Fig. 1

Overview of the analytical pipeline developed in this study. A Integration of publicly available transcriptomics datasets of lesional skin and non-lesional counterparts from atopic dermatitis patients. The data underwent meta-analysis and were utilised to infer co-expression network models for the lesional and non-lesional skin. Therefore, a gene rank was computed by exploiting information from data driven genes and genes with a priori knowledge of association with atopic dermatitis. B Identification of the atopic dermatitis disease module. C Characterisation of the disease module based on skin and immune cell transcriptional signatures, drug-target associations and intra-module connectivity. Druggability evaluation of the disease module, extrapolation of pharmacologically active pharmacophores and identification of novel compounds through virtual screening