Srivastava Priyansh, Choudhury Alakto, Talwar Mehak, Mohanty Sabyasachi, Narad Priyanka, Sengupta Abhishek
Amity Institute of Biotechnology, Amity University, Uttar Pradesh, India.
PeerJ. 2020 May 21;8:e9119. doi: 10.7717/peerj.9119. eCollection 2020.
Vitiligo is a chronic asymptomatic disorder affecting melanocytes from the basal layer of the epidermis which leads to a patchy loss of skin color. Even though it is one of the neglected disease conditions, people suffering from vitiligo are more prone to psychological disorders. As of now, various studies have been done in order to project auto-immune implications as the root cause. To understand the complexity of vitiligo, we propose the Vitiligo Information Resource (VIRdb) that integrates both the drug-target and systems approach to produce a comprehensive repository entirely devoted to vitiligo, along with curated information at both protein level and gene level along with potential therapeutics leads. These 25,041 natural compounds are curated from Natural Product Activity and Species Source Database. VIRdb is an attempt to accelerate the drug discovery process and laboratory trials for vitiligo through the computationally derived potential drugs. It is an exhaustive resource consisting of 129 differentially expressed genes, which are validated through gene ontology and pathway enrichment analysis. We also report 22 genes through enrichment analysis which are involved in the regulation of epithelial cell differentiation. At the protein level, 40 curated protein target molecules along with their natural hits that are derived through virtual screening. We also demonstrate the utility of the VIRdb by exploring the Protein-Protein Interaction Network and Gene-Gene Interaction Network of the target proteins and differentially expressed genes. For maintaining the quality and standard of the data in the VIRdb, the gold standard in bioinformatics toolkits like Cytoscape, Schrödinger's GLIDE, along with the server installation of MATLAB, are used for generating results. VIRdb can be accessed through "http://www.vitiligoinfores.com/".
白癜风是一种慢性无症状性疾病,会影响表皮基底层的黑素细胞,导致皮肤出现斑驳的色素脱失。尽管它是被忽视的疾病状况之一,但白癜风患者更容易出现心理障碍。目前,已经开展了各种研究,将自身免疫影响视为根本原因。为了理解白癜风的复杂性,我们提出了白癜风信息资源库(VIRdb),它整合了药物靶点和系统方法,以创建一个完全致力于白癜风的综合知识库,并在蛋白质水平和基因水平提供经过整理的信息以及潜在的治疗线索。这25,041种天然化合物是从天然产物活性和物种来源数据库中筛选出来的。VIRdb旨在通过计算得出的潜在药物加速白癜风的药物发现过程和实验室试验。它是一个详尽的资源库,包含129个差异表达基因,这些基因通过基因本体论和通路富集分析得到了验证。我们还通过富集分析报告了22个参与上皮细胞分化调节的基因。在蛋白质水平上,有40个经过整理的蛋白质靶标分子以及通过虚拟筛选得出的天然命中物。我们还通过探索靶蛋白和差异表达基因的蛋白质-蛋白质相互作用网络和基因-基因相互作用网络,展示了VIRdb的实用性。为了保持VIRdb中数据的质量和标准,使用了生物信息学工具包中的黄金标准,如Cytoscape、薛定谔的GLIDE以及MATLAB的服务器安装来生成结果。可通过“http://www.vitiligoinfores.com/”访问VIRdb。