\u5206\u6790\uff0c\u767bNature\u5b50\u520a"},"content":{"rendered":"

\u6587\u7ae0\u6765\u6e90\u4e8e\u4e92\u8054\u7f51:\u91cf\u5316617,462\u79cd\u4eba\u7c7b\u5fae\u86cb\u767d\u5fc5\u9700\u6027\uff0c\u5317\u5927LLM\u86cb\u767d\u8d28\u7efc\u5408\u9884\u6d4b\u4e0e\u5206\u6790\uff0c\u767bNature\u5b50\u520a<\/a><\/p>\n

<\/a><\/p>\n

\u7f16\u8f91 | \u841d\u535c\u76ae<\/p>\n

\u4eba\u7c7b\u5fc5\u9700\u86cb\u767d\uff08HEP\uff09\u5bf9\u4e8e\u4e2a\u4f53\u7684\u751f\u5b58\u548c\u53d1\u80b2\u5fc5\u4e0d\u53ef\u5c11\u3002\u7136\u800c\uff0c\u9274\u5b9a HEP \u7684\u5b9e\u9a8c\u65b9\u6cd5\u901a\u5e38\u6210\u672c\u9ad8\u6602\u3001\u8017\u65f6\u8d39\u529b\u3002<\/p>\n

\u6b64\u5916\uff0c\u73b0\u6709\u7684\u8ba1\u7b97\u65b9\u6cd5\u4ec5\u5728\u7ec6\u80de\u7cfb\u6c34\u5e73\u4e0a\u9884\u6d4b HEP\uff0c\u4f46 HEP \u5728\u6d3b\u4f53\u4eba\u7c7b\u3001\u7ec6\u80de\u7cfb\u548c\u52a8\u7269\u6a21\u578b\u4e2d\u6709\u6240\u4e0d\u540c\u3002<\/p>\n

\u5728\u8fd9\u91cc\uff0c\u5317\u4eac\u5927\u5b66<\/mark>\u7684\u7814\u7a76\u56e2\u961f\u901a\u8fc7\u5fae\u8c03\u9884\u8bad\u7ec3\u7684\u86cb\u767d\u8d28\u8bed\u8a00\u6a21\u578b<\/mark>\uff0c\u5f00\u53d1\u4e86\u4e00\u4e2a\u57fa\u4e8e\u5e8f\u5217\u7684\u6df1\u5ea6\u5b66\u4e60<\/mark>\u6a21\u578b\uff0c\u5373\u86cb\u767d\u8d28\u91cd\u8981\u6027\u8ba1\u7b97\u5668 (PIC\uff0cProtein Importance Calculator)\u3002<\/p>\n

PIC \u4e0d\u4ec5\u5927\u5927\u4f18\u4e8e\u73b0\u6709\u7684\u9884\u6d4b HEP \u65b9\u6cd5\uff0c\u800c\u4e14\u8fd8\u63d0\u4f9b\u4e86\u8de8\u4eba\u7c7b\u3001\u7ec6\u80de\u7cfb\u548c\u5c0f\u9f20\u4e09\u4e2a\u5c42\u9762\u7684\u5168\u9762\u9884\u6d4b\u7ed3\u679c\u3002<\/p>\n

\u6b64\u5916\uff0c\u56e2\u961f\u5b9a\u4e49\u4e86\u6e90\u81ea PIC \u7684\u86cb\u767d\u8d28\u5fc5\u9700\u8bc4\u5206\uff0c\u4ee5\u91cf\u5316<\/mark>\u4eba\u7c7b\u86cb\u767d\u8d28\u7684\u5fc5\u9700\u6027\uff0c\u5e76\u901a\u8fc7\u4e00\u7cfb\u5217\u751f\u7269\u5b66\u5206\u6790\u9a8c\u8bc1\u5176\u6709\u6548\u6027\u3002\u4ed6\u4eec\u8fd8\u901a\u8fc7\u8bc6\u522b\u4e73\u817a\u764c\u7684\u6f5c\u5728\u9884\u540e\u751f\u7269\u6807\u5fd7\u7269\u548c\u91cf\u5316<\/mark> 617,462 \u79cd\u4eba\u7c7b\u5fae\u86cb\u767d\u7684\u5fc5\u9700\u6027\uff0c\u6765\u8bc1\u660e\u86cb\u767d\u8d28\u5fc5\u9700\u8bc4\u5206\u7684\u751f\u7269\u533b\u5b66\u4ef7\u503c\u3002<\/p>\n

