{"id":118008,"date":"2026-10-26T02:56:38","date_gmt":"2026-10-25T18:56:38","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/118008.html"},"modified":"2026-10-26T02:56:38","modified_gmt":"2026-10-25T18:56:38","slug":"mdml_peptperm%ef%bc%9a%e7%94%a8%e5%a2%9e%e5%bc%ba%e9%87%87%e6%a0%b7-md-%e7%9a%84-3d-%e6%9e%84%e8%b1%a1%e4%bf%a1%e6%81%af%e6%95%99%e4%bc%9a%e6%9c%ba%e5%99%a8%e5%ad%a6%e4%b9%a0","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/118008.html","title":{"rendered":"MDML_PeptPerm\uff1a\u7528\u589e\u5f3a\u91c7\u6837 MD \u7684 3D \u6784\u8c61\u4fe1\u606f\u201c\u6559\u4f1a\u201d\u673a\u5668\u5b66\u4e60\u9884\u6d4b\u73af\u80bd\u819c\u6e17\u900f\u6027"},"content":{"rendered":"<p>\u672c\u6587\u6536\u5f55\u4e8e\u4e13\u680f \u5f00\u6e90\u591a\u80bd\u6027\u8d28\u9884\u6d4b \u2014\u2014 \u4e13\u680f\u7cfb\u7edf\u8986\u76d6\u5f00\u6e90\u591a\u80bd\u6027\u8d28\u9884\u6d4b\u5de5\u5177&#xff0c;\u70b9\u51fb\u8ba2\u9605\u53ef\u8ddf\u8e2a\u540e\u7eed\u66f4\u65b0\u3002<\/p>\n<p>\u4f60\u5982\u679c\u505a\u8fc7\u73af\u80bd\u836f\u7269\u7b5b\u9009&#xff0c;\u5927\u6982\u7387\u649e\u8fc7\u8fd9\u5835\u5899&#xff1a;\u7eaf 2D \u63cf\u8ff0\u7b26\u5728\u8bad\u7ec3\u96c6\u5185 R&#061;0.77&#xff0c;\u4e00\u65e6\u62ff\u53bb\u9884\u6d4b\u9aa8\u67b6\u548c\u8bbe\u8ba1\u7406\u5ff5\u4e0d\u540c\u7684\u5168\u65b0\u80bd\u7cfb\u5217\u5c31\u6389\u5230 R&#061;0.29\u3002\u8fd9\u7bc7\u89e3\u8bfb\u7ed9\u4f60\u62c6\u5f00 Sugita et al. (ACS Omega 2026) \u7684 MDML_PeptPerm \u65b9\u6848\u2014\u2014\u7528 REST\/REUS \u589e\u5f3a\u91c7\u6837 MD \u5728\u819c\u4e2d\u5fc3\u3001\u754c\u9762\u3001\u6c34\u76f8\u4e09\u4e2a\u4f4d\u7f6e\u63d0\u53d6 PS3D \u6784\u8c61\u63cf\u8ff0\u7b26&#xff0c;\u628a\u8de8\u7ec6\u80de\u819c\u9884\u6d4b\u7684 R \u62c9\u56de 0.59&#xff0c;\u5168\u6587 252 \u4e2a\u8bad\u7ec3\u80bd\u300194 \u4e2a\u53bb\u5197\u4f59\u63cf\u8ff0\u7b26\u3001XGBoost \u5d4c\u5957 CV \u7684\u6bcf\u4e2a\u6570\u5b57\u90fd\u5bf9\u56de\u8bba\u6587 Table 1-8\u3002\u4f60\u53ef\u4ee5\u76f4\u63a5\u7167\u7740\u7b2c\u516d\u8282\u5728\u672c\u673a\u590d\u73b0&#xff1a;clone \u5b98\u65b9 GitHub \u4ed3\u5e93\u3001mamba \u5efa\u73af\u5883\u3001\u8dd1 main.ipynb \u8bad\u7ec3\u548c ex_test.ipynb \u5916\u90e8\u6d4b\u8bd5&#xff0c;\u518d\u7528 LODSO \u7559\u4e00\u6570\u636e\u96c6\u7684\u601d\u8def\u8bda\u5b9e\u8bc4\u4f30\u81ea\u5df1\u6a21\u578b\u7684\u6cdb\u5316\u80fd\u529b\u3002 <img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/10\/20261025185632-6ade50e090054.png\" alt=\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\" \/><\/p>\n<p>\u5173\u952e\u5b57&#xff1a;\u73af\u80bd\u819c\u6e17\u900f\u6027\u3001PS3D \u63cf\u8ff0\u7b26\u3001REST\/REUS \u589e\u5f3a\u91c7\u6837\u3001\u673a\u5668\u5b66\u4e60\u9884\u6d4b\u3001XGBoost\u3001\u7559\u4e00\u6570\u636e\u96c6\u9a8c\u8bc1&#xff08;LODSO&#xff09;\u3001PAMPA\u3001CPPTRAJ<\/p>\n<h3>\u76ee\u5f55<\/h3>\n<ul>\n<li>\u4e00\u3001\u80cc\u666f\u2014\u2014&#034;\u53d8\u8272\u9f99&#034;\u80bd\u4e0e 2D \u63cf\u8ff0\u7b26\u7684\u5929\u82b1\u677f<\/li>\n<li>\u4e8c\u3001\u65b9\u6cd5\u5168\u666f\u2014\u2014MD \u600e\u4e48\u548c ML \u63a5\u4e0a\u5934&#xff1f;<\/li>\n<li>\u4e09\u3001\u673a\u5668\u5b66\u4e60\u2014\u20146 \u79cd\u6a21\u578b &#043; \u5d4c\u5957 CV &#043; \u4e25\u683c\u5916\u90e8\u9a8c\u8bc1<\/li>\n<li>\u56db\u3001\u6700\u4e25\u5cfb\u7684\u8003\u9a8c\u2014\u2014\u7559\u4e00\u6570\u636e\u96c6 (Leave-One-Data-Set-Out)<\/li>\n<li>\u4e94\u3001\u4e0e\u6df1\u5ea6\u5b66\u4e60\u65b9\u6cd5\u5bf9\u6bd4\u2014\u2014Table 8<\/li>\n<li>\u516d\u3001\u672c\u5730\u5b9e\u6218<\/li>\n<li>\u4e03\u3001\u5c40\u9650\u4e0e\u6ce8\u610f\u4e8b\u9879&#xff08;\u6765\u81ea\u8bba\u6587\u539f\u6587\u7684\u8bda\u5b9e\u8ba8\u8bba&#xff09;<\/li>\n<li>\u516b\u3001\u8fd9\u4e2a\u5de5\u4f5c\u7684\u771f\u6b63\u610f\u4e49\u2014\u2014&#034;\u84b8\u998f MD \u667a\u80fd&#034;\u7684\u601d\u8def<\/li>\n<\/ul>\n<p>\u6838\u5fc3\u6d1e\u5bdf&#xff1a;\u53ea\u7528 2D \u63cf\u8ff0\u7b26&#xff08;\u5982 SlogP&#xff09;\u9884\u6d4b\u73af\u80bd\u819c\u6e17\u900f\u7387&#xff0c;\u5728&#034;\u89c1\u8fc7&#034;\u7684\u5316\u5b66\u7a7a\u95f4\u91cc\u8fd8\u884c&#xff08;R&#061;0.77&#xff09;&#xff0c;\u4e00\u65e6\u9047\u5230\u9aa8\u67b6\u4e0d\u540c\u3001\u8bbe\u8ba1\u7406\u5ff5\u4e0d\u540c\u7684\u5168\u65b0\u80bd\u7cfb\u5217\u5c31\u5d29&#xff08;R&#061;0.29&#xff09;\u3002PS3D \u63cf\u8ff0\u7b26\u2014\u2014\u4ece REST\/REUS \u589e\u5f3a\u91c7\u6837 MD \u4e2d\u6309\u6b8b\u57fa\u4f4d\u7f6e\u63d0\u53d6\u7684\u6784\u8c61\u6307\u7eb9\u2014\u2014\u5728\u8de8\u5316\u5b66\u7cfb\u5217\u9884\u6d4b\u4e2d\u628a R \u4ece 0.29 \u62c9\u56de\u5230 0.59\u3002\u8fd9\u5c31\u662f MD \u4fe1\u606f\u8865\u4e0a\u4e86 2D \u63cf\u8ff0\u7b26\u7684\u7ed3\u6784\u6027\u76f2\u533a\u3002<\/p>\n<p>\u8bba\u6587&#xff1a;Sugita M, Noso Y, Li J, Fujie T, Yanagisawa K, Akiyama Y. Protocol for Membrane Permeability Prediction of Cyclic Peptides Using Descriptors Obtained from Extended Ensemble Molecular Dynamics Simulations and Chemical Structures. ACS Omega, 2026, 11(27): 40628\u201340644. DOI: 10.1021\/acsomega.6c03721<\/p>\n<p>GitHub&#xff1a;https:\/\/github.com\/akiyamalab\/MDML_PeptPerm<\/p>\n<hr \/>\n<h3>\u4e00\u3001\u80cc\u666f\u2014\u2014&#034;\u53d8\u8272\u9f99&#034;\u80bd\u4e0e 2D \u63cf\u8ff0\u7b26\u7684\u5929\u82b1\u677f<\/h3>\n<p>\u73af\u80bd\u836f\u7269\u7814\u53d1\u6709\u4e00\u4e2a\u516c\u8ba4\u74f6\u9888&#xff1a;\u819c\u6e17\u900f\u7387\u3002\u66f4\u9ebb\u70e6\u7684\u662f&#xff0c;\u73af\u80bd\u5177\u6709&#034;\u53d8\u8272\u9f99&#034;&#xff08;chameleonic&#xff09;\u884c\u4e3a\u2014\u2014\u5728\u6c34\u91cc\u66b4\u9732\u6781\u6027\u57fa\u56e2\u4fdd\u6301\u6eb6\u89e3&#xff0c;\u8fdb\u819c\u540e\u53cd\u800c\u628a\u6781\u6027\u57fa\u56e2&#034;\u85cf&#034;\u8d77\u6765\u5f62\u6210\u5206\u5b50\u5185\u6c22\u952e\u3002\u4e24\u4e2a SlogP \u51e0\u4e4e\u76f8\u540c\u7684\u80bd&#xff0c;\u4e00\u4e2a&#034;\u80fd\u53d8\u8272&#034;&#xff08;\u7a7f\u819c&#xff09;&#xff0c;\u4e00\u4e2a&#034;\u4e0d\u53d8\u5316&#034;&#xff08;\u5361\u4f4f&#xff09;&#xff0c;2D \u5316\u5b66\u63cf\u8ff0\u7b26\u5b8c\u5168\u533a\u5206\u4e0d\u4e86\u3002<\/p>\n<p>\u8fd9\u4e2a\u95ee\u9898\u5728\u6570\u636e\u5c42\u9762\u6709\u4e00\u4e2a\u66f4\u5fae\u5999\u7684\u8868\u73b0\u3002\u770b\u8bba\u6587 Figure 6\u2014\u2014\u56db\u4e2a\u6570\u636e\u96c6\u4e2d SlogP \u548c\u819c\u6e17\u900f\u7387\u7684\u76f8\u5173\u6027&#xff1a;<\/p>\n<table>\n<tr>\u6570\u636e\u96c6SlogP \u4e0e logP&#xff08;PAMPA&#xff09;\u7684 R\u7279\u70b9<\/tr>\n<tbody>\n<tr>\n<td>Furukawa 2016<\/td>\n<td>0.66<\/td>\n<td>\u4e3b\u94fe\u9aa8\u67b6\u56fa\u5b9a&#xff0c;\u4fa7\u94fe\u53d8\u5316<\/td>\n<\/tr>\n<tr>\n<td>Furukawa 2020<\/td>\n<td>0.51<\/td>\n<td>\u6df7\u5408 Library A\/B&#xff0c;\u6837\u672c\u91cf\u4ec5 18<\/td>\n<\/tr>\n<tr>\n<td>Kelly 2021<\/td>\n<td>0.83<\/td>\n<td>SlogP \u76f8\u5173\u6027\u6781\u9ad8\u2014\u2014\u4f46 2D \u63cf\u8ff0\u7b26\u5728\u7559\u4e00\u6570\u636e\u96c6\u6d4b\u8bd5\u4e2d\u8868\u73b0\u6700\u5dee&#xff08;R&#061;0.29&#xff09;<\/td>\n<\/tr>\n<tr>\n<td>Bhardwaj 2022<\/td>\n<td>0.55<\/td>\n<td>\u6545\u610f\u8bbe\u8ba1\u6210\u4f4e AlogP \u76f8\u5173&#xff0c;2D \u63cf\u8ff0\u7b26\u9884\u6d4b\u56f0\u96be<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>Kelly 2021 \u662f\u6700\u53cd\u76f4\u89c9\u7684&#xff1a;SlogP \u548c\u6e17\u900f\u7387 R&#061;0.83&#xff0c;\u770b\u7740\u76f8\u5173\u6027\u6781\u5f3a&#xff0c;\u4f46\u5f53\u4f60\u7528\u5176\u4ed6\u4e09\u4e2a\u6570\u636e\u96c6\u8bad\u7ec3\u6a21\u578b\u3001\u9884\u6d4b Kelly 2021 \u65f6&#xff0c;\u7eaf 2D \u63cf\u8ff0\u7b26\u53ea\u62ff\u5230 R&#061;0.29\u2014\u2014\u800c PS3D \u63cf\u8ff0\u7b26\u80fd\u505a\u5230 R&#061;0.59\u3002\u4e3a\u4ec0\u4e48&#xff1f;\u56e0\u4e3a Kelly 2021 \u4e2d\u5927\u91cf\u80bd\u5177\u6709\u76f8\u540c\u7684\u6c28\u57fa\u9178\u7ec4\u6210\u3001\u4e0d\u540c\u7684\u5e8f\u5217\u987a\u5e8f&#xff0c;\u5bfc\u81f4\u4e0d\u540c\u7684 3D \u6784\u8c61\u30022D \u63cf\u8ff0\u7b26\u770b\u4e0d\u51fa\u5e8f\u5217\u6392\u5217\u5dee\u5f02&#xff0c;\u4f46 PS3D \u63cf\u8ff0\u7b26\u53ef\u4ee5\u3002<\/p>\n<hr \/>\n<h3>\u4e8c\u3001\u65b9\u6cd5\u5168\u666f\u2014\u2014MD \u600e\u4e48\u548c ML \u63a5\u4e0a\u5934&#xff1f;<\/h3>\n<h4>2.1 \u603b\u89c8\u5de5\u4f5c\u6d41&#xff1a;\u4e24\u6761\u901a\u9053&#xff0c;\u4e00\u4e2a\u6c47\u5408\u70b9<\/h4>\n<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/10\/20261025185633-6ade50e102682.png\" alt=\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\" \/><\/p>\n<p>\u6574\u6761\u7ba1\u7ebf\u53ea\u6709\u4e24\u6761\u8f93\u5165\u901a\u9053&#xff1a;2D \u901a\u9053\u76f4\u63a5\u4ece SMILES \u7b97\u7ecf\u5178\u63cf\u8ff0\u7b26&#xff08;\u4e0d\u82b1\u94b1&#xff09;&#xff1b;3D \u901a\u9053\u628a\u6bcf\u4e2a\u80bd\u653e\u8fdb POPC\/\u80c6\u56fa\u9187\u819c\u91cc\u8dd1 REST\/REUS \u589e\u5f3a\u91c7\u6837&#xff0c;\u5728\u819c\u4e2d\u5fc3\u3001\u754c\u9762\u3001\u6c34\u76f8\u4e09\u4e2a\u6df1\u5ea6\u5404\u53d6 10,000 \u4e2a\u6784\u8c61 snapshot&#xff0c;\u518d\u7528 MOE &#043; CPPTRAJ \u63d0\u53d6\u6784\u8c61\u63cf\u8ff0\u7b26\u3002\u4e24\u6761\u901a\u9053\u5728&#034;\u56db\u7c7b\u63cf\u8ff0\u7b26&#034;\u5904\u6c47\u5408&#xff1a;2D \/ 3D&#xff08;\u4e09\u4f4d\u7f6e\u5747\u503c&#xff09;\/ PS3D&#xff08;\u6bcf\u4f4d\u7f6e\u72ec\u7acb&#xff09;\/ \u0394PS3D&#xff08;\u4f4d\u7f6e\u95f4\u5dee\u503c&#xff09;&#xff0c;\u53bb\u5197\u4f59\u540e\u5171 94 \u4e2a\u7279\u5f81&#xff0c;\u4ea4\u7ed9 6 \u79cd ML \u6a21\u578b\u505a\u5d4c\u5957 CV\u3002<\/p>\n<p>\u4e00\u53e5\u8bdd\u7406\u89e3\u8bbe\u8ba1\u610f\u56fe&#xff1a;2D \u544a\u8bc9\u4f60\u8fd9\u4e2a\u80bd&#034;\u662f\u4ec0\u4e48&#034;&#xff0c;PS3D\/\u0394PS3D \u544a\u8bc9\u4f60\u5b83&#034;\u8fdb\u819c\u65f6\u600e\u4e48\u53d8&#034;\u2014\u2014\u540e\u8005\u7684\u6784\u8c61\u4fe1\u606f\u6b63\u662f\u7eaf 2D \u63cf\u8ff0\u7b26\u7684\u7ed3\u6784\u6027\u76f2\u533a\u3002<\/p>\n<h4>2.2 MD \u6a21\u62df\u8bbe\u7f6e\u2014\u2014\u56db\u4e2a\u5173\u952e\u5de5\u7a0b\u9009\u62e9<\/h4>\n<p>\u8fd9\u5957 MD \u6bd4\u5e38\u89c4&#034;\u8dd1\u4e2a\u52a8\u529b\u5b66&#034;\u91cd\u5f97\u591a&#xff0c;\u6838\u5fc3\u8bbe\u7f6e\u4e00\u5f20\u8868\u770b\u5168&#xff1a;<\/p>\n<table>\n<tr>\u8bbe\u7f6e\u9879\u9009\u62e9\u4e3a\u4ec0\u4e48\u8fd9\u4e48\u9009<\/tr>\n<tbody>\n<tr>\n<td>\u529b\u573a<\/td>\n<td>MOE Amber10:EHT&#xff08;\u975e GAFF\/GAFF2&#xff09;<\/td>\n<td>\u7814\u7a76\u5bf9\u8c61\u542b\u5927\u91cf\u975e\u5929\u7136\u6c28\u57fa\u9178\u548c N-\u53d6\u4ee3\u80bd\u952e&#xff0c;\u9700\u8981\u80fd\u81ea\u52a8\u5904\u7406\u4efb\u610f\u5316\u5b66\u7ed3\u6784\u7684\u53c2\u6570\u5316\u6d41\u7a0b&#xff1a;Amber10 \u952e\u5408\u53c2\u6570 &#043; EHT \u8865\u975e\u6807\u51c6\u539f\u5b50\u7c7b\u578b &#043; MMFF94 \u90e8\u5206\u7535\u8377<\/td>\n<\/tr>\n<tr>\n<td>\u819c\u6a21\u578b<\/td>\n<td>POPC 72 \u5206\u5b50 &#043; 40 mol% \u80c6\u56fa\u9187 48 \u5206\u5b50<\/td>\n<td>\u4f5c\u8005\u6b64\u524d\u5de5\u4f5c\u8bc1\u660e\u8be5\u529b\u573a\u4e0b\u5bf9\u6e17\u900f\u7387\u9884\u6d4b\u6700\u4f18\u7684\u8102\u8d28\u7ec4\u6210<\/td>\n<\/tr>\n<tr>\n<td>\u91c7\u6837&#xff1a;REST \u7ef4<\/td>\n<td>8 \u4e2a\u6eb6\u8d28\u6e29\u5ea6\u526f\u672c&#xff0c;300 K \u2192 980 K \u6307\u6570\u5206\u5e03<\/td>\n<td>\u53ea\u52a0\u70ed\u80bd&#xff08;\u819c\u548c\u6c34\u4fdd\u6301 300 K&#xff09;&#xff1b;980 K \u8db3\u4ee5\u91c7\u6837\u812f\u6c28\u9178 cis-trans \u5f02\u6784\u5316\u548c N-\u7532\u57fa\u5316\u80bd\u952e\u65cb\u8f6c<\/td>\n<\/tr>\n<tr>\n<td>\u91c7\u6837&#xff1a;REUS \u7ef4<\/td>\n<td>2 \u4e2a\u4f1e\u5f62\u7a97\u53e3\u62f4\u4f4f\u53cd\u5e94\u5750\u6807 z<\/td>\n<td>\u819c\u4e2d\u5fc3 k&#061;1.5 kcal\/mol\/\u00c5\u00b2&#xff0c;\u754c\u9762\/\u6c34\u76f8 k&#061;0.5&#xff1b;\u6bcf 10 ps \u4e00\u6b21 Metropolis \u4ea4\u6362&#xff08;\u4ea4\u6362\u7387 10-30%&#xff09;<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u6bcf\u4e2a\u819c\u4f4d\u7f6e 2 \u00d7 8 &#061; 16 \u4e2a\u526f\u672c\u5e76\u884c&#xff0c;\u6bcf\u80bd\u603b\u65f6\u957f 400 ns&#xff08;\u524d 100 ns &#064;350 K \u52a0\u901f\u819c\u677e\u5f1b&#xff0c;\u540e 300 ns &#064;300 K \u751f\u4ea7&#xff09;\u3002<\/p>\n<p>\u6210\u672c\u91cf\u7ea7&#xff08;\u8fd9\u4e5f\u662f\u672c\u65b9\u6cd5\u6700\u5927\u7684\u95e8\u69db&#xff09;&#xff1a;<\/p>\n<table>\n<tr>\u9879\u76ee\u6570\u503c<\/tr>\n<tbody>\n<tr>\n<td>\u5355\u80bd\u8ba1\u7b97<\/td>\n<td>~140 GPU \u5c0f\u65f6&#xff08;H100&#xff0c;8 processes\/GPU &#043; MPS&#xff09;<\/td>\n<\/tr>\n<tr>\n<td>276 \u80bd\u5168\u91cf<\/td>\n<td>38,640 GPU \u5c0f\u65f6<\/td>\n<\/tr>\n<tr>\n<td>\u603b\u8f68\u8ff9\u91cf<\/td>\n<td>~53 TB&#xff08;\u63cf\u8ff0\u7b26\u8ba1\u7b97\u7528\u6389 3.3 TB&#xff09;<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>GitHub \u4ed3\u5e93\u53ea\u653e\u63cf\u8ff0\u7b26 CSV \u4e0d\u653e\u539f\u59cb\u8f68\u8ff9\u2014\u201453 TB \u5b9e\u5728\u5206\u4eab\u4e0d\u4e86\u3002<\/p>\n<h4>2.3 \u56db\u7c7b\u63cf\u8ff0\u7b26\u2014\u2014\u5206\u7c7b\u903b\u8f91\u4e0e\u6765\u6e90<\/h4>\n<p>\u63cf\u8ff0\u7b26\u5206\u56db\u7c7b&#xff0c;\u533a\u5206\u903b\u8f91\u975e\u5e38\u7269\u7406&#xff0c;\u4e00\u5f20\u8868\u8fde\u6765\u6e90\u4e00\u8d77\u770b\u5168&#xff1a;<\/p>\n<table>\n<tr>\u7c7b\u522b\u8ba1\u7b97\u65b9\u5f0f\u7279\u5f81\u6570\u7269\u7406\u542b\u4e49\u5178\u578b\u6765\u6e90<\/tr>\n<tbody>\n<tr>\n<td>2D<\/td>\n<td>\u76f4\u63a5\u4ece\u7ed3\u6784\u5f0f\u8ba1\u7b97<\/td>\n<td align=\"center\">20<\/td>\n<td>SlogP\u3001TPSA\u3001\u53ef\u65cb\u8f6c\u952e\u6570\u7b49\u7ecf\u5178\u63cf\u8ff0\u7b26<\/td>\n<td>MOE 2D&#xff08;GCUT_\u3001vsa_ \u7b49&#xff09;<\/td>\n<\/tr>\n<tr>\n<td>3D<\/td>\n<td>\u4e09\u4f4d\u7f6e&#xff08;\u819c\u4e2d\u5fc3\/\u754c\u9762\/\u6c34&#xff09;\u53d6\u5747\u503c<\/td>\n<td align=\"center\">1<\/td>\n<td>\u8de8\u73af\u5883&#034;\u4e0d\u53d8&#034;\u7684\u6574\u4f53\u7279\u5f81<\/td>\n<td>MOE 3D&#xff08;ASA\u3001dipole\u3001vsurf_* \u7b49&#xff09;<\/td>\n<\/tr>\n<tr>\n<td>PS3D<\/td>\n<td>\u6bcf\u4e2a\u4f4d\u7f6e\u72ec\u7acb\u4f5c\u4e00\u4e2a\u7279\u5f81<\/td>\n<td align=\"center\">28<\/td>\n<td>\u4f4d\u7f6e\u7279\u5f02\u2014\u2014\u201c\u5728\u819c\u91cc vs \u5728\u6c34\u91cc&#xff0c;\u540c\u4e00\u7279\u5f81\u4e0d\u540c\u503c\u201d<\/td>\n<td>CPPTRAJ&#xff08;\u76f8\u4e92\u4f5c\u7528\u80fd dE_vdw\/dE_elec\u3001\u80bd-\u6c34\u6c22\u952e out_hbond\u3001\u5206\u5b50\u5185\u6c22\u952e in_hbond\u3001\u6784\u8c61\u71b5\u3001\u8102-\u6c34\u63a5\u89e6\u6570 LW_contacts \u7b49&#xff09;&#043; MOE 3D<\/td>\n<\/tr>\n<tr>\n<td>\u0394PS3D<\/td>\n<td>\u4e24\u4f4d\u7f6e\u5dee\u503c&#xff08;\u6c34\u2212\u754c\u9762\u3001\u6c34\u2212\u819c\u4e2d\u5fc3\u3001\u754c\u9762\u2212\u819c\u4e2d\u5fc3&#xff09;<\/td>\n<td align=\"center\">45<\/td>\n<td>\u6784\u8c61\u53d8\u5316\u2014\u2014\u201c\u4ece\u6c34\u8fdb\u819c\u540e\u8fd9\u4e2a\u7279\u5f81\u53d8\u4e86\u591a\u5c11\u201d<\/td>\n<td>\u7531 PS3D \u76f8\u51cf\u6d3e\u751f<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>3D \u548c PS3D \u600e\u4e48\u5224&#xff1a;\u7b97\u67d0\u4e00\u63cf\u8ff0\u7b26\u5728\u4e09\u4e2a\u4f4d\u7f6e\u4e0a\u7684\u80bd\u95f4 Pearson R\u2014\u2014\u4efb\u610f\u4e00\u5bf9\u4f4d\u7f6e R &lt; 0.9&#xff0c;\u8bf4\u660e\u8be5\u63cf\u8ff0\u7b26\u968f\u73af\u5883\u663e\u8457\u53d8\u5316&#xff0c;\u5f52 PS3D&#xff08;\u4e09\u4f4d\u7f6e\u5404\u7559\u4e00\u4e2a\u7279\u5f81&#xff09;&#xff1b;\u4e09\u5bf9 R \u5168\u90e8 \u2265 0.9&#xff0c;\u8bf4\u660e\u7a7f\u819c\u524d\u540e\u51e0\u4e4e\u4e0d\u53d8&#xff0c;\u53d6\u5747\u503c\u5f52 3D\u3002<\/p>\n<p>\u7ed3\u679c\u662f\u53ea\u6709 1 \u4e2a\u63cf\u8ff0\u7b26\u8fdb\u4e86 3D \u7c7b\u2014\u2014\u51e0\u4e4e\u6240\u6709 MD \u884d\u751f\u63cf\u8ff0\u7b26\u90fd\u6709\u663e\u8457\u7684\u73af\u5883\u4f9d\u8d56\u6027\u3002\u8fd9\u672c\u8eab\u5c31\u662f\u4e2a\u91cd\u8981\u53d1\u73b0&#xff1a;\u73af\u80bd\u7684\u6784\u8c61\u7279\u6027\u5728\u819c\u7684\u4e0d\u540c\u6df1\u5ea6\u622a\u7136\u4e0d\u540c&#xff0c;\u4e5f\u89e3\u91ca\u4e86\u4e3a\u4ec0\u4e48 PS3D\/\u0394PS3D \u80fd\u8865\u4e0a 2D \u770b\u4e0d\u89c1\u7684\u76f2\u533a\u3002 <img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/10\/20261025185636-6ade50e4dbbee.png\" alt=\"\u6700\u91cd\u8981\u7684\u5341\u4e2a\u63cf\u8ff0\u7b26\" \/><\/p>\n<hr \/>\n<h3>\u4e09\u3001\u673a\u5668\u5b66\u4e60\u2014\u20146 \u79cd\u6a21\u578b &#043; \u5d4c\u5957 CV &#043; \u4e25\u683c\u5916\u90e8\u9a8c\u8bc1<\/h3>\n<h4>3.1 \u7279\u5f81\u7b5b\u9009<\/h4>\n<p>\u56e0\u63cf\u8ff0\u7b26\u6570&#xff08;735 \u539f\u59cb&#xff09; &gt;&gt; \u6837\u672c\u6570&#xff08;252&#xff09;&#xff0c;\u5148\u505a\u76f8\u5173\u6027\u53bb\u5197\u4f59&#xff1a;\u8ba1\u7b97\u6240\u6709\u63cf\u8ff0\u7b26\u5bf9\u7684 Pearson R&#xff0c;\u82e5\u4e24\u63cf\u8ff0\u7b26 R &gt; \u9608\u503c\u5219\u4fdd\u7559\u4e0e\u76ee\u6807\u53d8\u91cf\u76f8\u5173\u6027\u66f4\u9ad8\u7684\u90a3\u4e2a\u3002\u9608\u503c\u901a\u8fc7 RF 5 \u6298 CV MAE \u626b\u63cf\u786e\u5b9a&#xff08;Figure S6&#xff09;&#xff0c;\u6700\u7ec8\u9009 0.6\u3002<\/p>\n<p>\u53bb\u5197\u4f59\u540e&#xff1a;20&#xff08;2D&#xff09;&#043; 1&#xff08;3D&#xff09;&#043; 28&#xff08;PS3D&#xff09;&#043; 45&#xff08;\u0394PS3D&#xff09;&#061; 94 \u4e2a\u63cf\u8ff0\u7b26\u3002<\/p>\n<h4>3.2 \u5d4c\u5957\u4ea4\u53c9\u9a8c\u8bc1<\/h4>\n<p>\u5916\u5faa\u73af&#xff1a;5 \u6298 CV&#xff08;80% \u8bad\u7ec3 \/ 20% \u9a8c\u8bc1&#xff09; \u5185\u5faa\u73af&#xff1a;4 \u6298 CV&#xff08;\u5728\u8bad\u7ec3\u96c6\u5185\u505a\u8d85\u53c2\u7f51\u683c\u641c\u7d22&#xff09; \u8bc4\u4ef7\u6307\u6807&#xff1a;R\u3001MAE\u3001RMSE\u3001Q\u00b2&#xff08;\u9a8c\u8bc1&#xff09;\/ R\u00b2&#xff08;\u6d4b\u8bd5&#xff09;<\/p>\n<h4>3.3 \u5168\u6570\u636e\u96c6 5 \u6298 CV \u7ed3\u679c<\/h4>\n<p>Table 1\u2014\u2014\u5168\u90e8 252 \u80bd\u6df7\u5408\u968f\u673a\u5212\u5206&#xff1a;<\/p>\n<table>\n<tr>\u7b97\u6cd5RMAERMSEQ\u00b2<\/tr>\n<tbody>\n<tr>\n<td>LASSO<\/td>\n<td>0.73 \u00b1 0.07<\/td>\n<td>0.51 \u00b1 0.04<\/td>\n<td>0.65 \u00b1 0.05<\/td>\n<td>0.53 \u00b1 0.10<\/td>\n<\/tr>\n<tr>\n<td>Ridge<\/td>\n<td>0.73 \u00b1 0.07<\/td>\n<td>0.51 \u00b1 0.05<\/td>\n<td>0.65 \u00b1 0.05<\/td>\n<td>0.53 \u00b1 0.10<\/td>\n<\/tr>\n<tr>\n<td>SVM<\/td>\n<td>0.74 \u00b1 0.06<\/td>\n<td>0.51 \u00b1 0.05<\/td>\n<td>0.65 \u00b1 0.06<\/td>\n<td>0.53 \u00b1 0.09<\/td>\n<\/tr>\n<tr>\n<td>RF<\/td>\n<td>0.76 \u00b1 0.06<\/td>\n<td>0.48 \u00b1 0.06<\/td>\n<td>0.64 \u00b1 0.08<\/td>\n<td>0.55 \u00b1 0.08<\/td>\n<\/tr>\n<tr>\n<td>XGBoost<\/td>\n<td>0.77 \u00b1 0.07<\/td>\n<td>0.46 \u00b1 0.05<\/td>\n<td>0.62 \u00b1 0.08<\/td>\n<td>0.58 \u00b1 0.08<\/td>\n<\/tr>\n<tr>\n<td>LightGBM<\/td>\n<td>0.74 \u00b1 0.07<\/td>\n<td>0.47 \u00b1 0.06<\/td>\n<td>0.65 \u00b1 0.09<\/td>\n<td>0.54 \u00b1 0.01<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u4e09\u4e2a\u5173\u952e\u89c2\u5bdf&#xff1a;<\/p>\n<li>\u7ebf\u6027\u6a21\u578b&#xff08;LASSO\/Ridge R&#061;0.73&#xff09;\u548c\u6811\u6a21\u578b&#xff08;XGBoost R&#061;0.77&#xff09;\u5dee\u8ddd\u4e0d\u5927\u2014\u2014\u8bf4\u660e\u95ee\u9898\u6ca1\u6709\u590d\u6742\u7684\u975e\u7ebf\u6027\u4ea4\u4e92&#xff0c;\u7279\u5f81\u5de5\u7a0b\u672c\u8eab\u5df2\u7ecf\u6355\u83b7\u4e86\u6838\u5fc3\u4fe1\u53f7\u3002<\/li>\n<li>Friedman test &#043; Wilcoxon post-hoc \u663e\u793a\u516d\u4e2a\u6a21\u578b\u95f4\u65e0\u7edf\u8ba1\u5b66\u663e\u8457\u5dee\u5f02&#xff08;P &gt; 0.42&#xff09;\u3002<\/li>\n<li>\u590d\u6742\u6a21\u578b\u672a\u8fc7\u62df\u5408\u2014\u2014\u5982\u679c\u8fc7\u62df\u5408&#xff0c;Ridge \u548c XGBoost \u7684\u5dee\u8ddd\u4f1a\u66f4\u5927\u3002<\/li>\n<h4>3.4 \u5206\u6570\u636e\u96c6 CV \u7ed3\u679c<\/h4>\n<p>Table 2\u2014\u2014\u5728\u56db\u4e2a\u6570\u636e\u96c6\u4e0a\u7684\u5206\u522b\u8868\u73b0&#xff1a;<\/p>\n<table>\n<tr>\u6570\u636e\u96c6RMAERMSEQ\u00b2\u5173\u952e\u7279\u5f81<\/tr>\n<tbody>\n<tr>\n<td>Furukawa 2016<\/td>\n<td>0.86<\/td>\n<td>0.41<\/td>\n<td>0.51<\/td>\n<td>0.71<\/td>\n<td>SlogP \u9ad8\u76f8\u5173&#xff08;R&#061;0.66&#xff09;&#xff0c;\u4e3b\u94fe\u56fa\u5b9a<\/td>\n<\/tr>\n<tr>\n<td>Furukawa 2020<\/td>\n<td>0.45<\/td>\n<td>0.54<\/td>\n<td>0.66<\/td>\n<td>0.17<\/td>\n<td>\u6837\u672c\u91cf\u592a\u5c0f&#xff08;18 \u4e2a&#xff09;&#043; Library A\/B \u6df7\u5408<\/td>\n<\/tr>\n<tr>\n<td>Kelly 2021<\/td>\n<td>0.83<\/td>\n<td>0.31<\/td>\n<td>0.40<\/td>\n<td>0.69<\/td>\n<td>\u540c\u7ec4\u6210\u4e0d\u540c\u5e8f\u5217&#xff0c;PS3D \u5e2e\u52a9\u5927<\/td>\n<\/tr>\n<tr>\n<td>Bhardwaj 2022<\/td>\n<td>0.70<\/td>\n<td>0.65<\/td>\n<td>0.85<\/td>\n<td>0.47<\/td>\n<td>\u63cf\u8ff0\u7b26\u7a7a\u95f4\u5206\u5e03\u5e7f&#xff0c;\u68c0\u6d4b\u9650\u4ee5\u4e0b\u80bd\u9884\u6d4b\u65b9\u5dee\u5927<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h4>3.5 \u63cf\u8ff0\u7b26\u6d88\u878d\u5b9e\u9a8c\u2014\u2014Table 3 \u7684\u6838\u5fc3\u4fe1\u606f<\/h4>\n<p>\u7528\u5168\u90e8 252 \u80bd\u6df7\u5408\u968f\u673a CV&#xff0c;\u62c6\u89e3\u56db\u7c7b\u63cf\u8ff0\u7b26\u7684\u72ec\u7acb\u8d21\u732e&#xff1a;<\/p>\n<table>\n<tr>\u63cf\u8ff0\u7b26\u7ec4\u5408RMAERMSEQ\u00b2<\/tr>\n<tbody>\n<tr>\n<td>2D only<\/td>\n<td>0.77 \u00b1 0.04<\/td>\n<td>0.46 \u00b1 0.04<\/td>\n<td>0.63 \u00b1 0.06<\/td>\n<td>0.56 \u00b1 0.04<\/td>\n<\/tr>\n<tr>\n<td>PS3D only<\/td>\n<td>0.57 \u00b1 0.15<\/td>\n<td>0.61 \u00b1 0.08<\/td>\n<td>0.80 \u00b1 0.14<\/td>\n<td>0.28 \u00b1 0.21<\/td>\n<\/tr>\n<tr>\n<td>3D only<\/td>\n<td>0.25 \u00b1 0.11<\/td>\n<td>0.83 \u00b1 0.08<\/td>\n<td>1.15 \u00b1 0.10<\/td>\n<td>\u22120.55 \u00b1 