Vitiligo Information Resource database v3.

IF 4.4 2区 生物学 Q1 MATHEMATICAL & COMPUTATIONAL BIOLOGY
Abhishek Sengupta, Vishal Singh, Muskan Syed, Alakto Choudhury, Payal Gupta, Somesh Gupta, Priyanka Narad
{"title":"Vitiligo Information Resource database v3.","authors":"Abhishek Sengupta, Vishal Singh, Muskan Syed, Alakto Choudhury, Payal Gupta, Somesh Gupta, Priyanka Narad","doi":"10.1038/s41540-026-00713-3","DOIUrl":null,"url":null,"abstract":"<p><p>Vitiligo is a multifaceted autoimmune skin disease characterized by the loss of epidermal melanocytes, yet its molecular basis remains poorly understood. To address the need for a specialized systems biology interface, we present VIRdb v3.0, an integrative database combining curated transcriptomics-based datasets with differentially expressed genes, a protein-protein interaction network highlighting regulatory hubs, and an enriched library of natural compounds and FDA-approved drugs targeting vitiligo-related proteins. The platform supports pathway enrichment, molecular docking, and cross-disease comparisons with autoimmune disorders to identify shared molecular signatures. Backend redevelopment using the Django framework enables scalability and real-time data integration. The updated platform now also supports z-score normalization of expression data, multi-gene pathway enrichment queries, and comparative gene-gene interaction networks for vitiligo and its comorbid autoimmune conditions. VIRdb v3.0 facilitates hypothesis generation, biomarker discovery, and therapeutic exploration, advancing vitiligo systems biology. The database is freely accessible at https://virdb.sbdaresearch.in/ .</p>","PeriodicalId":19345,"journal":{"name":"NPJ Systems Biology and Applications","volume":" ","pages":""},"PeriodicalIF":4.4000,"publicationDate":"2026-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13646274/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"NPJ Systems Biology and Applications","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1038/s41540-026-00713-3","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICAL & COMPUTATIONAL BIOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Vitiligo is a multifaceted autoimmune skin disease characterized by the loss of epidermal melanocytes, yet its molecular basis remains poorly understood. To address the need for a specialized systems biology interface, we present VIRdb v3.0, an integrative database combining curated transcriptomics-based datasets with differentially expressed genes, a protein-protein interaction network highlighting regulatory hubs, and an enriched library of natural compounds and FDA-approved drugs targeting vitiligo-related proteins. The platform supports pathway enrichment, molecular docking, and cross-disease comparisons with autoimmune disorders to identify shared molecular signatures. Backend redevelopment using the Django framework enables scalability and real-time data integration. The updated platform now also supports z-score normalization of expression data, multi-gene pathway enrichment queries, and comparative gene-gene interaction networks for vitiligo and its comorbid autoimmune conditions. VIRdb v3.0 facilitates hypothesis generation, biomarker discovery, and therapeutic exploration, advancing vitiligo systems biology. The database is freely accessible at https://virdb.sbdaresearch.in/ .

白癜风信息资源数据库v3。
白癜风是一种多层面的自身免疫性皮肤病,其特征是表皮黑色素细胞的丧失,但其分子基础仍然知之甚少。为了满足对专门系统生物学接口的需求,我们提出了VIRdb v3.0,这是一个整合数据库,结合了基于转录组学的数据集和差异表达基因,蛋白质-蛋白质相互作用网络,突出调节中心,以及丰富的天然化合物和fda批准的针对白癜风相关蛋白的药物库。该平台支持途径富集、分子对接和与自身免疫性疾病的交叉疾病比较,以识别共享的分子特征。使用Django框架的后端重新开发实现了可伸缩性和实时数据集成。更新后的平台现在还支持表达数据的z-score规范化,多基因途径富集查询以及白癜风及其合并症自身免疫性疾病的比较基因-基因相互作用网络。VIRdb v3.0促进假设生成、生物标志物发现和治疗探索,推进白癜风系统生物学。该数据库可在https://virdb.sbdaresearch.in/免费访问。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
NPJ Systems Biology and Applications
NPJ Systems Biology and Applications Mathematics-Applied Mathematics
CiteScore
5.80
自引率
0.00%
发文量
46
审稿时长
8 weeks
期刊介绍: npj Systems Biology and Applications is an online Open Access journal dedicated to publishing the premier research that takes a systems-oriented approach. The journal aims to provide a forum for the presentation of articles that help define this nascent field, as well as those that apply the advances to wider fields. We encourage studies that integrate, or aid the integration of, data, analyses and insight from molecules to organisms and broader systems. Important areas of interest include not only fundamental biological systems and drug discovery, but also applications to health, medical practice and implementation, big data, biotechnology, food science, human behaviour, broader biological systems and industrial applications of systems biology. We encourage all approaches, including network biology, application of control theory to biological systems, computational modelling and analysis, comprehensive and/or high-content measurements, theoretical, analytical and computational studies of system-level properties of biological systems and computational/software/data platforms enabling such studies.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书