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.
Explore GenesNatural 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.
Explore CompoundsProtein 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.
Explore ProteinsNetworks
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.
Explore NetworksIntersecting 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.
Explore Intersections