{"id":148,"date":"2017-03-28T14:24:43","date_gmt":"2017-03-28T12:24:43","guid":{"rendered":"http:\/\/dunant.dista.uninsubria.it\/qsar\/?page_id=148"},"modified":"2017-04-03T16:56:04","modified_gmt":"2017-04-03T14:56:04","slug":"other","status":"publish","type":"page","link":"https:\/\/dunant.dista.uninsubria.it\/qsar\/?page_id=148","title":{"rendered":"Others"},"content":{"rendered":"<p><strong>Collaboration with researchers in Lanzhou University (China)<\/strong><\/p>\n<p>Publications of P. Gramatica with proff. Huanxiang Liu and Jiazhong Li of the School of Pharmacy and Prof. Xiaojun Yao of the Department of Chemistry:<\/p>\n<p>Wang, Yuwei. Han, Rui Zhang, Huimin, Liu, Hongli, Li, Jiazhong, Liu, Huanxiang, Gramatica, Paola; Combined Ligand\/Structure-Based Virtual Screening and Molecular Dynamics Simulations of Steroidal Androgen Receptor Antagonists , <em>Biomed Res. Int.<\/em> , <strong>2017<\/strong>, 1-18. DOI: 10.1155\/2017\/3572394<\/p>\n<p>Jiazhong Li, Fang Bai, Huanxiang Liu, Paola Gramatica;Ligand Efficiency Outperforms pIC<sub>50<\/sub> both on 2D MLR and 3D CoMFA Models \u2013 A Case Study on AR Antagonists, <em>Chemical Biology &amp; Drug Design, <\/em><strong>2015,<\/strong> 86, 1501-1517. DOI:\u00a010.1111\/cbdd.12619<\/p>\n<p>Yuwei Wang \u00b7 Fang Bai \u00b7 Hong Cao \u00b7 Jiazhong Li \u00b7 Huanxiang Liu \u00b7 Paola Gramatica; A Combined Quantitative Structure-Activity Relationship Research of Quinolinone Derivatives as Androgen Receptor Antagonists<em>, Comb. Chem.&amp; HTS,<\/em> <strong>2015;<\/strong> 18(9), 834-845. DOI:10.2174\/1386207318666150831125750<\/p>\n<p>Shao, Y., Liu, J., Wang, M., Shi, L., Yao, X., Gramatica, P.;Integrated QSPR models to predict the soil sorption coefficient for a large diverse set of compounds by using different modeling methods, <em>Atmospheric Environment, <\/em><strong>2014<\/strong>, 88, 212-218. DOI:10.1016\/j.atmosenv.2013.12.018.<\/p>\n<p>JZ Li, JJ He, BL Lei, HX Liu, P Gramatica; The influence of molecular lowest-energy conformation on the quality of the subsequent quantitative structure-activity relationship models, <em>J. Comput. Sci. &amp; Engin.<\/em>\u00a0 <strong>2013<\/strong>, 9, 326-355.<\/p>\n<p>Li, J, Li, S. ; Bai, C.; <a href=\"http:\/\/apps.webofknowledge.com\/OneClickSearch.do?product=UA&amp;search_mode=OneClickSearch&amp;excludeEventConfig=ExcludeIfFromFullRecPage&amp;SID=Z2PzYzdooU6JNK22T7Q&amp;field=AU&amp;value=Liu,%20HX\">Liu, HX<\/a>; <a href=\"http:\/\/apps.webofknowledge.com\/OneClickSearch.do?product=UA&amp;search_mode=OneClickSearch&amp;excludeEventConfig=ExcludeIfFromFullRecPage&amp;SID=Z2PzYzdooU6JNK22T7Q&amp;field=AU&amp;value=Gramatica,%20P\">Gramatica, P<\/a>; Structural requirements of 3-carboxyl-4(1H)-quinolones as potential antimalarials from 2D and 3D QSAR analysis, <em>J. Mol. Graph Mod<\/em>. , <strong>2013<\/strong> , 44 , 266-277 DOI: 10.1016\/j.jmgm.2013.07.004<\/p>\n<p>Jiazhong Li, Huanxiang Liu, Xin Huo, Paola Gramatica; Structure-Activity Relationship Analysis of the Thermal Stabilities of Nitroaromatic Compounds Following Different Decomposition Mechanisms, <em>Mol. Inf.<\/em>\u00a0<strong> 2013<\/strong>, (32), 193-202. DOI: 10.1002\/minf.201200089<\/p>\n<p>Huo, Xing<strong><u><sup>, <\/sup><\/u><\/strong>Li, Jiazhong<strong><u><sup>, <\/sup><\/u><\/strong>Gramatica, Paola; Quantitative structure-activity relationship analysis of a novel series of chemicals antagonizing WT and MT AR ,<em>Chemom. Int.Lab. Sys.,<\/em> <strong>2011,<\/strong> 107, 283-289. DOI: 10.1016\/j.chemolab.2011.04.013<\/p>\n<p>Lili Xi, Jiazhong Li, Huanxiang Liu, Xiaojun Yao, Paola Gramatica; Prediction of Infinite-dilution activity coefficients of organic solutes in Ionic Liquids Using Temperature-dependent Quantitative Structure-Property Relationship method, <em>Chem. Engineering J.