258 In silico prediction of the skin biological activity for botanical active ingredients based on their composition in phytocomponents

Network pharmacology links phytocomponents to target genes and proteins helps predict biological activity. Thereby, this type of study relies on the analytical determination major components a botanical extract. Major plant secondary metabolites are more likely belong terpenoids, phenylpropanoids polyketides class compounds. The validated relationships (scientific literature, databases, experimental data) associated with prediction undescribed but potential connections (e.g., via structural biology approaches) leads list targets that will serve as base for gene enrichment studies, point out specific processes pathways interest. output can be represented tripartite “active phytocompound / & activity signaling pathway” set data used predictive ground further perform validation dedicated skin models. We present in application network particular