\u8be5\u7814\u7a76\u4ee5\u300cComprehensive prediction and analysis of human protein essentiality based on a pretrained large language model<\/em>\u300d\u4e3a\u9898\uff0c\u4e8e 2024 \u5e74 11 \u6708 27 \u65e5\u53d1\u5e03\u5728\u300aNature Computational Science<\/em>\u300b\u3002<\/p>\n

<\/a><\/p>\n

\u5fc5\u9700\u86cb\u767d\u7531\u5fc5\u9700\u57fa\u56e0\u7f16\u7801\uff0c\u5bf9\u751f\u7269\u4f53\u7684\u751f\u5b58\u81f3\u5173\u91cd\u8981\uff0c\u901a\u5e38\u53c2\u4e0e\u57fa\u672c\u7684\u751f\u7269\u8fc7\u7a0b\u3002\u56e0\u6b64\uff0c\u4ece\u4eba\u7c7b\u86cb\u767d\u8d28\u7ec4\u4e2d\u8bc6\u522b\u5fc5\u9700\u86cb\u767d\u5bf9\u4e8e\u75be\u75c5\u7684\u9884\u9632\u3001\u8bca\u65ad\u548c\u6cbb\u7597\u81f3\u5173\u91cd\u8981\u3002\u7136\u800c\uff0c\u6ca1\u6709\u4e00\u79cd\u86cb\u767d\u8d28\u662f\u7edd\u5bf9\u5fc5\u9700\u7684\uff1b\u53ea\u6709\u529f\u80fd\u624d\u662f\u7edd\u5bf9\u5fc5\u9700\u7684\u3002<\/p>\n

\u4eba\u7c7b\u86cb\u767d\u8d28\u7684\u5fc5\u8981\u6027\u53d6\u51b3\u4e8e\u73af\u5883\uff0c\u4e0e\u7ec6\u80de\u7c7b\u578b\u548c\u751f\u7406\u9636\u6bb5\u5bc6\u5207\u76f8\u5173\u3002\u6b64\u5916\uff0c\u4eba\u7c7b\u5fc5\u9700\u86cb\u767d\u8d28\u5728\u6d3b\u4f53\u4eba\u7c7b\u3001\u4eba\u7c7b\u7ec6\u80de\u7cfb\u548c\u52a8\u7269\u6a21\u578b\u4e2d\u5b58\u5728\u5f88\u5927\u5dee\u5f02\u3002<\/p>\n

\u4e3a\u4e86\u5168\u9762\u7cfb\u7edf\u5730\u8bc4\u4f30\u4eba\u7c7b\u86cb\u767d\u8d28\u7684\u5fc5\u8981\u6027\uff0c\u5317\u4eac\u5927\u5b66<\/mark>\u7684\u7814\u7a76\u4eba\u5458\u63d0\u51fa\u4e86\u4e00\u79cd\u57fa\u4e8e\u6df1\u5ea6\u5b66\u4e60<\/mark>\u7684\u65b9\u6cd5\u2014\u2014 PIC\uff1b\u901a\u8fc7\u5fae\u8c03 PLM\uff0c\u4e0e\u73b0\u6709\u65b9\u6cd5\u76f8\u6bd4\uff0c\u8be5\u65b9\u6cd5\u5728\u4eba\u7c7b\u86cb\u767d\u8d28\u5fc5\u8981\u6027\u9884\u6d4b\u4efb\u52a1\u4e0a\u53d6\u5f97\u4e86\u6700\u5148\u8fdb\u7684\u6027\u80fd\u3002<\/p>\n

