Mining Alzheimer's Interactomes, Macromolecular Complexes and Pathways for drug discovery

Mining Alzheimer's Interactomes, Macromolecular Complexes and Pathways for drug discovery | Authorea try { document.documentElement.classList.add('js'); } catch (e) { } var _gaq = _gaq || []; _gaq.push(['_setAccount', 'G-8VDV14Y67G']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); Skip to main content Preprints Collections Wiley Open Research IET Open Research Ecological Society of Japan All Collections About About Authorea FAQs Contact Us Quick Search anywhere Search for preprint articles, keywords, etc. Search Search ADVANCED SEARCH SCROLL PROTEOMICS This is a preprint and has not been peer reviewed. Data may be preliminary. 10 January 2025 V1 Latest version Share on Mining Alzheimer's Interactomes, Macromolecular Complexes and Pathways for drug discovery Authors : Kalpana Panneerselvam 0000-0003-2534-198X [email protected] , Krishna Kumar Tiwari , Luana Licata , Simona Panni , Sylvie Ricard-Blum 0000-0001-9263-1851 , Sucharitha Balu , Susie Huget , … Show All … , Juan Jose Medina Reyes , Eliot Ragueneau 0000-0002-7876-6503 , Livia Perfetto , Birgit Meldal , Sandra Orchard , and Henning Hermjakob Show Fewer Authors Info & Affiliations https://doi.org/10.22541/au.173650341.16229162/v1 Published PROTEOMICS Version of record Peer review timeline 311 views 200 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract Alzheimer’s disease (AD) is a progressive neurodegenerative disorder that leads to dementia. Many cases are diagnosed annually and there is no currently available cure. Understanding the underlying disease biology of AD through the study of molecular networks, particularly by mapping clinical variants to tissue-specific interactomes and regulatory macromolecular assemblies, offers a promising avenue to elucidate altered disease pathways. This, in turn, could provide valuable insights for drug discovery. In this study, we leverage our manually curated AD-specific dataset from the IMEx consortium, which provides detailed interaction data, including the relationship between interacting partners, detection in specific host tissues and cell lines, and the impact of variants on interaction outcomes. By integrating these data with information on protein complex composition taken from the Complex Portal, we have identified relevant macromolecular assemblies enriched in AD networks. Further pathway enrichment analysis is conducted using Reactome, enabling a comprehensive exploration of disease mechanisms and potential therapeutic targets. Supplementary Material File (links-removed_wiley-proteomics_kp.docx) Download 9.50 MB Information & Authors Information Version history V1 Version 1 10 January 2025 Peer review timeline Published PROTEOMICS Version of Record 25 Aug 2025 Published Copyright This work is licensed under a Non Exclusive No Reuse License. Collection PROTEOMICS Keywords clinical variants molecular interactions protein complexes Authors Affiliations Kalpana Panneerselvam 0000-0003-2534-198X [email protected] EMBL-EBI View all articles by this author Krishna Kumar Tiwari EMBL-EBI View all articles by this author Luana Licata University of Rome Tor Vergata Macro Area of Mathematical Physical and Natural Sciences View all articles by this author Simona Panni University of Calabria Department of Biology Ecology and Earth Sciences View all articles by this author Sylvie Ricard-Blum 0000-0001-9263-1851 Universite Lyon 1 IUT Lyon 1 View all articles by this author Sucharitha Balu EMBL-EBI View all articles by this author Susie Huget EMBL-EBI View all articles by this author Juan Jose Medina Reyes EMBL-EBI View all articles by this author Eliot Ragueneau 0000-0002-7876-6503 EMBL-EBI View all articles by this author Livia Perfetto University of Rome La Sapienza Faculty of Mathematical Physical and Natural Sciences View all articles by this author Birgit Meldal Pfizer Institute for Pharmaceutical Materials Science View all articles by this author Sandra Orchard EMBL-EBI View all articles by this author Henning Hermjakob EMBL-EBI View all articles by this author Metrics & Citations Metrics Article Usage 311 views 200 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Kalpana Panneerselvam, Krishna Kumar Tiwari, Luana Licata, et al. Mining Alzheimer's Interactomes, Macromolecular Complexes and Pathways for drug discovery. Authorea . 10 January 2025. DOI: https://doi.org/10.22541/au.173650341.16229162/v1 If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download. For more information or tips please see 'Downloading to a citation manager' in the Help menu . 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