用数学模型研究酶-底物反应的动态行为

Kaushal Patel*, Jyoti Kumawat
{"title":"用数学模型研究酶-底物反应的动态行为","authors":"Kaushal Patel*, Jyoti Kumawat","doi":"10.13005/bbra/3155","DOIUrl":null,"url":null,"abstract":"ABSTRACT: Physiological reaction plays a vital role in the human body. These reactions are analysed through Enzyme kinetics using a Mathematical model which helps to predict how enzymes behave in living organisms. However, many factors affect the working mechanism of biocatalysts (Enzymes). Chemical denaturant creates high disruption to the structure of enzyme with time. The determination of enzyme activities with time delivers information on enzyme parameters. Here the analysis aims to mathematical study for the development of Enzyme - substrates reaction for product formation based on time. So we formulate the model as a system of nonlinear differential equations which predicts the behaviour of product formation based on Enzyme- Substrate reaction parameters. Compute the threshold value for studying the enzyme effectiveness, complexity, and other parameters for the substrate product. Study the stability analysis for the ideal product formation and hence derive asymptotically stable solutions for the Enzyme- Substrate model with numerical simulation.","PeriodicalId":9032,"journal":{"name":"Biosciences, Biotechnology Research Asia","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Study the Dynamic Behavior of the Enzyme-Substrate Reaction using Mathematical Modeling\",\"authors\":\"Kaushal Patel*, Jyoti Kumawat\",\"doi\":\"10.13005/bbra/3155\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ABSTRACT: Physiological reaction plays a vital role in the human body. These reactions are analysed through Enzyme kinetics using a Mathematical model which helps to predict how enzymes behave in living organisms. However, many factors affect the working mechanism of biocatalysts (Enzymes). Chemical denaturant creates high disruption to the structure of enzyme with time. The determination of enzyme activities with time delivers information on enzyme parameters. Here the analysis aims to mathematical study for the development of Enzyme - substrates reaction for product formation based on time. So we formulate the model as a system of nonlinear differential equations which predicts the behaviour of product formation based on Enzyme- Substrate reaction parameters. Compute the threshold value for studying the enzyme effectiveness, complexity, and other parameters for the substrate product. Study the stability analysis for the ideal product formation and hence derive asymptotically stable solutions for the Enzyme- Substrate model with numerical simulation.\",\"PeriodicalId\":9032,\"journal\":{\"name\":\"Biosciences, Biotechnology Research Asia\",\"volume\":\"31 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-10-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Biosciences, Biotechnology Research Asia\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.13005/bbra/3155\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biosciences, Biotechnology Research Asia","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.13005/bbra/3155","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

摘要:生理反应在人体中起着至关重要的作用。这些反应是通过酶动力学使用数学模型来分析的,该模型有助于预测酶在生物体中的行为。然而,许多因素影响着生物催化剂(酶)的工作机制。随着时间的推移,化学变性剂对酶的结构造成高度破坏。测定酶的活性随时间的变化可提供有关酶参数的信息。本文的分析目的是对酶-底物反应的发展进行基于时间的产物生成的数学研究。因此,我们将该模型表述为一个非线性微分方程组,该方程组根据酶-底物反应参数预测产物形成的行为。计算研究底物产物的酶效、复杂性和其他参数的阈值。研究了理想产物形成的稳定性分析,从而用数值模拟方法推导出酶-底物模型的渐近稳定解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Study the Dynamic Behavior of the Enzyme-Substrate Reaction using Mathematical Modeling
ABSTRACT: Physiological reaction plays a vital role in the human body. These reactions are analysed through Enzyme kinetics using a Mathematical model which helps to predict how enzymes behave in living organisms. However, many factors affect the working mechanism of biocatalysts (Enzymes). Chemical denaturant creates high disruption to the structure of enzyme with time. The determination of enzyme activities with time delivers information on enzyme parameters. Here the analysis aims to mathematical study for the development of Enzyme - substrates reaction for product formation based on time. So we formulate the model as a system of nonlinear differential equations which predicts the behaviour of product formation based on Enzyme- Substrate reaction parameters. Compute the threshold value for studying the enzyme effectiveness, complexity, and other parameters for the substrate product. Study the stability analysis for the ideal product formation and hence derive asymptotically stable solutions for the Enzyme- Substrate model with numerical simulation.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Immobilization of Bee Pollen Extract on Polyethylene Terephthalate (PET) Fabric for Wound Dressing Inauguration the Enigma: Ralstonia mannitolilytica Septicemia - Clinical Journey, Multidimensional Investigation, and Paradigm- Shifting Research Insights Identification and Assessment of Non-Genetic Factors Contributing to Nephrolithiasis (Kidney Stone) in the Jammu Region Screening of Phytochemicals from Derris indica for Antimycobacterial Potential using Molecular Docking Analysis A Study on Plant Diversity of Iringole Kavu, Ernakulam, Kerala State
×
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