{"id":475840,"date":"2023-08-09T07:23:51","date_gmt":"2023-08-09T07:23:51","guid":{"rendered":""},"modified":"2023-09-05T11:11:22","modified_gmt":"2023-09-05T11:11:22","slug":"alphafold","status":"publish","type":"wiki","link":"https:\/\/oneproxy.pro\/cn\/wiki\/alphafold\/","title":{"rendered":"AlphaFold"},"content":{"rendered":"<p>AlphaFold \u662f Alphabet Inc.\uff08\u524d\u8eab\u4e3a Google\uff09\u65d7\u4e0b\u4eba\u5de5\u667a\u80fd\u7814\u7a76\u516c\u53f8 DeepMind \u5f00\u53d1\u7684\u4e00\u6b3e\u5f00\u521b\u6027\u7684\u6df1\u5ea6\u5b66\u4e60\u7cfb\u7edf\u3002\u8be5\u7cfb\u7edf\u65e8\u5728\u51c6\u786e\u9884\u6d4b\u86cb\u767d\u8d28\u7684\u4e09\u7ef4 (3D) \u7ed3\u6784\uff0c\u8fd9\u662f\u56f0\u6270\u79d1\u5b66\u5bb6\u6570\u5341\u5e74\u7684\u95ee\u9898\u3002\u901a\u8fc7\u51c6\u786e\u9884\u6d4b\u86cb\u767d\u8d28\u7ed3\u6784\uff0cAlphaFold \u6709\u53ef\u80fd\u5f7b\u5e95\u6539\u53d8\u4ece\u836f\u7269\u53d1\u73b0\u548c\u75be\u75c5\u7814\u7a76\u5230\u751f\u7269\u5de5\u7a0b\u7b49\u5404\u4e2a\u9886\u57df\u3002<\/p>\n<h2>AlphaFold \u7684\u8d77\u6e90\u5386\u53f2\u4ee5\u53ca\u5bf9\u5b83\u7684\u9996\u6b21\u63d0\u53ca<\/h2>\n<p>AlphaFold \u7684\u65c5\u7a0b\u59cb\u4e8e 2016 \u5e74\uff0c\u5f53\u65f6 DeepMind \u5728\u7b2c 13 \u5c4a\u7ed3\u6784\u9884\u6d4b\u5173\u952e\u8bc4\u4f30 (CASP13) \u7ade\u8d5b\u4e2d\u5c55\u793a\u4e86\u4ed6\u4eec\u5728\u86cb\u767d\u8d28\u6298\u53e0\u65b9\u9762\u7684\u9996\u6b21\u5c1d\u8bd5\u3002CASP \u7ade\u8d5b\u6bcf\u4e24\u5e74\u4e3e\u529e\u4e00\u6b21\uff0c\u53c2\u8d5b\u8005\u8bd5\u56fe\u6839\u636e\u86cb\u767d\u8d28\u7684\u6c28\u57fa\u9178\u5e8f\u5217\u9884\u6d4b\u5176 3D \u7ed3\u6784\u3002DeepMind \u7684 AlphaFold \u65e9\u671f\u7248\u672c\u5c55\u793a\u4e86\u4ee4\u4eba\u9f13\u821e\u7684\u7ed3\u679c\uff0c\u8868\u660e\u8be5\u9886\u57df\u53d6\u5f97\u4e86\u91cd\u5927\u8fdb\u5c55\u3002<\/p>\n<h2>\u5173\u4e8e AlphaFold \u7684\u8be6\u7ec6\u4fe1\u606f \u2013 \u6269\u5c55\u4e3b\u9898 AlphaFold<\/h2>\n<p>\u81ea\u6210\u7acb\u4ee5\u6765\uff0cAlphaFold \u7ecf\u5386\u4e86\u91cd\u5927\u6539\u8fdb\u3002\u8be5\u7cfb\u7edf\u91c7\u7528\u6df1\u5ea6\u5b66\u4e60\u6280\u672f\uff0c\u7279\u522b\u662f\u4e00\u79cd\u57fa\u4e8e\u6ce8\u610f\u529b\u673a\u5236\u7684\u65b0\u578b\u67b6\u6784\uff0c\u79f0\u4e3a\u201cTransformer \u7f51\u7edc\u201d\u3002DeepMind \u5c06\u8fd9\u79cd\u795e\u7ecf\u7f51\u7edc\u4e0e\u5e9e\u5927\u7684\u751f\u7269\u6570\u636e\u5e93\u548c\u5176\u4ed6\u5148\u8fdb\u7b97\u6cd5\u76f8\u7ed3\u5408\uff0c\u5bf9\u86cb\u767d\u8d28\u6298\u53e0\u8fdb\u884c\u9884\u6d4b\u3002<\/p>\n<h2>AlphaFold \u7684\u5185\u90e8\u7ed3\u6784 \u2013 AlphaFold \u7684\u5de5\u4f5c\u539f\u7406<\/h2>\n<p>AlphaFold \u7684\u6838\u5fc3\u662f\u5c06\u86cb\u767d\u8d28\u7684\u6c28\u57fa\u9178\u5e8f\u5217\u4f5c\u4e3a\u8f93\u5165\uff0c\u5e76\u901a\u8fc7\u795e\u7ecf\u7f51\u7edc\u8fdb\u884c\u5904\u7406\u3002\u8be5\u7f51\u7edc\u4ece\u5927\u91cf\u5df2\u77e5\u86cb\u767d\u8d28\u7ed3\u6784\u6570\u636e\u96c6\u4e2d\u5b66\u4e60\uff0c\u4ee5\u9884\u6d4b\u86cb\u767d\u8d28\u4e2d\u539f\u5b50\u7684\u7a7a\u95f4\u6392\u5217\u3002\u8be5\u8fc7\u7a0b\u6d89\u53ca\u5c06\u86cb\u767d\u8d28\u6298\u53e0\u95ee\u9898\u5206\u89e3\u4e3a\u66f4\u5c0f\u3001\u66f4\u6613\u4e8e\u7ba1\u7406\u7684\u90e8\u5206\uff0c\u7136\u540e\u8fed\u4ee3\u5730\u5b8c\u5584\u9884\u6d4b\u3002<\/p>\n<p>AlphaFold \u7684\u795e\u7ecf\u7f51\u7edc\u5229\u7528\u6ce8\u610f\u529b\u673a\u5236\u6765\u5206\u6790\u5e8f\u5217\u4e2d\u4e0d\u540c\u6c28\u57fa\u9178\u4e4b\u95f4\u7684\u5173\u7cfb\uff0c\u4ece\u800c\u786e\u5b9a\u63a7\u5236\u6298\u53e0\u8fc7\u7a0b\u7684\u5173\u952e\u76f8\u4e92\u4f5c\u7528\u3002\u901a\u8fc7\u5229\u7528\u8fd9\u79cd\u5f3a\u5927\u7684\u65b9\u6cd5\uff0cAlphaFold \u5728\u9884\u6d4b\u86cb\u767d\u8d28\u7ed3\u6784\u65b9\u9762\u8fbe\u5230\u4e86\u524d\u6240\u672a\u6709\u7684\u51c6\u786e\u5ea6\u3002<\/p>\n<h2>AlphaFold \u5173\u952e\u7279\u6027\u5206\u6790<\/h2>\n<p>AlphaFold \u7684\u4e3b\u8981\u529f\u80fd\u5305\u62ec\uff1a<\/p>\n<ol>\n<li>\n<p><strong>\u51c6\u786e\u6027<\/strong>\uff1aAlphaFold \u7684\u9884\u6d4b\u8868\u73b0\u51fa\u60ca\u4eba\u7684\u51c6\u786e\u6027\uff0c\u53ef\u4e0e X \u5c04\u7ebf\u6676\u4f53\u5b66\u548c\u4f4e\u6e29\u7535\u5b50\u663e\u5fae\u955c\u7b49\u5b9e\u9a8c\u65b9\u6cd5\u76f8\u5ab2\u7f8e\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u901f\u5ea6<\/strong>\uff1aAlphaFold \u53ef\u4ee5\u6bd4\u4f20\u7edf\u5b9e\u9a8c\u6280\u672f\u66f4\u5feb\u5730\u9884\u6d4b\u86cb\u767d\u8d28\u7ed3\u6784\uff0c\u4f7f\u7814\u7a76\u4eba\u5458\u80fd\u591f\u5feb\u901f\u83b7\u5f97\u6709\u4ef7\u503c\u7684\u89c1\u89e3\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u666e\u904d\u6027<\/strong>\uff1aAlphaFold \u5df2\u8bc1\u660e\u80fd\u591f\u9884\u6d4b\u591a\u79cd\u86cb\u767d\u8d28\u7684\u7ed3\u6784\uff0c\u5305\u62ec\u90a3\u4e9b\u6ca1\u6709\u5df2\u77e5\u7ed3\u6784\u540c\u6e90\u7269\u7684\u86cb\u767d\u8d28\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u7ed3\u6784\u4fe1\u606f<\/strong>\uff1aAlphaFold \u751f\u6210\u7684\u9884\u6d4b\u63d0\u4f9b\u4e86\u8be6\u7ec6\u7684\u539f\u5b50\u7ea7\u89c1\u89e3\uff0c\u4f7f\u7814\u7a76\u4eba\u5458\u80fd\u591f\u66f4\u6709\u6548\u5730\u7814\u7a76\u86cb\u767d\u8d28\u529f\u80fd\u548c\u76f8\u4e92\u4f5c\u7528\u3002<\/p>\n<\/li>\n<\/ol>\n<h2>AlphaFold \u7684\u7c7b\u578b<\/h2>\n<p>AlphaFold \u968f\u7740\u65f6\u95f4\u7684\u63a8\u79fb\u800c\u4e0d\u65ad\u53d1\u5c55\uff0c\u5f62\u6210\u4e86\u4e0d\u540c\u7684\u7248\u672c\uff0c\u4f8b\u5982\uff1a<\/p>\n<table>\n<thead>\n<tr>\n<th>AlphaFold \u7248\u672c<\/th>\n<th>\u63cf\u8ff0<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>AlphaFold v1<\/td>\n<td>\u7b2c\u4e00\u4e2a\u7248\u672c\u4e8e2016\u5e74CASP13\u671f\u95f4\u63d0\u51fa\u3002<\/td>\n<\/tr>\n<tr>\n<td>AlphaFold v2<\/td>\n<td>2018 \u5e74 CASP14 \u5c55\u793a\u4e86\u4e00\u9879\u91cd\u5927\u6539\u8fdb\u3002<\/td>\n<\/tr>\n<tr>\n<td>AlphaFold v3<\/td>\n<td>\u6700\u65b0\u8fed\u4ee3\uff0c\u51c6\u786e\u5ea6\u5f97\u5230\u589e\u5f3a\u3002<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>AlphaFold \u7684\u4f7f\u7528\u65b9\u6cd5\u3001\u4f7f\u7528\u8fc7\u7a0b\u4e2d\u9047\u5230\u7684\u95ee\u9898\u53ca\u89e3\u51b3\u65b9\u6cd5<\/h2>\n<h3>AlphaFold \u7684\u4f7f\u7528\u65b9\u6cd5\uff1a<\/h3>\n<ol>\n<li>\n<p><strong>\u86cb\u767d\u8d28\u7ed3\u6784\u9884\u6d4b<\/strong>\uff1aAlphaFold \u53ef\u4ee5\u9884\u6d4b\u86cb\u767d\u8d28\u7684\u4e09\u7ef4\u7ed3\u6784\uff0c\u5e2e\u52a9\u7814\u7a76\u4eba\u5458\u4e86\u89e3\u86cb\u767d\u8d28\u7684\u529f\u80fd\u548c\u6f5c\u5728\u7684\u76f8\u4e92\u4f5c\u7528\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u836f\u7269\u53d1\u73b0<\/strong>\uff1a\u51c6\u786e\u7684\u86cb\u767d\u8d28\u7ed3\u6784\u9884\u6d4b\u53ef\u4ee5\u901a\u8fc7\u9488\u5bf9\u4e0e\u75be\u75c5\u76f8\u5173\u7684\u7279\u5b9a\u86cb\u767d\u8d28\u6765\u52a0\u901f\u836f\u7269\u53d1\u73b0\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u751f\u7269\u6280\u672f\u4e0e\u9176\u8bbe\u8ba1<\/strong>\uff1aAlphaFold \u7684\u9884\u6d4b\u6709\u52a9\u4e8e\u8bbe\u8ba1\u7528\u4e8e\u5404\u79cd\u5e94\u7528\u7684\u9176\uff0c\u4ece\u751f\u7269\u71c3\u6599\u5230\u53ef\u751f\u7269\u964d\u89e3\u6750\u6599\u3002<\/p>\n<\/li>\n<\/ol>\n<h3>\u95ee\u9898\u53ca\u89e3\u51b3\u65b9\u6848\uff1a<\/h3>\n<ol>\n<li>\n<p><strong>\u65b0\u9896\u6027\u7684\u5c40\u9650\u6027<\/strong>\uff1a\u7531\u4e8e\u4e4b\u524d\u672a\u89c1\u8fc7\u7684\u7ed3\u6784\u7684\u6570\u636e\u6709\u9650\uff0cAlphaFold \u5bf9\u4e8e\u5177\u6709\u72ec\u7279\u6298\u53e0\u548c\u5e8f\u5217\u7684\u86cb\u767d\u8d28\u7684\u51c6\u786e\u6027\u4f1a\u964d\u4f4e\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u6570\u636e\u8d28\u91cf<\/strong>\uff1aAlphaFold \u9884\u6d4b\u7684\u51c6\u786e\u6027\u5728\u5f88\u5927\u7a0b\u5ea6\u4e0a\u53d7\u5230\u8f93\u5165\u6570\u636e\u7684\u8d28\u91cf\u548c\u5b8c\u6574\u6027\u7684\u5f71\u54cd\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u786c\u4ef6\u8981\u6c42<\/strong>\uff1a\u6709\u6548\u8fd0\u884c AlphaFold \u9700\u8981\u5f3a\u5927\u7684\u8ba1\u7b97\u80fd\u529b\u548c\u4e13\u7528\u786c\u4ef6\u3002<\/p>\n<\/li>\n<\/ol>\n<p>\u4e3a\u4e86\u5e94\u5bf9\u8fd9\u4e9b\u6311\u6218\uff0c\u6301\u7eed\u6539\u8fdb\u6a21\u578b\u548c\u66f4\u5927\u3001\u66f4\u591a\u6837\u5316\u7684\u6570\u636e\u96c6\u81f3\u5173\u91cd\u8981\u3002<\/p>\n<h2>\u4e3b\u8981\u7279\u70b9\u53ca\u4e0e\u540c\u7c7b\u672f\u8bed\u7684\u5176\u4ed6\u6bd4\u8f83<\/h2>\n<table>\n<thead>\n<tr>\n<th>\u7279\u5f81<\/th>\n<th>AlphaFold<\/th>\n<th>\u4f20\u7edf\u5b9e\u9a8c\u65b9\u6cd5<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>\u9884\u6d4b\u51c6\u786e\u7387<\/td>\n<td>\u4e0e\u5b9e\u9a8c\u7c7b\u4f3c<\/td>\n<td>\u9ad8\u5ea6\u51c6\u786e\uff0c\u4f46\u901f\u5ea6\u8f83\u6162<\/td>\n<\/tr>\n<tr>\n<td>\u901f\u5ea6<\/td>\n<td>\u5feb\u901f\u9884\u6d4b<\/td>\n<td>\u8017\u65f6\u8017\u529b<\/td>\n<\/tr>\n<tr>\n<td>\u7ed3\u6784\u6d1e\u5bdf<\/td>\n<td>\u8be6\u7ec6\u7684\u539f\u5b50\u7ea7\u89c1\u89e3<\/td>\n<td>\u539f\u5b50\u7ea7\u5206\u8fa8\u7387\u6709\u9650<\/td>\n<\/tr>\n<tr>\n<td>\u591a\u529f\u80fd\u6027<\/td>\n<td>\u53ef\u4ee5\u9884\u6d4b\u591a\u79cd\u86cb\u767d\u8d28<\/td>\n<td>\u5bf9\u7279\u5b9a\u86cb\u767d\u8d28\u7c7b\u578b\u7684\u9002\u7528\u6027\u6709\u9650<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>\u4e0e AlphaFold \u76f8\u5173\u7684\u672a\u6765\u89c2\u70b9\u548c\u6280\u672f<\/h2>\n<p>AlphaFold \u7684\u672a\u6765\u524d\u666f\u5149\u660e\uff0c\u5176\u6f5c\u5728\u7684\u8fdb\u6b65\u5305\u62ec\uff1a<\/p>\n<ol>\n<li>\n<p><strong>\u6301\u7eed\u6539\u8fdb<\/strong>\uff1aDeepMind \u53ef\u80fd\u4f1a\u8fdb\u4e00\u6b65\u5b8c\u5584 AlphaFold\uff0c\u63d0\u9ad8\u5176\u9884\u6d4b\u51c6\u786e\u6027\u5e76\u6269\u5c55\u5176\u529f\u80fd\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u4e0e\u7814\u7a76\u7684\u6574\u5408<\/strong>\uff1aAlphaFold \u53ef\u4ee5\u5bf9\u4ece\u533b\u5b66\u5230\u751f\u7269\u5de5\u7a0b\u7684\u5404\u4e2a\u79d1\u5b66\u9886\u57df\u4ea7\u751f\u91cd\u5927\u5f71\u54cd\uff0c\u4ece\u800c\u5e26\u6765\u7a81\u7834\u6027\u7684\u53d1\u73b0\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u8865\u5145\u6280\u672f<\/strong>\uff1aAlphaFold \u53ef\u4ee5\u4e0e\u5176\u4ed6\u5b9e\u9a8c\u65b9\u6cd5\u7ed3\u5408\u4f7f\u7528\u6765\u8865\u5145\u548c\u9a8c\u8bc1\u9884\u6d4b\u3002<\/p>\n<\/li>\n<\/ol>\n<h2>\u5982\u4f55\u4f7f\u7528\u4ee3\u7406\u670d\u52a1\u5668\u6216\u5c06\u5176\u4e0e AlphaFold \u5173\u8054<\/h2>\n<p>\u4ee3\u7406\u670d\u52a1\u5668\uff08\u5982 OneProxy \u63d0\u4f9b\u7684\u4ee3\u7406\u670d\u52a1\u5668\uff09\u5728\u652f\u6301\u6d89\u53ca\u8d44\u6e90\u5bc6\u96c6\u578b\u4efb\u52a1\u7684\u7814\u7a76\u548c\u5e94\u7528\u4e2d\u8d77\u7740\u81f3\u5173\u91cd\u8981\u7684\u4f5c\u7528\uff0c\u4f8b\u5982\u8fd0\u884c\u590d\u6742\u7684\u6a21\u62df\u6216\u86cb\u767d\u8d28\u6298\u53e0\u9884\u6d4b\u7b49\u5927\u89c4\u6a21\u8ba1\u7b97\u3002\u7814\u7a76\u4eba\u5458\u548c\u673a\u6784\u53ef\u4ee5\u4f7f\u7528\u4ee3\u7406\u670d\u52a1\u5668\u9ad8\u6548\u5730\u8bbf\u95ee AlphaFold \u548c\u5176\u4ed6 AI \u9a71\u52a8\u7684\u5de5\u5177\uff0c\u786e\u4fdd\u7814\u7a76\u8fc7\u7a0b\u4e2d\u6570\u636e\u4ea4\u6362\u7684\u987a\u7545\u548c\u5b89\u5168\u3002<\/p>\n<h2>\u76f8\u5173\u94fe\u63a5<\/h2>\n<p>\u6709\u5173 AlphaFold \u7684\u66f4\u591a\u4fe1\u606f\uff0c\u8bf7\u53c2\u8003\u4ee5\u4e0b\u8d44\u6e90\uff1a<\/p>\n<ul>\n<li><a href=\"https:\/\/deepmind.com\/research\/case-studies\/alphafold\" target=\"_new\" rel=\"noopener nofollow\">DeepMind \u7684 AlphaFold \u7f51\u7ad9<\/a><\/li>\n<li><a href=\"https:\/\/deepmind.com\/blog\/article\/alphafold-using-ai-for-scientific-discovery\" target=\"_new\" rel=\"noopener nofollow\">AlphaFold\uff1a\u5229\u7528\u4eba\u5de5\u667a\u80fd\u8fdb\u884c\u79d1\u5b66\u53d1\u73b0<\/a><\/li>\n<li><a href=\"http:\/\/www.predictioncenter.org\/casp13\/\" target=\"_new\" rel=\"noopener nofollow\">CASP\uff08\u7ed3\u6784\u9884\u6d4b\u5173\u952e\u8bc4\u4f30\uff09\u7f51\u7ad9<\/a><\/li>\n<\/ul>","protected":false},"featured_media":467523,"menu_order":0,"template":"","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"class_list":["post-475840","wiki","type-wiki","status-publish","has-post-thumbnail","hentry"],"acf":{"faq_title":"Frequently Asked Questions about <mark>AlphaFold: Unveiling the Future of Protein Folding<\/mark>","faq_items":[{"question":"What is AlphaFold and who developed it?","answer":"<p>AlphaFold is a groundbreaking deep learning system developed by DeepMind, an AI research company under Alphabet Inc. (formerly Google). It accurately predicts the 3D structure of proteins, revolutionizing various scientific fields.<\/p>"},{"question":"How did AlphaFold evolve over time?","answer":"<p>AlphaFold began with its first version showcased during the CASP13 competition in 2016. It then improved significantly with AlphaFold v2 in CASP14 in 2018 and the most recent iteration, AlphaFold v3.