Computer modeling in biology

Author:

,Prylutskyy Yu.I.ORCID,Kosterin S.O.ORCID,

Abstract

The textbook was compiled in accordance with the curriculum of the “Computer modeling in biology” discipline for the preparation of Masters in Biology at the Educational and Scientific Center “Institute of Biology and Medicine” of Taras Shevchenko National University of Kyiv.The lecture material on the study of both basic and original models of biological processes described by point and distributed systems is systematized.The concepts of “model” and “modeling” are revealed, the classification of models and the general principles of their creation, the basis of the mathematical apparatus (theory of differential equations) necessary for the construction and analysis of dynamic models in biology are given.The possibilities of modeling in biology are illustrated by selected examples, in particular models of evolution and development, kinetics of enzymatic processes, population and self-organization.Stochastic models of biological processes are described.The usefulness of methods of empirical mathematical analysis of complex graphical dependencies in biological research is shown.Tasks of various types of complexity from various fields of biology are presented for independent work of students to successfully master the textbook’s educational material.Some algorithms of the “Mathematica” software, which will be needed for conducting a computer experiment on the study of models of living systems, are considered in detail. For students of biological and medical specialties of higher education institutions who study disciplines related to the modeling of biological processes of various nature.

Publisher

PH "Naukova Dumka"

Reference17 articles.

1. Allen, (2003). An Introduction to Stochastic Processes with Biology Applications. Prentice Hall, 2003.

2. Alligood,T., Sauer, T.D. & Yorke, J.A. Chaos. (1996). An introduction to dynamical systems. New York: Springer-Verlag.

3. Antoniouk A.V. & Melnik R.V.N. (2013). Mathematics and life sciences. Berlin; Boston: De Gruyter.

4. Arnez,M., Brebbia, C.A., Solina, F. & Stankovski, V. (2003). Simulations in Biomedicine. WITPress.

5. Barabasi A.-L. & Stanley H.E. (2009). Fractal concepts in surface growth. Cambridge University Press.

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