{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,26]],"date-time":"2026-02-26T17:37:04Z","timestamp":1772127424728,"version":"3.50.1"},"reference-count":20,"publisher":"American Chemical Society (ACS)","issue":"4","license":[{"start":{"date-parts":[[2021,4,12]],"date-time":"2021-04-12T00:00:00Z","timestamp":1618185600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,4,12]],"date-time":"2021-04-12T00:00:00Z","timestamp":1618185600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2021,4,12]],"date-time":"2021-04-12T00:00:00Z","timestamp":1618185600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-045"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J. Chem. Inf. Model."],"published-print":{"date-parts":[[2021,4,26]]},"DOI":"10.1021\/acs.jcim.0c01342","type":"journal-article","created":{"date-parts":[[2021,4,14]],"date-time":"2021-04-14T23:07:41Z","timestamp":1618441661000},"page":"1603-1616","source":"Crossref","is-referenced-by-count":20,"title":["Collaborative Profile-QSAR: A Natural Platform for Building Collaborative Models among Competing Companies"],"prefix":"10.1021","volume":"61","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7040-5108","authenticated-orcid":true,"given":"Eric J.","family":"Martin","sequence":"first","affiliation":[{"name":"Novartis Institute for Biomedical Research, 5959 Horton Street, Emeryville, California 94608-2916, United States"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiang-Wei","family":"Zhu","sequence":"additional","affiliation":[{"name":"Novartis Institute for Biomedical Research, 5959 Horton Street, Emeryville, California 94608-2916, United States"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"316","published-online":{"date-parts":[[2021,4,12]]},"reference":[{"key":"ref1\/cit1","doi-asserted-by":"publisher","DOI":"10.1021\/ja010l62a035"},{"key":"ref2\/cit2","doi-asserted-by":"publisher","DOI":"10.1039\/D0CS00098A"},{"key":"ref3\/cit3","doi-asserted-by":"publisher","DOI":"10.1517\/17460441.2015.1006195"},{"key":"ref4\/cit4","doi-asserted-by":"publisher","DOI":"10.3389\/fphar.2018.00074"},{"key":"ref5\/cit5","doi-asserted-by":"publisher","DOI":"10.1021\/acs.jcim.6b00572"},{"key":"ref6\/cit6","doi-asserted-by":"publisher","DOI":"10.1186\/s13321-021-00487-2"},{"key":"ref7\/cit7","doi-asserted-by":"crossref","unstructured":"Bosc, N.; Felix, E.; Arcila, R.; Mendez, D.; Saunders, M.; Green, D. V.; Ochoada, J.; Shelat, A. A.; Martin, E.; Iyer, P.; Engkvist, O.; Verras, A.; Duffy, J.; Burrows, J.; Gardner, M.; Leach, A. Malaria Inhibitor Prediction, 2021. https:\/\/www.ebi.ac.uk\/chembl\/maip\/ (downloaded March 13, 2021).","DOI":"10.1186\/s13321-021-00487-2"},{"key":"ref8\/cit8","doi-asserted-by":"publisher","DOI":"10.1021\/acs.jcim.7b00315"},{"key":"ref9\/cit9","volume-title":"Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries","author":"Sheller M. J.","year":"2019"},{"key":"ref10\/cit10","unstructured":"IMI MELLODDY: Machine Learning Ledger Orchestration for Drug Discovery, 2021. https:\/\/www.imi.europa.eu\/projects-results\/project-factsheets\/melloddy (downloaded March 19, 2021)."},{"key":"ref11\/cit11","unstructured":"Curtis, D. MELLODDY: Consortium Employs Federated Learning and Blockchain to Enhance AI Drug Discovery, 2021. https:\/\/astrixinc.com\/melloddy-consortium-employs-federated-learning-and-blockchain-to-enhance-ai-drug-discovery\/ (downloaded March 19, 2021)."},{"key":"ref12\/cit12","unstructured":"MELLODDY:\nMachine Learning Ledger Orchestration for Drug Discovery, 2021. https:\/\/www.melloddy.eu\/ (downloaded March 19, 2021)."},{"key":"ref13\/cit13","doi-asserted-by":"publisher","DOI":"10.1021\/acs.jcim.9b00375"},{"key":"ref14\/cit14","doi-asserted-by":"publisher","DOI":"10.1021\/acs.jcim.7b00166"},{"key":"ref15\/cit15","doi-asserted-by":"publisher","DOI":"10.1021\/ci1005004"},{"key":"ref16\/cit16","doi-asserted-by":"publisher","DOI":"10.1021\/acs.jcim.8b00768"},{"key":"ref17\/cit17","doi-asserted-by":"crossref","unstructured":"Kim, B. C.; Joe, D.; Woo, Y.; Kim, Y.; Yoon, G. In\n                      Extension of pQSAR: Ensemble Model Generated by Random Forest and Partial Least Squares Regressions\n                      , IEEE Access, 2020; pp 180087\u2013180099.","DOI":"10.1109\/ACCESS.2020.3027828"},{"key":"ref18\/cit18","doi-asserted-by":"publisher","DOI":"10.1021\/acs.jcim.9b00375"},{"key":"ref19\/cit19","doi-asserted-by":"publisher","DOI":"10.1021\/ci1005004"},{"key":"ref20\/cit20","doi-asserted-by":"publisher","DOI":"10.1021\/acs.jcim.7b00087"}],"container-title":["Journal of Chemical Information and Modeling"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/pubs.acs.org\/doi\/pdf\/10.1021\/acs.jcim.0c01342","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,4,27]],"date-time":"2023-04-27T04:31:34Z","timestamp":1682569894000},"score":1,"resource":{"primary":{"URL":"https:\/\/pubs.acs.org\/doi\/10.1021\/acs.jcim.0c01342"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,4,12]]},"references-count":20,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2021,4,26]]}},"alternative-id":["10.1021\/acs.jcim.0c01342"],"URL":"https:\/\/doi.org\/10.1021\/acs.jcim.0c01342","relation":{"has-preprint":[{"id-type":"doi","id":"10.26434\/chemrxiv.13138751","asserted-by":"object"},{"id-type":"doi","id":"10.26434\/chemrxiv.13138751.v1","asserted-by":"object"}]},"ISSN":["1549-9596","1549-960X"],"issn-type":[{"value":"1549-9596","type":"print"},{"value":"1549-960X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,4,12]]}}}