PIC \u6a21\u578b\u6982\u8ff0<\/strong><\/p>\n

PIC \u662f\u4e00\u7cfb\u5217\u7528\u4e8e\u5168\u9762\u9884\u6d4b\u4eba\u7c7b\u5fc5\u9700\u86cb\u767d\u8d28\u7684\u6df1\u5ea6\u5b66\u4e60<\/mark>\u6a21\u578b\uff0c\u5305\u62ec\u4e09\u4e2a\u4e0d\u540c\u7ea7\u522b\u7684\u5171 325 \u4e2a PIC \u6a21\u578b\uff1a\u4e00\u4e2a\u7528\u4e8e\u4eba\u7c7b\u6c34\u5e73\u7684\u6a21\u578b\uff08PIC-human\uff09\uff0c\u4e00\u4e2a\u7528\u4e8e\u5c0f\u9f20\u6c34\u5e73\u7684\u6a21\u578b\uff08PIC-mouse\uff09\u548c 323 \u4e2a\u7528\u4e8e\u7ec6\u80de\u7cfb\u6c34\u5e73\u7684\u6a21\u578b\uff08PIC-cell\uff09\u3002<\/p>\n

\u86cb\u767d\u8d28\u5fc5\u9700\u6027\u6570\u636e\u5206\u522b\u4ece gnomAD\u3001OGEE-MGI \u548c Project Score \u6570\u636e\u5e93<\/mark>\u6536\u96c6\uff0c\u4ee5\u8bad\u7ec3 PIC-human\u3001PIC-mouse \u548c PIC-cell\uff08\u56fe 1a\uff09\u3002<\/p>\n

<\/a><\/p>\n

\u56fe 1\uff1a\u6574\u4f53\u5de5\u4f5c\u6d41\u7a0b\u3002\uff08\u6765\u6e90\uff1a\u8bba\u6587\uff09<\/p>\n

\u6240\u6709 PIC \u6a21\u578b\u90fd\u5177\u6709\u76f8\u540c\u7684\u67b6\u6784\uff0c\u5305\u62ec\u4e09\u4e2a\u4e3b\u8981\u6a21\u5757\uff1a\u5d4c\u5165\u3001\u6ce8\u610f\u548c\u9884\u6d4b\uff08\u56fe 1b\uff09\u3002<\/p>\n

\u5bf9\u4e8e 323 \u4e2a\u7ec6\u80de\u7ea7 PIC \u6a21\u578b\uff0c\u7814\u7a76\u4eba\u5458\u5728\u96c6\u6210\u5b66\u4e60<\/mark>\u6846\u67b6\u4e2d\u4f7f\u7528\u8f6f\u6295\u7968\u7b56\u7565\u6765\u6c47\u603b 323 \u4e2a\u7ec6\u80de\u7ea7 PIC \u6a21\u578b\u7684\u9884\u6d4b\u7ed3\u679c\uff0c\u4ece\u800c\u5f97\u5230\u9ad8\u6027\u80fd\u7684 PIC \u7ec6\u80de\u6a21\u578b\u3002<\/p>\n

\u6b64\u5916\uff0c\u56e2\u961f\u8fd8\u5229\u7528\u96c6\u6210\u5b66\u4e60<\/mark>\u5f00\u53d1\u4e86 28 \u4e2a\u75be\u75c5\u7ea7 PIC \u6a21\u578b\u548c 19 \u4e2a\u7ec4\u7ec7\u7ea7 PIC \u6a21\u578b\uff0c\u80fd\u591f\u9884\u6d4b\u4eba\u7c7b\u86cb\u767d\u8d28\u5728\u7279\u5b9a\u75be\u75c5\u6216\u7ec4\u7ec7\u4e2d\u7684\u5fc5\u8981\u6027\u3002<\/p>\n

\u4e3a\u4e86\u4f18\u5316 PIC \u6a21\u578b\u67b6\u6784\uff0c\u4ed6\u4eec\u8fdb\u884c\u4e86\u4e00\u7cfb\u5217\u6d88\u878d\u7814\u7a76\u548c\u8d85\u53c2\u6570<\/mark><\/mark>\u4f18\u5316\u5b9e\u9a8c\u3002\u7ed3\u679c\u4fc3\u4f7f\u7814\u7a76\u4eba\u5458\u9009\u62e9\u5177\u6709 6.5 \u4ebf\u4e2a\u53c2\u6570<\/mark>\u7684 ESM-2 \u6a21\u578b\u8fdb\u884c\u86cb\u767d\u8d28\u5e8f\u5217\u7279\u5f81\u63d0\u53d6\uff0c\u5e94\u7528\u5e73\u5747\u6c60\u5316<\/mark>\u65b9\u6cd5\u751f\u6210\u5b8c\u6574\u86cb\u767d\u8d28\u5e8f\u5217\u7684\u8868\u793a\uff08\u56fe 2\uff09\u3002<\/p>\n

