{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,30]],"date-time":"2026-09-30T20:09:26Z","timestamp":1790798966228,"version":"4.1.0"},"reference-count":91,"publisher":"Oxford University Press (OUP)","issue":"1","license":[{"start":{"date-parts":[[2025,6,27]],"date-time":"2025-06-27T00:00:00Z","timestamp":1750982400000},"content-version":"vor","delay-in-days":177,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["IOS-IOS-2307044"],"award-info":[{"award-number":["IOS-IOS-2307044"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,1,21]]},"abstract":"<jats:title>Synopsis<\/jats:title>\n               <jats:p>Venoms are complex bioactive mixtures that have independently evolved across diverse animal lineages, including snails, insects, sea anemones, spiders, scorpions, and snakes. Despite the growing interest in venom research, data is fragmented across disparate databases which lack standardization and interoperability. A vision for the proposed VenomsBase platform presented here seeks to address these challenges by using the best practices approach in creating a centralized, open-access platform adhering to FAIR principles (Findable, Accessible, Interoperable, and Reproducible). VenomsBase will unify venom datasets, standardize terminology, and enable comparative analyses across species, facilitating novel toxin discovery and functional annotation. Key features of VenomsBase include user-friendly data submission modules with built-in validation, advanced cross-species analysis tools, and integration of multidisciplinary datasets spanning genomics, transcriptomics, proteomics, functional assays, and ecological metadata. A modular, cloud-based design will ensure scalability, while heuristic scoring systems will guide users toward high-confidence data entries. To promote accessibility, the envisioned VenomsBase will provide tutorials, regular training sessions, case studies, and feedback loops, supporting researchers at all levels. By harmonizing venom research and addressing the limitations of outdated or nonstandardized methods, VenomsBase aims to revolutionize the field, while being continuously improved and refined by venom experts. This initiative will unlock venoms\u2019 potential to make groundbreaking discoveries, address global health challenges, and foster collaboration and innovation across the scientific community.<\/jats:p>","DOI":"10.1093\/iob\/obaf026","type":"journal-article","created":{"date-parts":[[2025,6,27]],"date-time":"2025-06-27T07:59:18Z","timestamp":1751011158000},"source":"Crossref","is-referenced-by-count":3,"title":["A Vision for VenomsBase: An Integrated Knowledgebase for the Study of Venoms and Their Applications"],"prefix":"10.1093","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5912-1574","authenticated-orcid":false,"given":"T A","family":"Castoe","sequence":"first","affiliation":[{"name":"University of Texas at Arlington Department of Biology, , Arlington, TX 76019 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