Introduction to mathematicaltheoretical biology - PowerPoint PPT Presentation

1 / 28
About This Presentation
Title:

Introduction to mathematicaltheoretical biology

Description:

Mathematical biology/biomathematics/ theoretical biology is an interdisciplinary ... provided impetus for progress in embryology, founded by the Estonian scientist ... – PowerPoint PPT presentation

Number of Views:233
Avg rating:3.0/5.0
Slides: 29
Provided by: pks4
Category:

less

Transcript and Presenter's Notes

Title: Introduction to mathematicaltheoretical biology


1
Introduction to mathematical/theoretical biology
  • Lutz Brusch
  • Andreas Deutsch
  • Anja Voss-Böhme

2
(No Transcript)
3
Overview
  • Goals
  • Definition what is mathematical/theoretical
    biology?
  • Modeling
  • History
  • Applications
  • Overview of lecture

4
Goals learn how...
  • to read mathematical modeling papers
  • to analyze mathematical models
  • to critically judge the assumptions and the
    contributions of mathematical models whenever
    you encounter them in your research
  • to develop a mathematical model, i.e. to choose
    an appropriate mathematical structure

5
What is mathematical biology?
  • Mathematical biology/biomathematics/ theoretical
    biology is an interdisciplinary field of academic
    study which models natural, biological processes
    using mathematical techniques. It has both
    practical and theoretical applications in
    biological research.
  • The strength of biomathematics lies in the
    quantification of specific values but also in
    the identification of common structures and
    patterns at different levels of biological
    organisation.

6
A first mathematical model rabbit population
growth
  • The original problem that Fibonacci investigated
    (in the year 1202) was about how fast rabbits
    could breed in ideal circumstances.
  • Suppose a newly-born pair of rabbits, one male,
    one female, are put in a field. Rabbits are able
    to mate at the age of one month so that at the
    end of its second month a female can produce
    another pair of rabbits. Suppose that our rabbits
    never die and that the female always produces one
    new pair (one male, one female) every month from
    the second month on. The puzzle that Fibonacci
    posed was...
  • How many pairs will there be in one year?

7
Solution
  • At the end of the first month, they mate, but
    there is still one only 1 pair.
  • At the end of the second month the female
    produces a new pair, so now there are 2 pairs of
    rabbits in the field.
  • At the end of the third month, the original
    female produces a second pair, making 3 pairs in
    all in the field.
  • At the end of the fourth month, the original
    female has produced yet another new pair, the
    female born two months ago produces her first
    pair also, making 5 pairs.

The number of pairs of rabbits in the field at
the start of each month is 1, 1, 2, 3, 5, 8, 13,
21, 34, ...
an1an an-1, with a1a2 1
Fibonacci numbers
8
Why is this interesting?
Fibonacci numbers appear e.g. in phyllotactic
patterns
9
(No Transcript)
10
Mathematical analysis
  • a proof is a demonstration that, given certain
    axioms, some statement of interest is necessarily
    true. Proofs employ logic but usually include
    some amount of natural language. Some common
    proof techniques are
  • Direct proof where the conclusion is established
    by logically combining the axioms, definitions
    and earlier theorems
  • Proof by induction where a base case is proved,
    and an induction rule used to prove an (often
    infinite) series of other cases
  • Proof by contradiction (also known as reductio ad
    absurdum) where it is shown that if some
    property were true, a logical contradiction
    occurs, hence the property must be false.
  • Proof by construction constructing a concrete
    example with a property to show that something
    having that property exists.
  • Proof by exhaustion where the conclusion is
    established by dividing it into a finite number
    of cases and proving each one separately
  • Example Proof that sqrt(2) is irrational

11
Simulations Game of life
The rules1. Survival, if living cell has 2 or
3 neighbours,2. Death, if living cell has less
than 2 or more than 3 neighbours , 3. Birth, if
dead cell has precisely 3 living neighbours.
Configuration
  • Simulation Game of Life

12
I. What are mathematical models good for?
  • Quantitative predictions(based on functional
    relationship)
  • Stability analysis, asymptotic behavior,...
  • Understanding of stochastic/deterministic effects

13
II. What are mathematical models good for?
  • Mathematical models can help to explain
    cooperative behavior

14
The roots...1. Biology
  • Biology term was introduced by Jean Baptiste de
    Lamarck (1744-1825) and Gottfried Reinhold
    Treviranus (see e.g. Biology, or philosophy of
    vital nature, G. R. Treviranus, 1802),
  • Cell the word cell was introduced in the 17th
    century by the English scientist Robert Hooke, it
    was not until 1839 that two Germans, Matthias
    Schleiden and Theodor Schwann, proved that the
    cell is the common structural unit of living
    things. The cell concept provided impetus for
    progress in embryology, founded by the Estonian
    scientist Karl Ernst von Baer

15
Status of biology end of 19th century
  • huge amounts of data (from expeditions into
    colonies and new observations (due to new
    physical and chemical techniques)
  • disciplines widely separated (zoology, botany,
    ...). Physiology (part of medical research) was
    trendy and cell biology had emerged as a central
    discipline (Max Verworn (1901) ...if physiology
    wants to explain the elementary and general
    processes of life, it can do so only as cellular
    physiology...)

