FUNCTIONAL ANNOTATION AND NETWORK ANALYSIS OF PROTEIN IN RESPECT WITH DIABETES TARGETING ALOE VERA PLANT COMPOUNDS BY BIOINFORMATICS TOOLS

Abstract

Diabetes mellitus is a complex metabolic condition caused by insulin deficiency or malfunction. Diabetes is a serious human disease that affects people from all walks of life in numerous countries. Aloe vera is known for its magical powers, which include medicine, health, beauty and skin care products. The applications of Aloe vera is in cosmetics and health products, as well as its anti-oxidant, anti-cancer, anti-inflammatory, laxative and anti-atherosclerotic properties. Therefore, the In-silico study is worth mentioning to expand the effective anti-diabetic drugs of this plant. This research aims to discover the network between proteins and biologically active compounds and their functional annotations, cellular pathways, molecular and biological pathways. When using the STRING 9.1 tool to analyze protein-protein interactions, six enrichment pathways were identified in Arabidopsis and other species. According to the results, the CYP proteins of different species in seed plants are very similar to the CYP proteins of other organisms, so they must come from a common ancestor. The data obtained from the chain shows that the number of nodes is 11, the number of edges is 21, and the average node degree is 3.82. The local clustering coefficient is 0.863, the expected number of edges is 10, and the p value of the enriched ppi is 0.00197. The regulatory network analysis found many transcription factors, including FMO2, FMO5, CBR3, CYP3A4, MA OA, CYP2D6, HSD11B1, FMO4, FMO3, MAOB, FMO1, FMO2, FMO5, CBR3, CYP3A 4, CYP2D6, FMO4, FMO3, MAOB, FMO1CBR3, HSD11B1 CYP3A4, CYP2D6, pump, CYPs4ACYPsACYPs4DACYPs (diabetes type 2DDM/5 and PDM) It plays a role in the patient with type 2 diabetes.