Study the Dynamic Behavior of the Enzyme-Substrate Reaction using Mathematical Modeling

Author:

Patel* Kaushal1,Kumawat Jyoti1ORCID

Affiliation:

1. Department of Mathematics, Veer Narmad South Gujarat University, Surat, India.

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.

Publisher

Oriental Scientific Publishing Company

Subject

Drug Discovery,Agronomy and Crop Science,Biotechnology

Reference25 articles.

1. 1. James K. and James S. Mathematical Physiology- cellular physiology. 2008; Vol 8/I, 1: 07-15.

2. 2. Bhatia K.N. and Tyagi M.P. Elementary Biology,A Trueman Publication, latest edition; Vol I: U3: 90 – 104.

3. 3. Rubinow S.I., Introduction to Mathematical Biology. Wiley, Newyork, 1975.

4. 4. Murray J.D., Mathematical Biology. Springer, Berlin, 1989.

5. 5. Segel L.A., Mathematical Models in Molecular and Cellular Biology. Cambridge University Press, Cambridge. 1980.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3