<\/a><\/p>\n

\u56fe 2\uff1aPIC \u6a21\u578b\u7684\u6d88\u878d\u7814\u7a76\u3002\uff08\u6765\u6e90\uff1a\u8bba\u6587\uff09<\/p>\n

PIC \u6a21\u578b\u7684\u6574\u4f53\u6027\u80fd<\/strong><\/p>\n

\u7814\u7a76\u4eba\u5458\u4f7f\u7528\u51c6\u786e\u5ea6\u3001\u53ec\u56de\u7387\u3001\u7cbe\u786e\u5ea6\u3001F1 \u5206\u6570\u3001AUROC\uff08area under the receiver operating characteristic curve\uff09\u548c AUPRC\uff08area under the precision-recall curve\uff09\u7b49\u6307\u6807\u8bc4\u4f30\u4e86 PIC \u6a21\u578b\u5728\u5404\u81ea\u72ec\u7acb\u6d4b\u8bd5\u6570\u636e\u96c6\u4e0a\u7684\u6027\u80fd\u3002<\/p>\n

PIC-human \u7684 AUROC \u6700\u9ad8\uff0c\u4e3a 0.9132\uff0c\u5176\u6b21\u662f PIC-mouse\uff0cAUROC \u4e3a 0.8736\u3002<\/p>\n

KYSE-70 \u7ec6\u80de\u7ea7\u6a21\u578b\u7684 AUROC\uff080.8579\uff09\u662f 323 \u4e2a\u7ec6\u80de\u7ea7 PIC \u6a21\u578b\u7684\u4e2d\u4f4d\u6570\uff0c\u88ab\u9009\u4e3a\u4ee3\u8868 PIC \u7ec6\u80de\u6a21\u578b\u7684\u5e73\u5747\u6027\u80fd\uff08\u56fe 3a\uff09\u3002<\/p>\n

<\/a><\/p>\n

\u56fe 3 \uff1aPIC\u6a21\u578b\u7684\u6027\u80fd\u5c55\u793a\u53ca\u6bd4\u8f83\u3002\uff08\u6765\u6e90\uff1a\u8bba\u6587\uff09<\/p>\n

\u4e3a\u4e86\u8fdb\u4e00\u6b65\u8bc4\u4f30 PIC \u6a21\u578b\u7684\u6027\u80fd\uff0c\u7814\u7a76\u4eba\u5458\u5c06\u5176\u4e0e\u4e09\u79cd\u5e7f\u6cdb\u4f7f\u7528\u7684\u5f00\u6e90\u57fa\u4e8e\u5e8f\u5217\u7684\u86cb\u767d\u8d28\u5fc5\u8981\u6027\u9884\u6d4b\u6a21\u578b\u8fdb\u884c\u4e86\u6bd4\u8f83\u3002\u5728\u6240\u6bd4\u8f83\u7684\u6a21\u578b\u4e2d\uff0cEP-EDL \u548c EP-GBDT \u662f\u5728\u7ec6\u80de\u6d3b\u529b\u6d4b\u5b9a\u7684\u7efc\u5408\u6570\u636e\u96c6\u4e0a\u8fdb\u884c\u8bad\u7ec3\u7684\uff0c\u800c DeepCellEss \u662f\u4e00\u4e2a\u57fa\u4e8e 323 \u4e2a\u4eba\u7c7b\u7ec6\u80de\u7cfb\u6570\u636e\u96c6\u6570\u636e\u7684\u7ec6\u80de\u7cfb\u7279\u5b9a\u6a21\u578b\u3002<\/p>\n

