IN SILICO PREDICTION OF ANTICANCER POTENTIAL OF CAMEL GUT MICROBIAL METABOLIC PEPTIDES
DOI:
https://doi.org/10.33003/fjs-2025-0912-4431Keywords:
Predicting, Metabolic peptides, Anti-cancer, In silicoAbstract
Anti-cancer potential of metabolic peptides derived from Camel gut microbial samples was evaluated using computational methods. Genomic data on the microorganisms (Accession number SRR 13205865) was relieved from database of Notational Centre for Biotechnology Information (NCBI). The PATRIC database was used for genome assembly. Metabolic peptides were identified using the Anti SMASH server. The Anti cancer prediction server 2.0 was set at SVM threshold of 0.45 for prediction of Anti-cancer activity of the metabolic peptides. Arylpolyene, Phosphonate and NRPS were identified as metabolic peptides derived from the Camel gut microbial samples. The results indicated that three metabolic peptides (Arylpolyene, Phosphonate and NRPS) identified from Camel gut microbes were predicted to exhibit anti cancer potential using anti CP 2.0 with a score of 0.58 surpassing the 0.45 SVM threshold. Further studies on the therapeutic potential and safety of Camel derived metabolic peptides is recommended.
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