An exploration of the binding prediction of anatoxin-a and atropine to acetylcholinesterase enzyme using multi-level computer simulations.

IF 2 4区 生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY Physical biology Pub Date : 2023-11-23 DOI:10.1088/1478-3975/ad0caa
Showkat Ahmad Mir, Jamoliddin Razzokov, Vishwajeet Mukherjee, Iswar Baitharu, Binata Nayak
{"title":"An exploration of the binding prediction of anatoxin-a and atropine to acetylcholinesterase enzyme using multi-level computer simulations.","authors":"Showkat Ahmad Mir, Jamoliddin Razzokov, Vishwajeet Mukherjee, Iswar Baitharu, Binata Nayak","doi":"10.1088/1478-3975/ad0caa","DOIUrl":null,"url":null,"abstract":"Acetylcholinesterase (AChE) is crucial for the breakdown of acetylcholine to acetate and choline, while the inhibition of AChE by anatoxin-a (ATX-a) results in severe health complications. This study explores the structural characteristics of ATX-a and its interactions with AChE, comparing to the reference molecule atropine for binding mechanisms. Molecular docking simulations reveal strong binding affinity of both ATX-a and atropine to AChE, interacting effectively with specific amino acids in the binding site as potential inhibitors. Quantitative assessment using the MM-PBSA method demonstrates a significantly negative binding free energy of −81.659 kJ mol−1 for ATX-a, indicating robust binding, while atropine exhibits a stronger binding affinity with a free energy of −127.565 kJ mol−1. Umbrella sampling calculates the ΔG bind values to evaluate binding free energies, showing a favorable ΔG bind of −36.432 kJ mol−1 for ATX-a and a slightly lower value of −30.12 kJ mol−1 for atropine. This study reveals the dual functionality of ATX-a, acting as both a nicotinic acetylcholine receptor agonist and an AChE inhibitor. Remarkably, stable complexes form between ATX-a and atropine with AChE at its active site, exhibiting remarkable binding free energies. These findings provide valuable insights into the potential use of ATX-a and atropine as promising candidates for modulating AChE activity.","PeriodicalId":20207,"journal":{"name":"Physical biology","volume":null,"pages":null},"PeriodicalIF":2.0000,"publicationDate":"2023-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Physical biology","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1088/1478-3975/ad0caa","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Acetylcholinesterase (AChE) is crucial for the breakdown of acetylcholine to acetate and choline, while the inhibition of AChE by anatoxin-a (ATX-a) results in severe health complications. This study explores the structural characteristics of ATX-a and its interactions with AChE, comparing to the reference molecule atropine for binding mechanisms. Molecular docking simulations reveal strong binding affinity of both ATX-a and atropine to AChE, interacting effectively with specific amino acids in the binding site as potential inhibitors. Quantitative assessment using the MM-PBSA method demonstrates a significantly negative binding free energy of −81.659 kJ mol−1 for ATX-a, indicating robust binding, while atropine exhibits a stronger binding affinity with a free energy of −127.565 kJ mol−1. Umbrella sampling calculates the ΔG bind values to evaluate binding free energies, showing a favorable ΔG bind of −36.432 kJ mol−1 for ATX-a and a slightly lower value of −30.12 kJ mol−1 for atropine. This study reveals the dual functionality of ATX-a, acting as both a nicotinic acetylcholine receptor agonist and an AChE inhibitor. Remarkably, stable complexes form between ATX-a and atropine with AChE at its active site, exhibiting remarkable binding free energies. These findings provide valuable insights into the potential use of ATX-a and atropine as promising candidates for modulating AChE activity.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
利用多层次计算机模拟探索阿那托毒素a和阿托品与乙酰胆碱酯酶的结合预测。
乙酰胆碱酯酶(AChE)对乙酰胆碱分解为醋酸酯和胆碱至关重要,而乙酰胆碱酯酶被阿纳托毒素a (ATX-a)抑制会导致严重的健康并发症。本研究探讨了ATX-a的结构特征及其与AChE的相互作用,并与参考分子阿托品比较了其结合机制。分子对接模拟显示ATX-a和阿托品对AChE具有很强的结合亲和力,与结合位点的特定氨基酸作为潜在抑制剂有效相互作用。MM-PBSA法定量评价表明,ATX-a的结合自由能为-81.659 kJ/mol,具有较强的结合亲和力,而阿托品的结合自由能为-127.565 kJ/mol。 Umbrella抽样计算结合自由能ΔGbind值,结果表明ATX-a的结合自由能ΔGbind为-36.432 kJ/mol,阿托品的结合自由能略低,为-30.12 kJ/mol。这项研究揭示了ATX-a的双重功能,既可以作为烟碱乙酰胆碱受体(nAChRs)激动剂,也可以作为乙酰胆碱酯交换酶抑制剂。值得注意的是,ATX-a与阿托品之间形成稳定的配合物,其活性位点为AChE,表现出显著的结合自由能。这些发现为ATX-a和阿托品作为调节乙酰胆碱酯酶活性的有希望的候选药物的潜在应用提供了有价值的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Physical biology
Physical biology 生物-生物物理
CiteScore
4.20
自引率
0.00%
发文量
50
审稿时长
3 months
期刊介绍: Physical Biology publishes articles in the broad interdisciplinary field bridging biology with the physical sciences and engineering. This journal focuses on research in which quantitative approaches – experimental, theoretical and modeling – lead to new insights into biological systems at all scales of space and time, and all levels of organizational complexity. Physical Biology accepts contributions from a wide range of biological sub-fields, including topics such as: molecular biophysics, including single molecule studies, protein-protein and protein-DNA interactions subcellular structures, organelle dynamics, membranes, protein assemblies, chromosome structure intracellular processes, e.g. cytoskeleton dynamics, cellular transport, cell division systems biology, e.g. signaling, gene regulation and metabolic networks cells and their microenvironment, e.g. cell mechanics and motility, chemotaxis, extracellular matrix, biofilms cell-material interactions, e.g. biointerfaces, electrical stimulation and sensing, endocytosis cell-cell interactions, cell aggregates, organoids, tissues and organs developmental dynamics, including pattern formation and morphogenesis physical and evolutionary aspects of disease, e.g. cancer progression, amyloid formation neuronal systems, including information processing by networks, memory and learning population dynamics, ecology, and evolution collective action and emergence of collective phenomena.
期刊最新文献
A role of fear on diseased food web model with multiple functional response. Two fitness inference schemes compared using allele frequencies from 1,068,391 sequences sampled in the UK during the COVID-19 pandemic. Unraveling the role of exercise in cancer suppression: insights from a mathematical model. An exactly solvable model for RNA polymerase during the elongation stage. A theoretical framework for predicting the heterogeneous stiffness map of brain white matter tissue.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1