Evaluation of antibiotic potential of metabolic peptides derived from gut microbial samples using in Silico Approach

The antibiotic potential of metabolic peptides derived from Camel gut microbial sample is evaluated in this study using computational methods. Data on sequence of microbes isolated from the digestive system of Camel was retrieved from the sequence raw archive (Accession number SRR 13205865) of National Centre for Biotechnology Information. The retrieved sequence was subjected to genome assembly using the database of Bacterial Viral Bioinformatics Resource Centre. Identification of secondary metabolites was done using Anti SMASH server. The identified metabolic peptides include arylpolyene, phosphonate and NRPS. The antibiotic potential of the secondary metabolites was predicted using CAMPR3 server. The antibiotic potential of different regions of the metabolic peptides was predicted the antibacterial peptide prediction server. The result indicated positive antimicrobial potential of the secondary metabolites derived from microbes isolated from camel digestive system. Further research on the therapeutic potential of the identified metabolic peptides for the treatment of bacterial infections is recommended.