Browse Database

Explore comprehensive vitiligo research data and analysis tools

Differential Genes

Investigate differentially expressed genes in various phenotypes of Vitiligo (i.e. Lesional Vitiligo, Peri-Lesional Vitiligo and Non-Lesional Vitiligo). The genes are derived through t-test and false-discovery rates for each test situation was computed using Storey–Tibshirani procedure.

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Natural Leads

Inspect natural compounds from NPASS db that show significant GLIDE-Scores (Docking Scores) to curated protein targets. Data is projected for top 50 docked conformations along with Glide-Energies.

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Protein Targets

Explore protein Targets from the original PPI-network published in Malhotra et al., 2017. Scout relative information of the proteins from various sources such as SwissProt, STRING db et cetera.

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Networks

Uncover complex relationships using D3-Force visualization in VIRdb. Leveraging the GeneMania plugin from Cytoscape, researchers can explore intricate molecular networks of vitiligo-related proteins, genes, and compounds.

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Intersecting DEGs

A comparative gene expression analysis was performed for vitiligo, PS, MS, and RA. Common differentially expressed genes were found between vitiligo and PS, while contradictory expressions were observed for PS. MS and vitiligo had mostly contrasting gene expressions, except for a few shared genes.

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