\u6b64\u5916\uff0c\u56e2\u961f\u8bbe\u8ba1\u4e86 PIC-base \u4f5c\u4e3a\u81ea\u57fa\u7ebf\u6a21\u578b\uff0c\u8be5\u6a21\u578b\u4f7f\u7528 ESM-2 \u76f4\u63a5\u8f93\u51fa\u7684\u5e8f\u5217\u7ea7\u7279\u5f81\u5411\u91cf\u8fdb\u884c\u86cb\u767d\u8d28\u5fc5\u8981\u6027\u9884\u6d4b\u3002\u7ed3\u679c\u8868\u660e\uff0c\u4e0e\u73b0\u6709\u65b9\u6cd5\u76f8\u6bd4\uff0cPIC \u5c06 AUROC \u63d0\u9ad8\u4e86 5.13\u201312.10\uff05\uff0c\u5e76\u4e14\u8fd8\u663e\u8457\u63d0\u9ad8\u4e86\u51c6\u786e\u7387<\/mark>\u3001\u7cbe\u786e\u7387\u3001F1 \u5f97\u5206\u548c AUPRC\u3002<\/p>\n

\u9274\u4e8eDeepCellEss\u662f\u7ec6\u80de\u7cfb\u7279\u5f02\u6027\u7684\uff0c\u7814\u7a76\u4eba\u5458\u8fdb\u4e00\u6b65\u5728 323 \u4e2a\u7ec6\u80de\u7cfb\u4e2d\u5206\u522b\u6bd4\u8f83\u4e86 PIC \u548c DeepCellEss \u7684 AUROC \u548c AUPRC \u503c\u3002<\/p>\n

\u7ed3\u679c\u663e\u793a\uff0c\u4e0e DeepCellEss \u76f8\u6bd4\uff0cPIC \u5728 323 \u4e2a\u7ec6\u80de\u7cfb\u4e2d\u7684 AUROC \u548c AUPRC \u5206\u522b\u5e73\u5747\u63d0\u9ad8\u4e86 9.64\uff05 \u548c 10.52\uff05\uff08\u56fe 3b\uff0cc\uff09\u3002\u6b64\u5916\uff0c19 \u79cd\u7ec4\u7ec7\u6c34\u5e73\u548c 28 \u79cd\u75be\u75c5\u6c34\u5e73 PIC \u7ec6\u80de\u6a21\u578b\u7684 AUROC \u503c\u8303\u56f4\u4e3a 0.7543 \u81f3 0.9029\u3002<\/p>\n

<\/a><\/p>\n

\u56fe 4\uff1aPIC \u6a21\u578b\u4ea7\u751f\u7684 PES \u7684\u751f\u7269\u5b66\u76f8\u5173\u6027\u3002\uff08\u6765\u6e90\uff1a\u8bba\u6587\uff09<\/section>\n

\u672a\u6765\u63a2\u7d22<\/strong><\/p>\n

\u8fd9\u91cc\u7684 PIC \u6a21\u578b\u8003\u8651\u4e86\u4eba\u7c7b\u86cb\u767d\u8d28\u91cd\u8981\u6027\u5728\u4e0d\u540c\u6c34\u5e73\u4e0a\u7684\u53d8\u5316\uff0c\u540c\u65f6\u9884\u6d4b\u6d3b\u4f53\u4eba\u7c7b\u3001\u4eba\u7c7b\u7ec6\u80de\u7cfb\u548c\u52a8\u7269\u6a21\u578b\u4e2d\u86cb\u767d\u8d28\u7684\u5fc5\u8981\u6027\u5206\u6570\u3002\u7814\u7a76\u4eba\u5458\u8868\u793a\uff0c\u4ed6\u4eec\u76f8\u4fe1 PIC \u5c06\u6709\u5229\u4e8e\u7528\u6237\u5168\u9762\u9884\u6d4b\u548c\u4e86\u89e3\u4eba\u7c7b\u86cb\u767d\u8d28\u7684\u91cd\u8981\u6027\uff0c\u6709\u52a9\u4e8e\u53d1\u73b0\u6cbb\u7597\u9776\u70b9\u548c\u9884\u540e\u751f\u7269\u6807\u5fd7\u7269\u3002<\/p>\n

<\/a><\/p>\n

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