{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T14:41:25Z","timestamp":1742913685398,"version":"3.40.3"},"publisher-location":"Cham","reference-count":21,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319930336"},{"type":"electronic","value":"9783319930343"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-319-93034-3_28","type":"book-chapter","created":{"date-parts":[[2018,6,18]],"date-time":"2018-06-18T11:30:29Z","timestamp":1529321429000},"page":"348-360","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Neighborhood Constraint Matrix Completion for Drug-Target Interaction Prediction"],"prefix":"10.1007","author":[{"given":"Xin","family":"Fan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuxiang","family":"Hong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaohu","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yaogong","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Maoqiang","family":"Xie","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,6,19]]},"reference":[{"issue":"18","key":"28_CR1","doi-asserted-by":"publisher","first-page":"2397","DOI":"10.1093\/bioinformatics\/btp433","volume":"25","author":"K Bleakley","year":"2009","unstructured":"Bleakley, K., Yamanishi, Y.: Supervised prediction of drug-target interactions using bipartite local models. Bioinformatics 25(18), 2397\u20132403 (2009)","journal-title":"Bioinformatics"},{"issue":"6","key":"28_CR2","doi-asserted-by":"publisher","first-page":"925","DOI":"10.1109\/JPROC.2009.2035722","volume":"98","author":"EJ Candes","year":"2009","unstructured":"Candes, E.J., Plan, Y.: Matrix completion with noise. Proc. IEEE 98(6), 925\u2013936 (2009)","journal-title":"Proc. IEEE"},{"issue":"1","key":"28_CR3","doi-asserted-by":"publisher","first-page":"71","DOI":"10.1038\/nbt1273","volume":"25","author":"AC Cheng","year":"2007","unstructured":"Cheng, A.C., Coleman, R.G., Smyth, K.T., et al.: Structure-based maximal affinity model predicts small-molecule druggability. Nat. Biotechnol. 25(1), 71\u201375 (2007)","journal-title":"Nat. Biotechnol."},{"issue":"12","key":"28_CR4","doi-asserted-by":"publisher","first-page":"3399","DOI":"10.1021\/ci400219z","volume":"53","author":"MC Cobanoglu","year":"2013","unstructured":"Cobanoglu, M.C., Liu, C., Hu, F., et al.: Predicting drug-target interactions using probabilistic matrix factorization. J. Chem. Inf. Model. 53(12), 3399\u20133409 (2013)","journal-title":"J. Chem. Inf. Model."},{"key":"28_CR5","doi-asserted-by":"crossref","unstructured":"Davis, J., Goadrich, M.: The relationship between Precision-Recall and ROC curves. In: ICML 2006, pp. 233\u2013240. ACM Press (2006)","DOI":"10.1145\/1143844.1143874"},{"issue":"3","key":"28_CR6","doi-asserted-by":"publisher","first-page":"646","DOI":"10.1109\/TCBB.2016.2530062","volume":"14","author":"A Ezzat","year":"2017","unstructured":"Ezzat, A., Zhao, P., Wu, M., et al.: Drug-target interaction prediction with graph regularized matrix factorization. IEEE\/ACM Trans. Comput. Biol. Bioinf. 14(3), 646\u2013656 (2017)","journal-title":"IEEE\/ACM Trans. Comput. Biol. Bioinf."},{"issue":"18","key":"28_CR7","doi-asserted-by":"publisher","first-page":"2304","DOI":"10.1093\/bioinformatics\/bts360","volume":"28","author":"M Gonen","year":"2012","unstructured":"Gonen, M.: Predicting drug-target interactions from chemical and genomic kernels using Bayesian matrix factorization. Bioinformatics 28(18), 2304\u20132310 (2012)","journal-title":"Bioinformatics"},{"issue":"19","key":"28_CR8","doi-asserted-by":"publisher","first-page":"2149","DOI":"10.1093\/bioinformatics\/btn409","volume":"24","author":"L Jacob","year":"2008","unstructured":"Jacob, L., Vert, J.P.: Protein-ligand interaction prediction: an improved chemogenomics approach. Bioinformatics 24(19), 2149\u20132156 (2008)","journal-title":"Bioinformatics"},{"key":"28_CR9","doi-asserted-by":"crossref","unstructured":"Ji, S., Ye, J.: An accelerated gradient method for trace norm minimization. In: ICML 2009, pp. 1\u20138. ACM Press (2009)","DOI":"10.1145\/1553374.1553434"},{"issue":"Suppl. 1","key":"28_CR10","doi-asserted-by":"publisher","first-page":"D354","DOI":"10.1093\/nar\/gkj102","volume":"34","author":"M Kanehisa","year":"2006","unstructured":"Kanehisa, M., Goto, S., Hattori, M., et al.: From genomics to chemical genomics: new developments in KEGG. Nucleic Acids Res. 34(Suppl. 1), D354\u2013D357 (2006)","journal-title":"Nucleic Acids Res."},{"issue":"2","key":"28_CR11","doi-asserted-by":"publisher","first-page":"197","DOI":"10.1038\/nbt1284","volume":"25","author":"MJ Keiser","year":"2007","unstructured":"Keiser, M.J., Roth, B.L., Armbruster, B.N., et al.: Relating protein pharmacology by ligand chemistry. Nat. Biotechnol. 25(2), 197\u2013206 (2007)","journal-title":"Nat. Biotechnol."