16
Roots...2. Theoretical biology
  • A plant biologist (Johannes Reinke) introduced
    the concept/notion of theoretical biologyA
    theoretical biology has so far merely not yet
    been considered, at least not as a connected
    discipline (Reinke, 1901)...The task of a
    theoretical biology would be not only to find out
    the origins of biological events, but also to
    check the basic assumptions of our biological
    thinking

17
Roots 3. Further roots
  • Ludwig v. Bertalanffy Introduction to
    theoretical biology I and II, 1932, 1942
  • Early environmentalist Jakob v. Uexküll
    (1864-1944) Theoretische Biologie (1920),
    Umwelt-Innenwelt-Außenwelt
  • Physicist Nicolas Rashevsky Bulletin of
    mathematical biophysics (1934) (today Bulletin
    of Mathematical Biology, 1973)
  • Scientific foundation in Leiden 1935 Acta
    Biotheoretica

18
Journals
  • Biometry Biometrika (1901), Biometrics Bulletin
    (1945), Biometrical Journal (1959)
  • Acta Biotheoretica (1935)
  • Cybernetics Cybernetica (1958),...
  • Journal of Theoretical Biology (1961)
  • Mathematical Biosciences (1967)
  • Theoretical Population Biology (1970)
  • BioSystems (1972)

19
Journals cont.
  • Bulletin of Math. Biophys. (1939)?Bull. Math.
    Biol. (1973)
  • Journal of Mathematical Biology (1974)
  • Mathematical Medicine and Biology (1984)
  • Comments on Theor. Biol. (1989)
  • Journal of Biological Systems (1993)
  • Theorie in den Biowissenschaften (1996)

20
Roots ...4. Population genetics
  • The famous experiments of Mendel, and the
    fruitful communication between experimental
    biologists and applied mathematicians in the
    1930s, marked the beginnings of population
    genetics and were seminal for biomathematics. As
    early as 1896, the British professor K. Person
    applied the now standard statistical techniques
    of probability curves and regression lines to
    genetic data. This was seemingly the first proof
    of the existence of a mathematical law for
    biological events (1900). See also model examples
    later this lecture HARDY-WEINBERG LAW,
    FUNDAMENTAL THEOREM ON NATURAL SELECTION
  • William Bateson introduced the notion genetics
    for research on Mendelian heredity of characters
    (Cambridge, 1905)
  • William Johannsen introduced the notion gene
    as something in the gametes, by which the
    properties of the developing organism is or can
    be conditioned or co-determined (Copenhagen,
    1909)

21
Roots 5. What is life?
  • Oscar Hertwig (1900) Life is based on a peculiar
    organisation of material with which are connected
    again peculiar processes and functions, how they
    never can be found in non-living nature,...,with
    each of the infinite steps and forms of
    organisation there are produced new kinds of
    effects (Wirkungsweisen).
  • Remark early formulation of nowadays favored
    definition of life as a complicated adaptive,
    regulatory, dynamical system based on
    physico-chemical mechanisms.
  • E. Schrödinger What is life? (Dublin 1944)

22
Earth
Electron
-12
-6
-9
-3
0
3
6

Human
23
New disciplines
  • Biology (ca. 1800)
  • Theoretical biology (ca. 1900)
  • Cybernetics (N. Wiener, 1948) relations between
    machines and living nature
  • Bioinformatics (ca. 1970) information-technical
    techniques to store, analyze and display the
    information contents of biological systems, ...
  • System biology (H. Kitano, 2001)
    interdisciplinary approach focusing on a
    wholistic understanding of complex living systems
    based on an integration of biological data

24
Mathematical problems in biology examples
  • Ecology/ethology optimization of food search
  • Evolution evolutionary stable strategies,
    reconstruction of phylogenetic trees
  • Development embryological pattern formation
  • Epidemiology spread of infectious diseases
  • Molecular genetics coding and sequence alignment
  • Neurology contrast enhancement in neural
    networks
  • Physiology regulation of glucose level in the
    blood
  • Biotechnology fermenter control
  • .....

25
In this lecture focus on ...
  • How is the variety of biological forms, shapes
    and organisms created (development/genetics/evol
    ution)?
  • How are organismic activities maintained
    (physiology)?

26
Overview lecture
  • Introduction/history
  • Model examples
  • Difference and differential equations
  • Partial differential equations
  • Stochastic processes
  • Cellular automata

27
References
  • See website!

28
Model examples1. population growth
  • Exp./logistic growth
Write a Comment
User Comments (0)
About PowerShow.com