Background:
Colorectal cancer (CRC) treatment using time-saving and cost-effective
targeted therapies with high selectivity and low toxicity drugs, is a great challenge. In primary investigations
on Gallocin, as a most proposed factor in CRC pathogenesis caused by Streptococcus
gallolyticus, it was surprisingly found that this bacteriocin has four α-helix structures and some anti-
cancer sequences.
Objective:
The aim of this study was to determine the ability of Gallocin-based anticancer peptides
(ACPs) against epidermal growth factor receptor (EGFR) and vascular epidermal growth factor
receptor (VEGFR) and the evaluation of their pharmacokinetics properties using bioinformatics
approaches.
Methods:
Support vector machine algorithm web-based tools were used for predicting ACPs. The
physicochemical characteristics and the potential of anti-cancer activity of Gallocin-derived ACPs
were determined by in silico tools. The 3D structure of predicted ACPs was modeled using modeling
tools. The interactions between predicted ACPs and targets were investigated by molecular
docking exercises. Then, the stability of ligand-receptor interactions was determined by molecular
dynamic simulation. Finally, ADMET analysis was carried out to check the pharmacokinetic properties
and toxicity of ACP.
Results:
Four amino acid sequences with anti-cancer potential were selected. Through molecular
docking, Pep2, and Pep3 gained the best scores, more binding affinity, and strong attachments by
the formation of reasonable H-bonds with both EGFR and VEGFR. Molecular simulation confirmed
the stability of Pep3- EGFR. According to pharmacokinetic analysis, the ACPs were safe
and truthful.
Conclusion:
Designed peptides can be nominated as drugs for CRC treatment. However, different
in-vitro and in-vivo assessments are required to approve this claim.