0.50<\/td>\n<\/tr>\n<tr>\n<td>\u0394PS3D only<\/td>\n<td>0.23 \u00b1 0.14<\/td>\n<td>0.76 \u00b1 0.06<\/td>\n<td>0.97 \u00b1 0.07<\/td>\n<td>\u22120.04 \u00b1 0.16<\/td>\n<\/tr>\n<tr>\n<td>2D &#043; PS3D<\/td>\n<td>0.79 \u00b1 0.05<\/td>\n<td>0.44 \u00b1 0.05<\/td>\n<td>0.60 \u00b1 0.08<\/td>\n<td>0.61 \u00b1 0.08<\/td>\n<\/tr>\n<tr>\n<td>2D &#043; PS3D &#043; \u0394PS3D<\/td>\n<td>0.78 \u00b1 0.06<\/td>\n<td>0.46 \u00b1 0.05<\/td>\n<td>0.61 \u00b1 0.07<\/td>\n<td>0.58 \u00b1 0.08<\/td>\n<\/tr>\n<tr>\n<td>All (2D&#043;3D&#043;PS3D&#043;\u0394PS3D)<\/td>\n<td>0.77 \u00b1 0.06<\/td>\n<td>0.46 \u00b1 0.05<\/td>\n<td>0.62 \u00b1 0.06<\/td>\n<td>0.58 \u00b1 0.08<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u5173\u952e\u53d1\u73b0&#xff1a;<\/p>\n<ul>\n<li>2D \u5355\u72ec\u5df2\u7ecf\u5f88\u5f3a&#xff08;R&#061;0.77&#xff09;\u2014\u2014\u56e0\u4e3a\u968f\u673a\u5212\u5206 CV \u4e2d\u8bad\u7ec3\u96c6\u603b\u5305\u542b\u4e0e\u6d4b\u8bd5\u96c6\u5316\u5b66\u76f8\u4f3c\u7684\u80bd<\/li>\n<li>PS3D \u5355\u72ec\u4e2d\u7b49&#xff08;R&#061;0.57&#xff09;\u2014\u20143D \u6784\u8c61\u4fe1\u606f\u672c\u8eab\u542b\u6709\u6e17\u900f\u7387\u4fe1\u53f7<\/li>\n<li>2D &#043; PS3D \u6700\u4f18&#xff08;R&#061;0.79, Q\u00b2&#061;0.61&#xff09;\u2014\u2014\u7565\u4f18\u4e8e\u5168\u63cf\u8ff0\u7b26<\/li>\n<li>\u52a0 \u0394PS3D \u53cd\u800c\u7565\u964d\u2014\u2014\u53ef\u80fd\u662f\u56e0\u4e3a\u5dee\u503c\u5f15\u5165\u7edf\u8ba1\u566a\u58f0<\/li>\n<li>3D \u63cf\u8ff0\u7b26\u53ea\u5269 1 \u4e2a&#xff08;\u51e0\u4e4e\u6240\u6709\u7684\u90fd\u56e0\u4f4d\u7f6e\u95f4 R &lt; 0.9 \u88ab\u5f52\u4e3a PS3D&#xff09;<\/li>\n<\/ul>\n<h4>3.6 Top 10 \u7279\u5f81\u2014\u2014Figure 2<\/h4>\n<table>\n<tr>\u6392\u540d\u63cf\u8ff0\u7b26\u7c7b\u522b\u7269\u7406\u542b\u4e49<\/tr>\n<tbody>\n<tr>\n<td>1<\/td>\n<td>SlogP<\/td>\n<td>2D<\/td>\n<td>\u758f\u6c34\u6027\u2014\u2014\u4e0e\u6e17\u900f\u7387\u6b63\u76f8\u5173&#xff08;R&#061;0.47&#xff09;<\/td>\n<\/tr>\n<tr>\n<td>2<\/td>\n<td>density<\/td>\n<td>2D<\/td>\n<td>\u5206\u5b50\u5bc6\u5ea6\u2014\u2014\u7d27\u5b9e\u80bd\u66f4\u6613\u7a7f\u819c&#xff08;R&#061;\u22120.45&#xff09;<\/td>\n<\/tr>\n<tr>\n<td>3<\/td>\n<td>GCUT_SLOGP_1<\/td>\n<td>2D<\/td>\n<td>SlogP \u7684 GCUT \u77e9\u2014\u2014\u4eb2\u8102\u6027\u5206\u5e03<\/td>\n<\/tr>\n<tr>\n<td>4<\/td>\n<td>vsa_pol<\/td>\n<td>2D<\/td>\n<td>\u6781\u6027 vdW \u8868\u9762\u79ef\u2014\u2014\u4e0e\u5206\u5b50\u91cf\u9ad8\u76f8\u5173&#xff08;R&#061;0.89&#xff09;<\/td>\n<\/tr>\n<tr>\n<td>5<\/td>\n<td>opr_nrot<\/td>\n<td>2D<\/td>\n<td>\u53ef\u65cb\u8f6c\u952e\u6570\u2014\u2014\u80bd\u67d4\u6027<\/td>\n<\/tr>\n<tr>\n<td>6<\/td>\n<td>GCUT_PEOE_0<\/td>\n<td>2D<\/td>\n<td>\u90e8\u5206\u7535\u8377\u5206\u5e03\u7684 GCUT \u77e9<\/td>\n<\/tr>\n<tr>\n<td>7<\/td>\n<td>E_str<\/td>\n<td>3D<\/td>\n<td>\u952e\u4f38\u7f29\u80fd\u2014\u2014\u4e0e\u5206\u5b50\u91cf R&#061;0.48<\/td>\n<\/tr>\n<tr>\n<td>8<\/td>\n<td>dih_cos_mem_wat<\/td>\n<td>\u0394PS3D<\/td>\n<td>\u819c\u4e2d vs \u6c34\u4e2d\u4e8c\u9762\u89d2\u4f59\u5f26\u5dee\u2014\u2014\u6784\u8c61\u91cd\u6392<\/td>\n<\/tr>\n<tr>\n<td>9<\/td>\n<td>vsurf_CW5_sur<\/td>\n<td>PS3D<\/td>\n<td>\u819c\u754c\u9762\u4eb2\u6c34\u4f53\u79ef\u2014\u2014\u6781\u6027\u5c4f\u853d\u80fd\u529b<\/td>\n<\/tr>\n<tr>\n<td>10<\/td>\n<td>vsurf_IW1_mem \u2212 vsurf_IW1_sur<\/td>\n<td>\u0394PS3D<\/td>\n<td>\u819c\u4e2d vs \u754c\u9762\u4eb2\u6c34\u4f53\u79ef\u5dee<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u524d\u4e09\u7269\u7406\u56e0\u7d20&#xff1a;\u2460 \u4eb2\u6c34\/\u758f\u6c34\u7279\u6027&#xff08;\u53bb\u6eb6\u5242\u5316\u60e9\u7f5a&#xff09;\u2192 \u2461 \u5206\u5b50\u5927\u5c0f\u548c\u67d4\u6027&#xff08;\u63d2\u5165\u819c\u7684\u4ee3\u4ef7&#xff09;\u2192 \u2462 \u6784\u8c61\u91cd\u6392\u7a0b\u5ea6&#xff08;\u4ece\u6c34\u5230\u819c\u7684&#034;\u53d8\u8272&#034;\u80fd\u529b&#xff09;\u3002<\/p>\n<p>\u4e00\u4e2a\u91cd\u8981\u7684 caveat&#xff1a;\u7279\u5f81\u91cd\u8981\u6027 \u2260 \u56e0\u679c\u5173\u7cfb\u3002\u8fd9\u4e9b\u63cf\u8ff0\u7b26\u5e94\u8be5\u88ab\u7406\u89e3\u4e3a&#034;\u4e0e\u6e17\u900f\u7387\u7edf\u8ba1\u5173\u8054\u7684\u8bbe\u8ba1\u76f8\u5173\u56e0\u7d20&#034;&#xff0c;\u800c\u975e\u72ec\u7acb\u7684\u4f18\u5316\u76ee\u6807\u3002<\/p>\n<h4>3.7 \u5916\u90e8\u6d4b\u8bd5\u2014\u2014Wang 2021&#xff08;24 \u4e2a\u5168\u65b0\u80bd&#xff09;<\/h4>\n<p>\u5916\u90e8\u72ec\u7acb\u6d4b\u8bd5\u96c6\u6765\u81ea\u4e0d\u540c\u5b9e\u9a8c\u5ba4&#xff0c;\u5316\u5b66\u7ed3\u6784\u4e0e\u8bad\u7ec3\u96c6\u76f8\u5173\u4f46\u4f4d\u4e8e\u8bad\u7ec3\u63cf\u8ff0\u7b26\u7a7a\u95f4\u7684\u8fb9\u7f18&#xff08;Figure 3 PCA \u56fe\u663e\u793a Wang 2021 \u80bd\u5728 PC1-PC2 \u7a7a\u95f4\u4e2d\u9760\u8fd1\u8bad\u7ec3\u96c6\u5206\u5e03\u4f46\u8986\u76d6\u72ec\u7279\u533a\u57df&#xff09;\u3002<\/p>\n<p>\u7ed3\u679c&#xff1a;R &#061; 0.76 \u00b1 0.01, MAE &#061; 0.96 \u00b1 0.03, RMSE &#061; 1.14 \u00b1 0.03, Q\u00b2 &#061; \u22120.07 \u00b1 0.05\u3002<\/p>\n<p>\u9884\u6d4b\u503c\u7cfb\u7edf\u6027\u4f4e\u4e8e\u5b9e\u9a8c\u503c\u7ea6 1 \u4e2a\u6570\u91cf\u7ea7\u2014\u2014\u4f5c\u8005\u5f52\u56e0\u4e8e Wang 2021 \u5b9e\u9a8c\u6761\u4ef6\u5bfc\u81f4\u7684 PAMPA \u503c\u6574\u4f53\u504f\u9ad8\u3002\u4f46 R&#061;0.76 \u8bf4\u660e\u6392\u5e8f\u80fd\u529b\u7a33\u5065&#xff0c;\u8fd9\u5bf9\u865a\u62df\u7b5b\u9009\u800c\u8a00\u662f\u6700\u91cd\u8981\u7684\u3002<\/p>\n<p>SHAP \u5206\u6790&#xff08;Figure 5&#xff09;\u663e\u793a\u5916\u90e8\u6d4b\u8bd5\u4e2dPS3D \u548c \u0394PS3D \u63cf\u8ff0\u7b26\u7684\u91cd\u8981\u6027\u663e\u8457\u4e0a\u5347\u2014\u2014\u5982\u819c\u4e2d\u7684\u6eb6\u89e3\u81ea\u7531\u80fd&#xff08;E_sol_mem&#xff09;\u3001\u819c\u4e2d\u5fc3\u80bd-\u6c34\u6c22\u952e\u6570&#xff08;out_hbond_mem&#xff09;\u3001\u8102-\u6c34\u63a5\u89e6\u6570\u5dee\u503c&#xff08;LW_contacts_mem \u2212 LW_contacts_wat&#xff09;\u5728\u5916\u90e8\u6d4b\u8bd5\u4e2d\u7684\u8d21\u732e\u8fdc\u5927\u4e8e\u5185\u90e8\u9a8c\u8bc1\u3002\u8fd9\u6b63\u662f&#034;3D \u63cf\u8ff0\u7b26\u7684\u6cdb\u5316\u4ef7\u503c\u5728\u8de8\u7cfb\u5217\u9884\u6d4b\u4e2d\u624d\u771f\u6b63\u4f53\u73b0&#034;\u3002<\/p>\n<hr \/>\n<h3>\u56db\u3001\u6700\u4e25\u5cfb\u7684\u8003\u9a8c\u2014\u2014\u7559\u4e00\u6570\u636e\u96c6 (Leave-One-Data-Set-Out)<\/h3>\n<p>\u8fd9\u624d\u662f\u8fd9\u7bc7\u8bba\u6587\u7684&#034;\u771f\u5200\u771f\u67aa&#034;\u5b9e\u9a8c\u3002\u6bcf\u6b21\u628a\u56db\u4e2a\u6570\u636e\u96c6\u4e2d\u5b8c\u6574\u7684\u4e00\u4e2a\u5f53\u6d4b\u8bd5\u96c6&#xff0c;\u7528\u5176\u4ed6\u4e09\u4e2a\u8bad\u7ec3\u3002\u8d85\u53c2\u7edf\u4e00\u7528 Table S17 \u7684\u6700\u4f18\u503c&#xff0c;\u4e0d\u505a\u9488\u5bf9\u6d4b\u8bd5\u96c6\u7684\u7279\u8c03\u3002<\/p>\n<h4>4.1 LODSO \u603b\u89c8<\/h4>\n<table>\n<tr>\u6d4b\u8bd5\u96c6\u6700\u4f73\u63cf\u8ff0\u7b26\u7ec4\u5408RMAERMSE2D-only \u7684 R<\/tr>\n<tbody>\n<tr>\n<td>Furukawa 2016<\/td>\n<td>2D &#043; PS3D<\/td>\n<td>0.80 \u00b1 0.05<\/td>\n<td>0.47 \u00b1 0.05<\/td>\n<td>0.60 \u00b1 0.05<\/td>\n<td>0.80<\/td>\n<\/tr>\n<tr>\n<td>Furukawa 2020<\/td>\n<td>2D &#043; PS3D<\/td>\n<td>0.60 \u00b1 0.18<\/td>\n<td>0.47 \u00b1 0.08<\/td>\n<td>0.58 \u00b1 0.07<\/td>\n<td>0.49<\/td>\n<\/tr>\n<tr>\n<td>Kelly 2021<\/td>\n<td>PS3D only<\/td>\n<td>0.59 \u00b1 0.07<\/td>\n<td>0.49 \u00b1 0.03<\/td>\n<td>0.58 \u00b1 0.03<\/td>\n<td>0.29<\/td>\n<\/tr>\n<tr>\n<td>Bhardwaj 2022<\/td>\n<td>2D &#043; PS3D<\/td>\n<td>0.60 \u00b1 0.07<\/td>\n<td>0.78 \u00b1 0.06<\/td>\n<td>0.96 \u00b1 0.07<\/td>\n<td>0.49<\/td>\n<\/tr>\n<tr>\n<td>\u5e73\u5747&#xff08;2D&#043;PS3D&#xff09;<\/td>\n<td><\/td>\n<td>0.61 \u00b1 0.12<\/td>\n<td>0.61 \u00b1 0.14<\/td>\n<td>0.74 \u00b1 0.17<\/td>\n<td>\u2014<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h4>4.2 Kelly 2021 \u6848\u4f8b\u2014\u2014\u6700\u53cd\u76f4\u89c9\u7684\u53d1\u73b0<\/h4>\n<p>\u8fd9\u56db\u4e2a\u6d4b\u8bd5\u96c6\u4e2d\u6700\u7cbe\u5f69\u7684\u662f Kelly 2021&#xff1a;<\/p>\n<ul>\n<li>\u7eaf 2D_\u63cf\u8ff0\u7b26&#xff1a;R &#061; 0.29\u2014\u2014\u8bad\u7ec3\u96c6&#xff08;Furukawa 2016\/2020 &#043; Bhardwaj 2022&#xff09;\u7684 SlogP-\u6e17\u900f\u7387\u5173\u7cfb\u5b8c\u5168\u4e0d\u9002\u7528\u4e8e Kelly 2021<\/li>\n<li>\u7eaf PS3D \u63cf\u8ff0\u7b26&#xff1a;R &#061; 0.59\u2014\u20143D \u6784\u8c61\u4fe1\u606f\u72ec\u7acb\u8d21\u732e\u4e86\u6e17\u900f\u7387\u9884\u6d4b\u80fd\u529b<\/li>\n<li>2D &#043; PS3D&#xff1a;R &#061; 0.47\u2014\u2014\u52a0\u4e86 2D \u53cd\u800c\u53d8\u5dee&#xff01; \u8bf4\u660e\u5f53\u80bd\u7684\u8bbe\u8ba1\u7406\u5ff5&#xff08;\u76f8\u540c\u7ec4\u6210\u3001\u4e0d\u540c\u5e8f\u5217&#xff09;\u4e0e\u8bad\u7ec3\u96c6\u5b8c\u5168\u4e0d\u540c\u65f6&#xff0c;2D \u63cf\u8ff0\u7b26\u7684&#034;\u7ecf\u9a8c\u89c4\u5219&#034;\u53cd\u800c\u6210\u4e86\u566a\u58f0<\/li>\n<\/ul>\n<p>Kelly 2021 \u4e2d SlogP \u4e0e\u6e17\u900f\u7387 R&#061;0.83&#xff0c;\u770b\u8d77\u6765&#034;\u5f88\u5bb9\u6613\u9884\u6d4b&#034;\u2014\u2014\u4f46\u90a3\u662f\u5728\u540c\u4e00\u6570\u636e\u96c6\u5185\u90e8\u7684\u7edf\u8ba1\u89c4\u5f8b\u3002\u8de8\u6570\u636e\u96c6\u540e&#xff0c;\u8fd9\u6761\u89c4\u5f8b\u4e0d\u6210\u7acb\u3002\u4f5c\u8005\u5c06\u6b64\u5f52\u56e0\u4e8e Kelly 2021 \u7684\u80bd\u8bbe\u8ba1\u539f\u5219&#xff08;\u56fa\u5b9a\u7ec4\u6210\u3001\u53d8\u5316\u5e8f\u5217&#xff09;\u5bfc\u81f4 2D \u63cf\u8ff0\u7b26\u4e0e\u8bad\u7ec3\u96c6\u8d8b\u52bf\u4e0d\u540c\u3002<\/p>\n<h4>4.3 Furukawa 2016\u2014\u2014\u552f\u4e00 2D \u591f\u7528\u7684\u7279\u4f8b<\/h4>\n<p>Furukawa 2016 \u7684\u80bd\u5171\u4eab\u540c\u4e00\u4e3b\u94fe\u9aa8\u67b6&#xff08;Library 1&#xff09;&#xff0c;\u53ea\u6709\u4fa7\u94fe\u53d8\u3002\u6b64\u65f6 2D \u63cf\u8ff0\u7b26\u9884\u6d4b R&#061;0.80&#xff0c;\u52a0 PS3D \u540e\u53cd\u800c\u7565\u964d\u2014\u2014\u8bf4\u660e\u5f53\u5316\u5b66\u9aa8\u67b6\u7edf\u4e00\u65f6&#xff0c;\u6784\u8c61\u4fe1\u606f\u662f\u5197\u4f59\u7684&#xff0c;\u751a\u81f3\u5f15\u5165\u566a\u58f0\u3002<\/p>\n<hr \/>\n<h3>\u4e94\u3001\u4e0e\u6df1\u5ea6\u5b66\u4e60\u65b9\u6cd5\u5bf9\u6bd4\u2014\u2014Table 8<\/h3>\n<table>\n<tr>\u65b9\u6cd5\u5e74\u4efdRMAERMSE\u6d4b\u8bd5\u65b9\u5f0f<\/tr>\n<tbody>\n<tr>\n<td>Multi_CycGT<\/td>\n<td>2024<\/td>\n<td>\u2014<\/td>\n<td>0.39<\/td>\n<td>0.52<\/td>\n<td>\u968f\u673a\u5212\u5206&#xff08;\u53ef\u80fd\u542b\u540c\u6587\u732e\u80bd&#xff09;<\/td>\n<\/tr>\n<tr>\n<td>PharmPapp<\/td>\n<td>2024<\/td>\n<td>\u2014<\/td>\n<td>0.32<\/td>\n<td>0.43<\/td>\n<td>\u968f\u673a\u5212\u5206<\/td>\n<\/tr>\n<tr>\n<td>CycPeptMP<\/td>\n<td>2024<\/td>\n<td>0.88<\/td>\n<td>0.36<\/td>\n<td>\u2014<\/td>\n<td>\u968f\u673a\u5212\u5206<\/td>\n<\/tr>\n<tr>\n<td>MultiCycPermea: