{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,5]],"date-time":"2026-05-05T05:52:19Z","timestamp":1777960339528,"version":"3.51.4"},"reference-count":60,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2024,12,22]],"date-time":"2024-12-22T00:00:00Z","timestamp":1734825600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"European Union","award":["T1EDK-00353"],"award-info":[{"award-number":["T1EDK-00353"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Pharmaceuticals"],"abstract":"<jats:p>Background: At present, the complexity that governs the associations between different biological entities is understood better than ever before, owing to high-throughput techniques and systems biology. Networks of interactions are necessary not only for the visualization of these complex relationships but also because their analysis tends to be valuable for the extraction of novel biological knowledge. Methods: For this reason, we constructed a disease\u2013protein\u2013drug network, focusing on a category of rare protein-misfolding diseases, known as amyloidoses, and on other pathological conditions also associated with amyloid deposition. Apart from the amyloidogenic proteins that self-assemble into fibrils, we also included other co-deposited proteins found in amyloid deposits. Results: In this work, protein\u2013protein, protein\u2013drug, and disease\u2013drug associations were collected to create a heterogenous network. Through disease-based and drug-based analyses, we highlighted commonalities between diseases and proposed an approved drug with prospects of repurposing. Conclusions: The identified disease associations and drug candidates are proposed for further study that will potentially help treat diseases associated with amyloid deposition.<\/jats:p>","DOI":"10.3390\/ph17121736","type":"journal-article","created":{"date-parts":[[2024,12,23]],"date-time":"2024-12-23T04:33:29Z","timestamp":1734928409000},"page":"1736","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Integrated Network-Based Analysis of Diseases Associated with Amyloid Deposition Through a Disease\u2013Protein\u2013Drug Network"],"prefix":"10.3390","volume":"17","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-8041-8598","authenticated-orcid":false,"given":"Aikaterini E. I.","family":"Rizou","sequence":"first","affiliation":[{"name":"Section of Cell Biology and Biophysics, Department of Biology, School of Sciences, National and Kapodistrian University of Athens, Panepistimiopolis, 15701 Athens, Greece"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4988-7066","authenticated-orcid":false,"given":"Georgia I.","family":"Nasi","sequence":"additional","affiliation":[{"name":"Section of Cell Biology and Biophysics, Department of Biology, School of Sciences, National and Kapodistrian University of Athens, Panepistimiopolis, 15701 Athens, Greece"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Avgi E.","family":"Apostolakou","sequence":"additional","affiliation":[{"name":"Section of Cell Biology and Biophysics, Department of Biology, School of Sciences, National and Kapodistrian University of Athens, Panepistimiopolis, 15701 Athens, Greece"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8990-3254","authenticated-orcid":false,"given":"Meletios A.","family":"Dimopoulos","sequence":"additional","affiliation":[{"name":"Department of Clinical Therapeutics, School of Medicine, National and Kapodistrian University of Athens, 11528 Athens, Greece"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8191-5832","authenticated-orcid":false,"given":"Efstathios","family":"Kastritis","sequence":"additional","affiliation":[{"name":"Department of Clinical Therapeutics, School of Medicine, National and Kapodistrian University of Athens, 11528 Athens, Greece"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9472-5146","authenticated-orcid":false,"given":"Vassiliki A.","family":"Iconomidou","sequence":"additional","affiliation":[{"name":"Section of Cell Biology and Biophysics, Department of Biology, School of Sciences, National and Kapodistrian University of Athens, Panepistimiopolis, 15701 Athens, Greece"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2024,12,22]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"127","DOI":"10.1016\/bs.apcsb.2021.03.006","article-title":"Big Data, Integrative Omics and Network Biology","volume":"127","author":"Tolani","year":"2021","journal-title":"Adv. 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