<\/p>"},{"question":"How does AlphaFold work internally?","answer":"<p>AlphaFold uses a neural network based on the transformer architecture with attention mechanisms. It processes the amino acid sequence of a protein and learns from a vast dataset to predict its 3D structure.<\/p>"},{"question":"What are the key features of AlphaFold?","answer":"<p>AlphaFold stands out with its remarkable accuracy, speed, generalizability, and detailed atomic-level structural information, making it comparable to traditional experimental methods.<\/p>"},{"question":"Are there different types of AlphaFold?","answer":"<p>Yes, AlphaFold has evolved over time, leading to different versions, such as AlphaFold v1, v2, and the most recent AlphaFold v3.<\/p>"},{"question":"How can AlphaFold be used?","answer":"<p>AlphaFold is used for protein structure prediction, drug discovery, and biotechnology, enabling the design of enzymes and understanding protein functions.<\/p>"},{"question":"What are the challenges associated with using AlphaFold?","answer":"<p>AlphaFold's limitations include lower accuracy for unique protein folds and the dependence on data quality and computational resources.<\/p>"},{"question":"What are the future perspectives for AlphaFold?","answer":"<p>The future of AlphaFold looks promising with continual improvements, potential integrations with other research methods, and groundbreaking scientific discoveries.<\/p>"},{"question":"How can proxy servers like OneProxy support research using AlphaFold?","answer":"<p>OneProxy's efficient proxy servers play a crucial role in handling resource-intensive tasks like running complex simulations, supporting researchers in accessing AlphaFold efficiently and securely.<\/p>"}]},"_links":{"self":[{"href":"https:\/\/oneproxy.pro\/cn\/wp-json\/wp\/v2\/wiki\/475840","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/oneproxy.pro\/cn\/wp-json\/wp\/v2\/wiki"}],"about":[{"href":"https:\/\/oneproxy.pro\/cn\/wp-json\/wp\/v2\/types\/wiki"}],"version-history":[{"count":0,"href":"https:\/\/oneproxy.pro\/cn\/wp-json\/wp\/v2\/wiki\/475840\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oneproxy.pro\/cn\/wp-json\/wp\/v2\/media\/467523"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/cn\/wp-json\/wp\/v2\/media?parent=475840"}],"curies":[{"name":"\u53ef\u6e7f\u6027\u7c89\u5242","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}