In Silico Prediction and Molecular Simulation of Antimicrobial Peptide Variants From Lactobacillus sp. Against Porphyromonas gingivalis and Fusobacterium nucleatum in Oral Squamous Cell Carcinoma

IF 1.5 4区 生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Peptide Science Pub Date : 2024-03-08 DOI:10.1002/pep2.24348
Zarin Taj, Indranil Chattopadhyay
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引用次数: 0

Abstract

Porphyromonas gingivalis and Fusobacterium nucleatum are known to contribute to a variety of tumorigenic pathways linked to the progression of oral squamous cell carcinoma (OSCC). The growing global incidence of antibiotic resistance highlights the critical need to consider the use of antimicrobial peptides (AMPs) as a viable alternative to conventional antibiotics. The current study comprehensively tested Lactobacillus sp.−derived AMPs against bacterially exacerbated OSCC. A total of 52 AMPs were obtained from various databases, and an in silico analysis determined their potent antibacterial and anticancer characteristics after a rigorous screening and pruning approach. Twelve AMPs were tested for 3D structural alignment prediction and validation, with the GH12 synthetic AMP serving as a control. These candidate peptides were thoroughly screened against six important virulence proteins of P. gingivalis and four of F. nucleatum, with the lowest energy score of the docked complexes measuring binding affinity and interactions with active residues being chosen. plpl_18 was determined as the most efficient new AMP that interacted with the virulence protein RagB of P. gingivalis and Fap2 of F. nucleatum with docking scores of −238.24 and −254.27 kcal/mol, respectively. This AMP plpl_18 was docked against selective target OSCC regulatory proteins such as cytokines, metallomatrix proteinase, MAPK, E‐cadherin, and JAK‐1 proteins. Among these proteins, it docked against matrix metalloproteinase‐9 with the highest negative docking scores of −7.5, −260.956, and −1361.9 kcal/mol using AutoDock Vina, HPEPDOCK, and ClusPro 2.0, respectively. Molecular dynamic simulation was used to perform extrapolated validation. These computational studies provide an essential foundation for anticipated laboratory and clinical investigations concerning the possibility of adapting therapeutic peptides based on probiotics to combat the proliferation of OSCC, which is accelerated by F. nucleatum and P. gingivalis.
乳酸杆菌针对口腔鳞状细胞癌中牙龈卟啉单胞菌和核酸镰刀菌的抗菌肽变体的硅学预测和分子模拟
众所周知,牙龈卟啉单胞菌(Porphyromonas gingivalis)和核分枝杆菌(Fusobacterium nucleatum)是导致口腔鳞状细胞癌(OSCC)恶化的多种致瘤途径之一。全球范围内抗生素耐药性的日益增长凸显了考虑使用抗菌肽(AMPs)作为传统抗生素可行替代品的迫切需要。本研究对乳酸杆菌衍生的 AMPs 针对细菌性加重的 OSCC 进行了全面测试。研究人员从不同的数据库中获得了 52 种 AMPs,经过严格的筛选和剪枝后,通过硅学分析确定了这些 AMPs 的强效抗菌和抗癌特性。以 GH12 合成 AMP 为对照,对 12 种 AMP 进行了三维结构配准预测和验证测试。plpl_18被确定为与牙龈脓毒性蛋白RagB和核酸酵母菌的Fap2相互作用的最有效的新AMP,其对接得分分别为-238.24和-254.27 kcal/mol。这种 AMP plpl_18 与细胞因子、金属基质蛋白酶、MAPK、E-cadherin 和 JAK-1 蛋白等选择性靶 OSCC 调控蛋白进行了对接。在这些蛋白中,它与基质金属蛋白酶-9的对接负分最高,使用 AutoDock Vina、HPEPDOCK 和 ClusPro 2.0 的对接负分分别为-7.5、-260.956 和 -1361.9 kcal/mol。分子动力学模拟用于进行推断验证。这些计算研究为预期的实验室和临床研究提供了重要的基础,这些研究涉及是否有可能调整基于益生菌的治疗肽,以对抗因核酸酵母菌和牙龈球菌而加速增殖的 OSCC。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Peptide Science
Peptide Science Biochemistry, Genetics and Molecular Biology-Biophysics
CiteScore
5.20
自引率
4.20%
发文量
36
期刊介绍: The aim of Peptide Science is to publish significant original research papers and up-to-date reviews covering the entire field of peptide research. Peptide Science provides a forum for papers exploring all aspects of peptide synthesis, materials, structure and bioactivity, including the use of peptides in exploring protein functions and protein-protein interactions. By incorporating both experimental and theoretical studies across the whole spectrum of peptide science, the journal serves the interdisciplinary biochemical, biomaterials, biophysical and biomedical research communities. Peptide Science is the official journal of the American Peptide Society.
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