EVLncRNAs 4.0: an updated database of experimentally validated functional long non-coding RNAs with evidence-grounded AI access

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ID: 337874
2026
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Abstract
Long non-coding RNAs (lncRNAs) have diverse biological functions, but experimentally validated evidence remains scattered across the literature and is often context dependent. EVLncRNAs 4.0 (https://www.sdklab-biophysics-dzu.net/EVLncRNAs4/) updates our manually curated database of functional lncRNAs supported by low-throughput experiments. For this release, 16 581 publications indexed between 15 May 2023 and 15 May 2026 were retrieved and manually screened. Compared with EVLncRNAs 3.0, EVLncRNAs 4.0 contains 7808 functional lncRNAs (+26%) from 199 species (+23%), 2313 diseases (+34%), 28 757 curated functional records (+21%), and 18 380 molecular interactions (+25%). EVLncRNAs 4.0 also introduces two AI-assisted functions built on the curated evidence base. AI Search uses an enhanced retrieval-augmented generation framework with adaptive selection across Quick, Expanded, and Exhaustive retrieval modes and generates answers from retrieved EVLncRNAs records with PMID-linked citations. Benchmark evaluation showed complete request execution, high retrieval coverage and full citation validity within the supplied evidence context. Functional Overview retrieves and aggregates lncRNA- and species-specific curated records before generating concise evidence-based summaries. In both functions, language models synthesize retrieved evidence rather than serve as independent sources of biological knowledge. EVLncRNAs 4.0 therefore provides an expanded, experimentally grounded resource for accessing and interpreting functional lncRNA evidence across species and biological contexts.
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Authors Bailing Zhou, 季葆华, Zhiwei Li, Zhenghua LI, Chunjie Liu, Xia Zhang, Xue Yu, Pingping Huang, Li Kong, Shuo Yang, Qiangcheng Zeng, Xianghua Dou, Zanxia Cao, Shicai Xu, Huiying Zhao, Yuedong Yang, Yaoqi Zhou, Jihua Wang
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Journal Nucleic Acids Research
Year 2026
DOI
10.1093/nar/gkag1111
URL
https://academic.oup.com/nar/advance-article-pdf/doi/10.1093/nar/gkag1111/72639834/gkag1111.pdf
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