ID<\/td>\n<td>2025<\/td>\n<td>0.85<\/td>\n<td>0.28<\/td>\n<td>\u2014<\/td>\n<td>\u968f\u673a\u5212\u5206&#xff08;in-distribution&#xff09;<\/td>\n<\/tr>\n<tr>\n<td>MultiCycPermea: OD<\/td>\n<td>2025<\/td>\n<td>0.48<\/td>\n<td>0.47<\/td>\n<td>\u2014<\/td>\n<td>Morgan \u6307\u7eb9\u53bb\u76f8\u4f3c&#xff08;out-of-distribution&#xff09;<\/td>\n<\/tr>\n<tr>\n<td>\u672c\u6587&#xff08;5 \u6298 CV&#xff09;<\/td>\n<td>2026<\/td>\n<td>0.77<\/td>\n<td>0.46<\/td>\n<td>0.62<\/td>\n<td>\u968f\u673a\u6df7\u5408 4 \u6570\u636e\u96c6<\/td>\n<\/tr>\n<tr>\n<td>\u672c\u6587&#xff08;LODSO \u5e73\u5747&#xff09;<\/td>\n<td>2026<\/td>\n<td>0.61<\/td>\n<td>0.61<\/td>\n<td>0.74<\/td>\n<td>\u5b8c\u6574\u7559\u4e00\u6570\u636e\u96c6\u2014\u2014\u6700\u4e25\u683c<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u4f5c\u8005\u6307\u51fa&#xff0c;MultiCycPermea:OD \u662f\u552f\u4e00\u5728\u4e25\u683c OOD \u8bbe\u5b9a\u4e0b\u6d4b\u8bd5\u7684\u65b9\u6cd5&#xff08;R&#061;0.48&#xff09;&#xff0c;\u7565\u4f4e\u4e8e\u672c\u6587\u7684 LODSO \u5e73\u5747 R&#061;0.61\u3002\u4f46\u8fd9\u5e76\u975e\u76f4\u63a5\u7684&#034;\u78be\u538b&#034;\u2014\u2014\u6d4b\u8bd5\u6570\u636e\u96be\u5ea6\u4e0d\u540c&#xff0c;\u4e0d\u53ef\u76f4\u63a5\u6bd4\u3002\u5173\u952e\u4fe1\u606f\u662f&#xff1a;\u968f\u673a\u5212\u5206\u7684 CV \u663e\u8457\u9ad8\u4f30\u4e86\u771f\u5b9e\u6cdb\u5316\u80fd\u529b\u3002<\/p>\n<hr \/>\n<h3>\u516d\u3001\u672c\u5730\u5b9e\u6218<\/h3>\n<h4>6.1 \u73af\u5883<\/h4>\n<p><span class=\"token function\">git<\/span> clone https:\/\/github.com\/akiyamalab\/MDML_PeptPerm.git<br \/>\n<span class=\"token builtin class-name\">cd<\/span> MDML_PeptPerm<\/p>\n<p><span class=\"token comment\"># \u5b98\u65b9\u73af\u5883&#xff08;Python 3.9.6&#xff09;<\/span><br \/>\nmamba <span class=\"token function\">env<\/span> create <span class=\"token parameter variable\">-f<\/span> environment.yml<br \/>\nmamba activate MDMLpept<\/p>\n<p><span class=\"token comment\"># \u5982\u679c\u5df2\u6709 Python 3.10&#043; \u73af\u5883&#xff0c;\u76f4\u63a5\u7528 pip \u4e5f\u517c\u5bb9<\/span><br \/>\npip <span class=\"token function\">install<\/span> xgboost scikit-learn rdkit openpyxl lightgbm shap<\/p>\n<p>\u8bba\u6587\u5b9e\u9645\u4f7f\u7528\u7684\u8f6f\u4ef6\u6808&#xff1a;<\/p>\n<ul>\n<li>MD \u5f15\u64ce&#xff1a;AMBER 20 &#043; AMBER 22&#xff08;pmemd.cuda&#xff09;<\/li>\n<li>\u80bd\u53c2\u6570\u5316&#xff1a;MOE 2019.01 \/ 2022.02&#xff0c;Amber10:EHT \u529b\u573a<\/li>\n<li>\u819c\/\u6c34&#xff1a;Lipid17 &#043; TIP3P<\/li>\n<li>ML&#xff1a;Python 3.9.6 &#043; pandas 2.1.1 &#043; scikit-learn 1.4.2 &#043; xgboost 2.0.3 &#043; lightgbm 4.5.0 &#043; shap 0.48.0<\/li>\n<\/ul>\n<h4>6.2 \u6570\u636e\u4e00\u89c8<\/h4>\n<p><span class=\"token keyword\">import<\/span> pandas <span class=\"token keyword\">as<\/span> pd<br \/>\ny <span class=\"token operator\">&#061;<\/span> pd<span class=\"token punctuation\">.<\/span>read_csv<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#039;data\/y.csv&#039;<\/span><span class=\"token punctuation\">)<\/span><br \/>\n<span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span>y<span class=\"token punctuation\">[<\/span><span class=\"token string\">&#039;Set&#039;<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">.<\/span>value_counts<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><br \/>\n<span class=\"token comment\"># Kelly2021        86<\/span><br \/>\n<span class=\"token comment\"># Bhardwaj2022     85<\/span><br \/>\n<span class=\"token comment\"># Furukawa2016     67<\/span><br \/>\n<span class=\"token comment\"># Wang2021         24   \u2190 \u4ec5\u7528\u4e8e\u5916\u90e8\u6d4b\u8bd5<\/span><br \/>\n<span class=\"token comment\"># Furukawa2020     18<\/span><\/p>\n<p>desc <span class=\"token operator\">&#061;<\/span> pd<span class=\"token punctuation\">.<\/span>read_csv<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#039;data\/descriptors.csv&#039;<\/span><span class=\"token punctuation\">)<\/span><br \/>\n<span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span>desc<span class=\"token punctuation\">.<\/span>shape<span class=\"token punctuation\">)<\/span>  <span class=\"token comment\"># (280, 735) \u2014 280 \u80bd \u00d7 734 \u63cf\u8ff0\u7b26 &#043; ID \u5217<\/span><\/p>\n<p>\u6ce8\u610f\u603b\u6570 280 &#061; 252&#xff08;\u8bad\u7ec3\/\u9a8c\u8bc1&#xff09;&#043; 24&#xff08;Wang 2021 \u5916\u90e8\u6d4b\u8bd5&#xff09;&#043; 4&#xff08;\u989d\u5916\u7684&#xff1f;\u5b9e\u9645\u8bba\u6587 252&#043;24&#061;276&#xff0c;y.csv \u6709 280 \u884c\u53ef\u80fd\u662f\u5305\u542b\u4e86\u5c11\u91cf\u91cd\u590d\u6216\u5176\u4ed6\u6570\u636e&#xff09;\u3002<\/p>\n<h4>6.3 \u8bad\u7ec3<\/h4>\n<p>jupyter notebook main.ipynb<\/p>\n<p>main.ipynb \u6d41\u7a0b&#xff1a;\u52a0\u8f7d\u6570\u636e \u2192 \u76f8\u5173\u6027\u53bb\u5197\u4f59&#xff08;threshold&#061;0.6&#xff09;\u2192 \u516d\u79cd\u6a21\u578b\u7f51\u683c\u641c\u7d22 \u2192 5 \u6298 CV \u2192 \u7279\u5f81\u91cd\u8981\u6027 \u2192 PCA \u53ef\u89c6\u5316\u3002<\/p>\n<h4>6.4 \u5916\u90e8\u6d4b\u8bd5<\/h4>\n<p>jupyter notebook ex_test.ipynb<\/p>\n<p>\u4f7f\u7528 Wang 2021 \u7684 24 \u4e2a\u80bd\u505a\u72ec\u7acb\u9884\u6d4b\u3002\u9884\u8bad\u7ec3\u7684\u6700\u4f18\u8d85\u53c2\u5728 weight\/XGBoost_search_results.csv\u3002<\/p>\n<hr \/>\n<h3>\u4e03\u3001\u5c40\u9650\u4e0e\u6ce8\u610f\u4e8b\u9879&#xff08;\u6765\u81ea\u8bba\u6587\u539f\u6587\u7684\u8bda\u5b9e\u8ba8\u8bba&#xff09;<\/h3>\n<table>\n<tr>\u5c40\u9650\u539f\u6587\u8bf4\u660e<\/tr>\n<tbody>\n<tr>\n<td>\u5316\u5b66\u7a7a\u95f4\u504f\u7a84<\/td>\n<td>\u8bad\u7ec3\u96c6\u4ee5 6-10 \u6b8b\u57fa\u3001AlogP &lt; 4\u3001\u4e2d\u6027\u80bd\u4e3a\u4e3b\u3002\u5e26\u7535\u80bd\u3001\u66f4\u957f\u80bd\u7684\u9884\u6d4b\u9700\u8981 caution<\/td>\n<\/tr>\n<tr>\n<td>MD \u63cf\u8ff0\u7b26\u6210\u672c\u6781\u9ad8<\/td>\n<td>~140 GPU h\/\u80bd&#xff08;H100&#xff09;&#xff0c;\u5168\u91cf ~38,640 GPU h\u3002GitHub \u53ea\u63d0\u4f9b\u63cf\u8ff0\u7b26 CSV&#xff0c;\u4e0d\u63d0\u4f9b\u539f\u59cb\u8f68\u8ff9<\/td>\n<\/tr>\n<tr>\n<td>\u529b\u573a\u975e\u5b8c\u5168\u5f00\u6e90<\/td>\n<td>MOE Amber10:EHT \u662f\u5546\u4e1a\u8f6f\u4ef6\u5185\u5d4c\u65b9\u6848&#xff0c;GAFF\/GAFF2 \u7528\u6237\u4e0d\u80fd\u76f4\u63a5\u590d\u7528 MD \u534f\u8bae<\/td>\n<\/tr>\n<tr>\n<td>\u0394PS3D \u5f15\u5165\u7edf\u8ba1\u566a\u58f0<\/td>\n<td>\u8102\u8d28\u819c\u52bf\u80fd\u6ce2\u52a8\u5927 \u2192 \u0394PS3D&#xff08;\u4f4d\u7f6e\u95f4\u5dee\u503c&#xff09;\u7684\u4fe1\u566a\u6bd4\u4f4e&#xff0c;\u53cd\u800c\u964d\u4f4e\u9884\u6d4b\u7cbe\u5ea6<\/td>\n<\/tr>\n<tr>\n<td>\u5b9e\u9a8c\u503c\u7684\u6279\u6b21\u6548\u5e94<\/td>\n<td>\u4e0d\u540c\u5b9e\u9a8c\u5ba4 PAMPA \u7684\u68c0\u6d4b\u4e0b\u9650\u76f8\u5dee &gt; 1 \u4e2a\u6570\u91cf\u7ea7&#xff0c;CycPeptMPDB \u4e2d\u540c\u4e00\u80bd\u540c\u65b9\u6cd5\u7684\u6d4b\u91cf\u503c\u53ef\u5dee &gt; 1 log \u5355\u4f4d\u2014\u2014\u9650\u5236\u4e86 ML \u6a21\u578b\u7cbe\u5ea6\u7684\u5929\u7136\u5929\u82b1\u677f<\/td>\n<\/tr>\n<tr>\n<td>PAMPA \u2260 \u7ec6\u80de\u819c<\/td>\n<td>\u6a21\u578b\u53ea\u9884\u6d4b PAMPA \u8868\u89c2\u6e17\u900f\u7387&#xff0c;\u4e0d\u542b\u5916\u6392\u8f6c\u8fd0\u4f53\u3001\u4e3b\u52a8\u6444\u53d6\u7b49\u7ec6\u80de\u673a\u5236<\/td>\n<\/tr>\n<tr>\n<td>2D&#043;PS3D \u5e73\u5747\u624d R&#061;0.61<\/td>\n<td>\u5728\u4e25\u683c\u7684 LODSO \u8bbe\u5b9a\u4e0b&#xff0c;\u9884\u6d4b\u7cbe\u5ea6\u53ea\u80fd\u8bf4&#034;\u4e2d\u7b49&#034;\u3002SAR \u573a\u666f\u4e0b\u533a\u5206 -5.0 \u548c -5.5 \u4e0d\u53ef\u9760<\/td>\n<\/tr>\n<tr>\n<td>PS3D \u5bf9\u67d0\u4e9b\u6570\u636e\u96c6\u53cd\u964d\u7cbe\u5ea6<\/td>\n<td>Furukawa 2016&#xff08;\u4e3b\u94fe\u56fa\u5b9a&#xff09;\u4e2d&#xff0c;\u52a0 PS3D \u540e R \u4ece 0.80 \u964d\u5230 0.74\u2014\u2014\u6784\u8c61\u591a\u6837\u6027\u6210\u4e86\u566a\u58f0<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<hr \/>\n<h3>\u516b\u3001\u8fd9\u4e2a\u5de5\u4f5c\u7684\u771f\u6b63\u610f\u4e49\u2014\u2014&#034;\u84b8\u998f MD \u667a\u80fd&#034;\u7684\u601d\u8def<\/h3>\n<p>\u8fd9\u7bc7\u8bba\u6587\u4e0d\u662f&#034;\u4e00\u4e2a\u66f4\u5f3a\u7684\u9884\u6d4b\u6a21\u578b&#034;\u8fd9\u4e48\u7b80\u5355\u3002\u5b83\u7684\u6838\u5fc3\u8d21\u732e\u5728\u4e8e\u63d0\u4f9b\u4e86\u4e00\u79cd\u8303\u5f0f&#xff1a;<\/p>\n<li>\u7528\u6602\u8d35\u7684\u589e\u5f3a\u91c7\u6837 MD \u505a\u4e00\u6b21\u6027\u77e5\u8bc6\u63d0\u53d6&#xff08;\u63cf\u8ff0\u7b26\u751f\u6210&#xff09;&#xff0c;\u800c\u4e0d\u662f\u5bf9\u6bcf\u4e2a\u65b0\u80bd\u8dd1 PMF<\/li>\n<li>PS3D \u63cf\u8ff0\u7b26\u5728\u8de8\u7cfb\u5217\u9884\u6d4b\u4e2d\u8865\u4e0a\u4e86 2D \u63cf\u8ff0\u7b26\u7684\u76f2\u533a\u2014\u2014\u5c24\u5176\u662f\u5728\u80bd\u7684\u8bbe\u8ba1\u7406\u5ff5\u4e0e\u8bad\u7ec3\u6570\u636e\u4e0d\u540c\u65f6&#xff08;Kelly 2021 \u4ece R&#061;0.29 \u62c9\u5230 R&#061;0.59&#xff09;<\/li>\n<li>\u4e25\u683c\u8bc1\u660e\u4e86\u6df7\u5408\u968f\u673a CV \u4f1a\u9ad8\u4f30\u6cdb\u5316\u80fd\u529b\u2014\u2014LODSO \u624d\u662f\u8bda\u5b9e\u8bc4\u4f30<\/li>\n<li>\u5168\u6570\u636e&#043;\u4ee3\u7801\u5f00\u6e90\u2014\u2014\u867d\u7136\u539f\u59cb\u8f68\u8ff9\u592a\u5927\u653e\u4e0d\u4e0b&#xff08;53 TB&#xff09;&#xff0c;\u4f46\u6240\u6709\u63cf\u8ff0\u7b26 CSV \u548c\u5206\u6790 notebook \u90fd\u5728 GitHub<\/li>\n<p>\u5bf9\u4e8e\u505a\u73af\u80bd\u836f\u7269\u53d1\u73b0\u7684\u56e2\u961f&#xff0c;\u8fd9\u4e2a\u5de5\u5177\u7684&#034;\u751c\u533a&#034;\u662f&#xff1a;\u4f60\u624b\u5934\u6709\u4e00\u6279\u73af\u80bd hit&#xff0c;\u60f3\u4f18\u5148\u5408\u6210\u90a3\u4e9b\u65e2\u53ef\u80fd\u6d3b\u53c8\u53ef\u80fd\u7a7f\u819c\u7684\u3002\u540c\u65f6\u4f60\u9700\u8981\u63a5\u53d7\u4e00\u4e2a\u524d\u63d0\u2014\u2014MD \u63cf\u8ff0\u7b26\u7684\u5236\u4f5c\u6781\u5176\u6602\u8d35&#xff08;140 GPU h\/\u80bd&#xff09;&#xff0c;\u4f46\u4e00\u65e6\u8bad\u597d\u6a21\u578b&#xff0c;\u9884\u6d4b\u662f\u77ac\u95f4\u7684\u3002<\/p>\n<p>\u4f5c\u8005\u5728\u8bba\u6587\u672b\u5c3e\u63d0\u51fa\u4e86\u4e00\u4e2a\u5f88\u6709\u91ce\u5fc3\u7684\u613f\u666f&#xff1a;\u628a\u73af\u80bd\u819c\u6e17\u900f\u7387\u9884\u6d4b\u7684\u8ba1\u7b97\u6210\u672c\u964d\u4f4e\u5230 FEP \u8ba1\u7b97\u7684\u6c34\u5e73\u2014\u2014\u8ba9\u5236\u836f\u516c\u53f8\u80fd\u5e38\u89c4\u5730\u5bf9\u6570\u5341\u4e0a\u767e\u4e2a\u73af\u80bd\u505a\u819c\u6e17\u900f\u7387\u8bc4\u4f30\u3002\u867d\u7136\u76ee\u524d&#034;\u8bad\u4e00\u6b21\u9700 3.8 \u4e07 GPU \u5c0f\u65f6&#034;\u79bb\u8fd9\u4e2a\u76ee\u6807\u8fd8\u6709\u8ddd\u79bb&#xff0c;\u4f46\u65b9\u5411\u6e05\u6670\u3002<\/p>\n<hr \/>\n<hr \/>\n<p>\u6570\u636e\u6765\u6e90&#xff1a;ACS Omega 2026, 11(27): 40628\u201340644 \u5168\u6587 &#043; 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