<\/em>, <strong>2010,<\/strong> 163, 195-201.\u00a0 DOI:10.1016\/j.cej.2010.07.023<\/p>\n<p>Beilei Lei, Yimeng Ma, Jiazhong Li, Huanxiang Liu, Xiaojun Yao, Paola Gramatica; Prediction of the adsorption capability onto activated carbon of a large data set of chemicals by local lazy regression method, \u00a0<em>Atmospheric Environ<\/em>, <strong>2010<\/strong>, 44, 2954-2960. DOI: 10.1016\/j.atmosenv.2010.05.021<\/p>\n<p>Jiazhong Li, Shuyan Li, Beilei Lei, Huanxiang Liu, Xiaojun Yao, Mancang Liu, Paola Gramatica; A new strategy to improve the predictive ability of the local lazy regression and its application to the QSAR study of melanin-concentrating hormone receptor 1 antagonists <em>J. Comput. Chem.<\/em>\u00a0<strong>2010<\/strong>, 31( 5), 973-985, , DOI 10.1002\/jcc.21383<\/p>\n<p>Liu, X. Yao and P. Gramatica*; The Applications of Machine Learning Algorithms in the Modeling of Estrogen-like Chemicals <em>Comb. Chem. &amp; H. T S..(<\/em>special issue on &#8220;Machine learning for virtual screening&#8221;) <strong>2009<\/strong>, 12 (5) 490-496.<\/p>\n<p>Jiazhong Li, Beilei Lei, Huanxiang Liu, Shuyan Li, Xiaojun Yao, Mancang Liu, Paola Gramatica; QSAR Study of Malonyl-CoA Decarboxylase Inhibitors Using GA-MLR and A New Strategy of Consensus Modeling, <em>J. Comput. Chem.,<\/em><strong>2008,<\/strong><em> 29, <\/em>2636-2647. DOI 10.1002\/jcc.21002<\/p>\n<p><strong>Collaboration with Milano Chemometrics and QSAR Research Group of Milano Bicocca University<\/strong><\/p>\n<p align=\"justify\">Gramatica collaborated intensively in the period 1994-2000 and then irregularly till 2002 with Milano Chemometrics and QSAR Research Group of Milano Bicocca University (Prof. Todeschini, Dr. Consonni, Dr. Pavan PhD with an Insubria Fellowship under the European BEAM project) in several applications of molecular descriptors (mainly WHIM) to QSAR modelling of properties\/activities of organic pollutants of environmental concern, publishing more than 25 joint papers.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Collaboration with researchers in Lanzhou University (China) Publications of P. Gramatica with proff. Huanxiang Liu and Jiazhong Li of the School of Pharmacy and Prof. Xiaojun Yao of the Department of Chemistry: Wang, Yuwei. Han, Rui Zhang, Huimin, Liu, Hongli, Li, Jiazhong, Liu, Huanxiang, Gramatica, Paola; Combined Ligand\/Structure-Based Virtual Screening and Molecular Dynamics Simulations of &hellip; <a href=\"https:\/\/dunant.dista.uninsubria.it\/qsar\/?page_id=148\" class=\"more-link\">Continua a leggere <span class=\"screen-reader-text\">Others<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-148","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/dunant.dista.uninsubria.it\/qsar\/index.php?rest_route=\/wp\/v2\/pages\/148","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/dunant.dista.uninsubria.it\/qsar\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/dunant.dista.uninsubria.it\/qsar\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/dunant.dista.uninsubria.it\/qsar\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/dunant.dista.uninsubria.it\/qsar\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=148"}],"version-history":[{"count":4,"href":"https:\/\/dunant.dista.uninsubria.it\/qsar\/index.php?rest_route=\/wp\/v2\/pages\/148\/revisions"}],"predecessor-version":[{"id":385,"href":"https:\/\/dunant.dista.uninsubria.it\/qsar\/index.php?rest_route=\/wp\/v2\/pages\/148\/revisions\/385"}],"wp:attachment":[{"href":"https:\/\/dunant.dista.uninsubria.it\/qsar\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=148"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}