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Peer-reviewedCC BY-NC 4.0Nucleic Acids Research

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

  • Bailing Zhou1
  • Baohua Ji2
  • Zhiwei Li3
  • Zhenghua Li1
  • Chunjie Liu4
  • Xia Zhang1
  • Xue Yu5
  • Pingping Huang1
  • Li Kong1
  • Shuo Yang1,6
  • Qiangcheng Zeng7
  • Xianghua Dou8
6 more authors
  • Zanxia Cao1
  • Shicai Xu1
  • Huiying Zhao9
  • Yuedong Yang1,10
  • Yaoqi Zhou1,11
  • Jihua Wang1
11 affiliations
  1. 1Institute of Biophysics, Dezhou University , Dezhou 253023 ,
  2. 2College of Physics and Electronic Information, Dezhou University , Dezhou 253023 ,
  3. 3Gastrointestinal Surgery, Dezhou Second People’s Hospital , Dezhou 253000 ,
  4. 4Patent Examination Cooperation (Beijing) Center of the Patent Office, CNIPA , Beijing 100160 ,
  5. 5Belgorod Institute of Food Sciences, Dezhou University , Dezhou 253023 ,
  6. 6College of Computer and Information Engineering, Dezhou University , Dezhou 253023 ,
  7. 7College of Life Science, Dezhou University , Dezhou 253023 ,
  8. 8College of Mathematics and Big Data, Dezhou University , Dezhou 253023 ,
  9. 9Department of Medical Research Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University , Guangzhou 510120 ,
  10. 10School of Computer Science and Engineering, Sun Yat-Sen University , Guangzhou 510006 ,
  11. 11Institute of Systems and Physical Biology, Shenzhen Bay Laboratory , Shenzhen 518107 ,
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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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Cite

BibTeXRIS
BibTeX
@article{zhou2026evlncrnas,
  title = {{EVLncRNAs 4.0: an updated database of experimentally validated functional long non-coding RNAs with evidence-grounded AI access}},
  author = {Bailing Zhou and Baohua Ji and Zhiwei Li and Zhenghua Li and Chunjie Liu and Xia Zhang and Xue Yu and Pingping Huang and Li Kong and Shuo Yang and Qiangcheng Zeng and Xianghua Dou and Zanxia Cao and Shicai Xu and Huiying Zhao and Yuedong Yang and Yaoqi Zhou and Jihua Wang},
  journal = {Nucleic Acids Research},
  year = {2026},
  month = oct,
  doi = {10.1093/nar/gkag1111},
  url = {https://academic.oup.com/nar/advance-article/doi/10.1093/nar/gkag1111/9005757},
  note = {CC BY-NC 4.0},
}
RIS
TY  - JOUR
TI  - EVLncRNAs 4.0: an updated database of experimentally validated functional long non-coding RNAs with evidence-grounded AI access
AU  - Bailing Zhou
AU  - Baohua Ji
AU  - Zhiwei Li
AU  - Zhenghua Li
AU  - Chunjie Liu
AU  - Xia Zhang
AU  - Xue Yu
AU  - Pingping Huang
AU  - Li Kong
AU  - Shuo Yang
AU  - Qiangcheng Zeng
AU  - Xianghua Dou
AU  - Zanxia Cao
AU  - Shicai Xu
AU  - Huiying Zhao
AU  - Yuedong Yang
AU  - Yaoqi Zhou
AU  - Jihua Wang
PY  - 2026
DA  - 2026/10/31
JO  - Nucleic Acids Research
DO  - 10.1093/nar/gkag1111
UR  - https://academic.oup.com/nar/advance-article/doi/10.1093/nar/gkag1111/9005757
AB  - 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.
SN  - 0305-1048
SN  - 1362-4962
ER  -