Evaluating the MreB-Binding Prospects of Proposed Antibacterial Peptides through Molecular Modeling and Simulations

埃布先生 计算生物学 抗菌肽 化学 生物 细菌 抗菌活性 生物化学 遗传学 细胞骨架 细胞
作者
Elvis Awuni
出处
期刊:Journal of computational biophysics and chemistry [World Scientific]
卷期号:: 1-19
标识
DOI:10.1142/s2737416524500558
摘要

Bacterial infection and resistance continue to pose a threat to global health. Antibacterial peptides have been proposed as next-generation therapeutics to address this threat owing to their reduced susceptibility to resistance. The interprotofilament interface of the bacterial actin MreB is a prospective target for peptide-based antibiotics to impede MreB polymerization into the double protofilaments required for function. Unfortunately, there have been no reports of inhibitors of MreB targeting the interprotofilament interface. In this study, molecular modeling and simulation strategies were used to assess the MreB-binding prospects of four proposed antiMreB peptides to identify leads for the design and development of peptide-based antibiotics. The PEP-FOLD server was employed to predict the structures of the peptides, followed by structural refinement using the ModRifner server. Subsequently, the HADDOCK server was used to predict the mode of binding of each peptide to the interprotofilament interface of MreB. Furthermore, the predicted peptide-MreB complexes were subjected to molecular dynamics simulations, identifying Pep4 and Pep7 as hits. The results showed that Pep4 and Pep7 remained stably bound to the interprotofilament interface of MreB for up to 100 ns of simulation time. In addition to demonstrating the possibility of binding to the interprotofilament interface of MreB to disrupt MreB–MreB interactions, Pep4 and Pep7 also showed the ability to impede the ATP-dependent conformational change and dynamics of MreB required for polymerization into double protofilaments. Collectively, the results suggest that Pep4 and Pep7 are potential inhibitors or leads for the design, discovery and development of peptide-based MreB-targeting antibiotics.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
脑洞疼应助meimei采纳,获得10
3秒前
iiio0oiii完成签到,获得积分10
3秒前
4秒前
wanci应助小包谷采纳,获得10
4秒前
姬伶完成签到,获得积分10
5秒前
William完成签到 ,获得积分10
6秒前
甜美枫完成签到,获得积分10
7秒前
7秒前
沧海一声笑完成签到,获得积分10
8秒前
10秒前
10秒前
10秒前
香蕉觅云应助科研通管家采纳,获得10
10秒前
10秒前
10秒前
萌萌应助科研通管家采纳,获得20
10秒前
10秒前
10秒前
10秒前
10秒前
bkagyin应助科研通管家采纳,获得10
10秒前
情怀应助科研通管家采纳,获得10
10秒前
白华苍松发布了新的文献求助10
11秒前
11秒前
JRod发布了新的文献求助10
11秒前
科研通AI6.2应助陈陈采纳,获得10
11秒前
11秒前
苏梗完成签到 ,获得积分10
12秒前
13508104971发布了新的文献求助10
14秒前
MMCC应助雅黑采纳,获得10
14秒前
yijiubingshi发布了新的文献求助10
14秒前
行走的荷尔蒙应助Hyunjinnn采纳,获得10
14秒前
莫尔应力圆完成签到,获得积分10
15秒前
英俊的铭应助吴旭东采纳,获得10
16秒前
17秒前
18秒前
tiptip应助莫尔应力圆采纳,获得10
18秒前
苗条的以丹完成签到,获得积分10
19秒前
李健应助子悦采纳,获得10
20秒前
领导范儿应助BeSideWorld采纳,获得10
22秒前
高分求助中
Principles of Economics, 11th Edition 10000
Prescott's Microbiology: 2026 Release ISE 10000
University Physics with Modern Physics, 16th edition 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Environmental Leverage in Times of Climate Crisis: Product Standards, Carbon Border Measures and Preferential Trade Agreements 1000
Erwählung und Berufung bei Paulus: Bedeutung, Entwicklung und Funktion einer Vorstellung in ihrem frühjüdischen und griechisch-römischen Kontext 850
The Cambridge Handbook of Intellectual Property and Upcycling 800
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7210088
求助须知:如何正确求助?哪些是违规求助? 8842759
关于积分的说明 18660989
捐赠科研通 6861373
什么是DOI,文献DOI怎么找? 3182256
关于科研通互助平台的介绍 2342532
邀请新用户注册赠送积分活动 2156663