{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,26]],"date-time":"2026-03-26T15:43:21Z","timestamp":1774539801653,"version":"3.50.1"},"reference-count":40,"publisher":"Oxford University Press (OUP)","issue":"7","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016,4,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Motivation: Identifying drug\u2013target protein interaction is a crucial step in the process of drug research and development. Wet-lab experiment are laborious, time-consuming and expensive. Hence, there is a strong demand for the development of a novel theoretical method to identify potential interaction between drug and target protein.<\/jats:p>\n               <jats:p>Results: We use all known proteins and drugs to construct a nodes- and edges-weighted biological relevant interactome network. On the basis of the \u2018guilt-by-association\u2019 principle, novel network topology features are proposed to characterize interaction pairs and random forest algorithm is employed to identify potential drug\u2013protein interaction. Accuracy of 92.53% derived from the 10-fold cross-validation is about 10% higher than that of the existing method. We identify 2272 potential drug\u2013target interactions, some of which are associated with diseases, such as Torg-Winchester syndrome and rhabdomyosarcoma. The proposed method can not only accurately predict the interaction between drug molecule and target protein, but also help disease treatment and drug discovery.<\/jats:p>\n               <jats:p>Contacts: \u00a0zhanchao8052@gmail.com or ceszxy@mail.sysu.edu.cn<\/jats:p>\n               <jats:p>Supplementary information: \u00a0Supplementary data are available at Bioinformatics online.<\/jats:p>","DOI":"10.1093\/bioinformatics\/btv695","type":"journal-article","created":{"date-parts":[[2015,11,28]],"date-time":"2015-11-28T01:48:27Z","timestamp":1448675307000},"page":"1057-1064","source":"Crossref","is-referenced-by-count":63,"title":["Identification of drug\u2013target interaction from interactome network with \u2018guilt-by-association\u2019 principle and topology features"],"prefix":"10.1093","volume":"32","author":[{"given":"Zhan-Chao","family":"Li","sequence":"first","affiliation":[{"name":"1 School of Chemistry and Chemical Engineering, Guangdong Pharmaceutical University, Guangzhou 510006, People\u2019s Republic of China,"}]},{"given":"Meng-Hua","family":"Huang","sequence":"additional","affiliation":[{"name":"1 School of Chemistry and Chemical Engineering, Guangdong Pharmaceutical University, Guangzhou 510006, People\u2019s Republic of China,"}]},{"given":"Wen-Qian","family":"Zhong","sequence":"additional","affiliation":[{"name":"1 School of Chemistry and Chemical Engineering, Guangdong Pharmaceutical University, Guangzhou 510006, People\u2019s Republic of China,"}]},{"given":"Zhi-Qing","family":"Liu","sequence":"additional","affiliation":[{"name":"1 School of Chemistry and Chemical Engineering, Guangdong Pharmaceutical University, Guangzhou 510006, People\u2019s Republic of China,"}]},{"given":"Yun","family":"Xie","sequence":"additional","affiliation":[{"name":"1 School of Chemistry and Chemical Engineering, Guangdong Pharmaceutical University, Guangzhou 510006, People\u2019s Republic of China,"}]},{"given":"Zong","family":"Dai","sequence":"additional","affiliation":[{"name":"3 School of Chemistry and Chemical Engineering, Sun Yat-Sen University, Guangzhou 510275, People\u2019s Republic of China"}]},{"given":"Xiao-Yong","family":"Zou","sequence":"additional","affiliation":[{"name":"2 SYSU-CMU Shunde International Joint Research Institute, Shunde 528300, People\u2019s Republic of China and"},{"name":"3 School of Chemistry and Chemical Engineering, Sun Yat-Sen University, Guangzhou 510275, People\u2019s Republic of China"}]}],"member":"286","published-online":{"date-parts":[[2015,11,26]]},"reference":[{"key":"2023020111571458400_btv695-B1","doi-asserted-by":"crossref","first-page":"2004","DOI":"10.1093\/bioinformatics\/btt307","article-title":"Drug\u2013target interaction prediction through domain-tuned network-based inference","volume":"29","author":"Alaimo","year":"2013","journal-title":"Bioinformatics"},{"key":"2023020111571458400_btv695-B2","doi-asserted-by":"crossref","first-page":"11014","DOI":"10.1073\/pnas.0704002104","article-title":"Roles of DNA topoisomerase II isozymes in chemotherapy and secondary malignancies","volume":"104","author":"Azarova","year":"2007","journal-title":"Proc. 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