{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,14]],"date-time":"2026-03-14T07:51:53Z","timestamp":1773474713580,"version":"3.50.1"},"update-to":[{"DOI":"10.1371\/journal.pcbi.1012208","type":"new_version","label":"New version","source":"publisher","updated":{"date-parts":[[2024,7,2]],"date-time":"2024-07-02T00:00:00Z","timestamp":1719878400000}}],"reference-count":113,"publisher":"Public Library of Science (PLoS)","issue":"6","license":[{"start":{"date-parts":[[2024,6,20]],"date-time":"2024-06-20T00:00:00Z","timestamp":1718841600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/publicdomain\/zero\/1.0\/"}],"funder":[{"DOI":"10.13039\/501100006126","name":"Hospital for Sick Children","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100006126","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["R21AI126110"],"award-info":[{"award-number":["R21AI126110"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000024","name":"Canadian Institutes for Health Research","doi-asserted-by":"crossref","award":["PJT152921"],"award-info":[{"award-number":["PJT152921"]}],"id":[{"id":"10.13039\/501100000024","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/100006492","name":"Division of Intramural Research, National Institute of Allergy and Infectious Diseases","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100006492","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["www.ploscompbiol.org"],"crossmark-restriction":false},"short-container-title":["PLoS Comput Biol"],"abstract":"<jats:p>\n                    The apicomplexan intracellular parasite\n                    <jats:italic>Toxoplasma gondii<\/jats:italic>\n                    is a major food borne pathogen that is highly prevalent in the global population. The majority of the\n                    <jats:italic>T<\/jats:italic>\n                    .\n                    <jats:italic>gondii<\/jats:italic>\n                    proteome remains uncharacterized and the organization of proteins into complexes is unclear. To overcome this knowledge gap, we used a biochemical fractionation strategy to predict interactions by correlation profiling. To overcome the deficit of high-quality training data in non-model organisms, we complemented a supervised machine learning strategy, with an unsupervised approach, based on similarity network fusion. The resulting combined high confidence network, ToxoNet, comprises 2,063 interactions connecting 652 proteins. Clustering identifies 93 protein complexes. We identified clusters enriched in mitochondrial machinery that include previously uncharacterized proteins that likely represent novel adaptations to oxidative phosphorylation. Furthermore, complexes enriched in proteins localized to secretory organelles and the inner membrane complex, predict additional novel components representing novel targets for detailed functional characterization. We present ToxoNet as a publicly available resource with the expectation that it will help drive future hypotheses within the research community.\n                  <\/jats:p>","DOI":"10.1371\/journal.pcbi.1012208","type":"journal-article","created":{"date-parts":[[2024,6,20]],"date-time":"2024-06-20T13:44:41Z","timestamp":1718891081000},"page":"e1012208","update-policy":"https:\/\/doi.org\/10.1371\/journal.pcbi.corrections_policy","source":"Crossref","is-referenced-by-count":6,"title":["ToxoNet: A high confidence map of protein-protein interactions in Toxoplasma gondii"],"prefix":"10.1371","volume":"20","author":[{"given":"Lakshmipuram S.","family":"Swapna","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Grant 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