},{"issue":"21","key":"28_CR12","doi-asserted-by":"publisher","first-page":"3036","DOI":"10.1093\/bioinformatics\/btr500","volume":"27","author":"TV Laarhoven","year":"2011","unstructured":"Laarhoven, T.V., Nabuurs, S.B., Marchiori, E.: Gaussian interaction profile kernels for predicting drug-target interaction. Bioinformatics 27(21), 3036\u20133043 (2011)","journal-title":"Bioinformatics"},{"key":"28_CR13","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"591","DOI":"10.1007\/978-3-319-31753-3_47","volume-title":"Advances in Knowledge Discovery and Data Mining","author":"Q Liao","year":"2016","unstructured":"Liao, Q., Guan, N., Wu, C., Zhang, Q.: Predicting unknown interactions between known drugs and targets via matrix completion. In: Bailey, J., Khan, L., Washio, T., Dobbie, G., Huang, J.Z., Wang, R. (eds.) PAKDD 2016. LNCS (LNAI), vol. 9651, pp. 591\u2013604. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-31753-3_47"},{"issue":"15","key":"28_CR14","doi-asserted-by":"publisher","first-page":"2004","DOI":"10.1093\/bioinformatics\/btm266","volume":"23","author":"N Nagamine","year":"2007","unstructured":"Nagamine, N., Sakakibara, Y.: Statistical prediction of protein-chemical interactions based on chemical structure and mass spectrometry data. Bioinformatics 23(15), 2004\u20132012 (2007)","journal-title":"Bioinformatics"},{"issue":"12","key":"28_CR15","doi-asserted-by":"publisher","first-page":"i60","DOI":"10.1093\/bioinformatics\/btu269","volume":"30","author":"N Natarajan","year":"2014","unstructured":"Natarajan, N., Dhillon, I.S.: Inductive matrix completion for predicting gene-disease associations. Bioinformatics 30(12), i60\u2013i68 (2014)","journal-title":"Bioinformatics"},{"issue":"5","key":"28_CR16","doi-asserted-by":"publisher","first-page":"267","DOI":"10.1016\/j.tips.2013.03.004","volume":"34","author":"N Novac","year":"2013","unstructured":"Novac, N.: Challenges and opportunities of drug repositioning. Trends Pharmacol. Sci. 34(5), 267\u2013272 (2013)","journal-title":"Trends Pharmacol. Sci."},{"issue":"D1","key":"28_CR17","doi-asserted-by":"publisher","first-page":"D13","DOI":"10.1093\/nar\/gkr1184","volume":"40","author":"DL Wheeler","year":"2012","unstructured":"Wheeler, D.L., Church, D.M., Lash, A.E., et al.: Database resources of the National Center for Biotechnology Information. Nucleic Acids Res. 40(D1), D13\u2013D25 (2012)","journal-title":"Nucleic Acids Res."},{"issue":"Suppl. 1","key":"28_CR18","doi-asserted-by":"publisher","first-page":"D901","DOI":"10.1093\/nar\/gkm958","volume":"36","author":"DS Wishart","year":"2008","unstructured":"Wishart, D.S., Knox, C., Guo, A.C., et al.: DrugBank: a knowledgebase for drugs, drug actions and drug targets. Nucleic Acids Res. 36(Suppl. 1), D901\u2013D906 (2008)","journal-title":"Nucleic Acids Res."},{"issue":"Suppl. 2","key":"28_CR19","doi-asserted-by":"publisher","first-page":"S6","DOI":"10.1186\/1752-0509-4-S2-S6","volume":"4","author":"Z Xia","year":"2010","unstructured":"Xia, Z., Wu, L.Y., Zhou, X., et al.: Semi-supervised drug-protein interaction prediction from heterogeneous biological spaces. BMC Syst. Biol. 4(Suppl. 2), S6 (2010)","journal-title":"BMC Syst. Biol."},{"issue":"13","key":"28_CR20","doi-asserted-by":"publisher","first-page":"i232","DOI":"10.1093\/bioinformatics\/btn162","volume":"24","author":"Y Yamanishi","year":"2008","unstructured":"Yamanishi, Y., Araki, M., Gutteridge, A., et al.: Prediction of drug-target interaction networks from the integration of chemical and genomic spaces. Bioinformatics 24(13), i232\u2013i240 (2008)","journal-title":"Bioinformatics"},{"key":"28_CR21","doi-asserted-by":"crossref","unstructured":"Zheng, X., Ding, H., Mamitsuka, H., et al.: Collaborative matrix factorization with multiple similarities for predicting drug-target interactions. In: SIGKDD 2013, pp. 1025\u20131033. ACM Press (2013)","DOI":"10.1145\/2487575.2487670"}],"container-title":["Lecture Notes in Computer Science","Advances in Knowledge Discovery and Data Mining"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-93034-3_28","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,12]],"date-time":"2024-03-12T12:27:18Z","timestamp":1710246438000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-93034-3_28"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783319930336","9783319930343"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-93034-3_28","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"19 June 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"PAKDD","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Pacific-Asia Conference on Knowledge Discovery and Data Mining","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Melbourne, VIC","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Australia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3 June 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 June 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"pakdd2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/prada-research.net\/pakdd18\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}