Department of Medical Microbiology (Bacteriology and Virology), Afzalipour Faculty of Medicine, Kerman University of Medical Sciences, Kerman, Iran.
Research Center for Hydatid Disease in Iran, Kerman University of Medical Sciences, Kerman, Iran.
Curr Top Med Chem. 2024;24(18):1599-1614. doi: 10.2174/0115680266295587240522050712.
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 the most proposed factor in CRC pathogenesis caused by , it was surprisingly found that this bacteriocin has four α-helix structures and some anti-cancer sequences.
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 pharmacokinetic properties using bioinformatic approaches.
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 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 ACPs.
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.
Designed peptides can be nominated as drugs for CRC treatment. However, different and assessments are required to approve this claim.
使用具有高选择性和低毒性的节省时间和成本效益的靶向疗法治疗结直肠癌(CRC)是一项巨大的挑战。在对胆绿素的初步研究中,作为导致 CRC 发病机制的最主要因素,令人惊讶的是发现这种细菌素具有四个α-螺旋结构和一些抗癌序列。
本研究旨在确定基于胆绿素的抗癌肽(ACP)对表皮生长因子受体(EGFR)和血管表皮生长因子受体(VEGFR)的抑制能力,并通过生物信息学方法评估其药代动力学特性。
使用支持向量机算法的基于网络的工具来预测 ACP。使用工具确定胆绿素衍生的 ACP 的理化特性和抗癌活性的潜力。使用建模工具对预测的 ACP 的 3D 结构进行建模。通过分子对接练习研究预测的 ACP 与靶标的相互作用。然后,通过分子动力学模拟确定配体-受体相互作用的稳定性。最后,进行 ADMET 分析以检查 ACP 的药代动力学特性和毒性。
选择了四个具有抗癌潜力的氨基酸序列。通过分子对接,Pep2 和 Pep3 获得了最佳得分,与 EGFR 和 VEGFR 均具有更强的结合亲和力,并通过形成合理的氢键与两者都有很强的结合。分子模拟证实了 Pep3-EGFR 的稳定性。根据药代动力学分析,ACP 是安全且真实的。
设计的肽可以被提名用于 CRC 治疗药物。然而,需要进行不同的临床试验和临床试验来证实这一说法。