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Using Bioinformatics to Make the Bio-Math Connection

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Title: Using Bioinformatics to Make the Bio-Math Connection


1
Using Bioinformatics to Make the Bio-Math
Connection
  • The Confessions of a Biology Teacher

2
Math? In a Biology Classroom?
I know what you are thinking, and Ive just
written an algorithm that proves it is very
effective.
3
  • "Complex assemblies of interacting proteins
    carry out most of the interesting jobs in a cell,
    such as metabolism, DNA synthesis, movement and
    information processing. These physiological
    properties play out as a subtle molecular dance,
    choreographed by underlying regulatory networks.
    To understand this dance, a new breed of
    theoretical molecular biologists reproduces these
    networks in computers and in the mathematical
    language of dynamical systems." (From "Network
    dynamics and cell physiology", by Tyson, Chen,
    and Novak, Nature Reviews in Molecular Cell
    Biology, 2001.).

4
bioinformatics
The use of mathematical and informational
techniques to solve biological problems by using
computer programs. One of the main applications
of bioinformatics is the data mining in and
analysis of the data gathered in genome projects.
Other applications are amino acid and nucleic
acid sequence alignment, protein structure
prediction, and virtual evolution.
5
Biology Student Workbench
  • revolutionary web-based tool
  • allows biologists to search protein and DNA
    databases around the world
  • integrated with access to a wide variety of
    analysis and modeling tools, all within a point
    and click interface.

6
Outcomes and Observations
  • Integration of bioinformatics into the high
    school classroom using inquiry methods was
    successful.
  • Students were able to use the tools to generate
    real data, but more importantly were able to
    apply these applications and independently
    problem solve.
  • Students showed a greatly increased ability to
    make connections between units of study protein
    structure, protein function, nucleic acids,
    genetics, genetic disease, and evolution.

7
Student Interface to the Biology Workbench (BSW)
  • alternative interface to the Biology Workbench
    orientated towards interactive teaching and
    learning

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12
BLASTN MATH
  • Aligns the original strand with other strands

AGCGT -CAGT AGCGT C-AGT AGCGT CA-GT AGCGT CAG-T
AGCGT CAGT- AGCG-T C--AGT -AGCGT C--AGT AGC-GT --CAGT
  • Numerous possibilities exist, but which
    alignment is the best?
  • A scoring criterion must be devised to
    evaluate the quality of an alignment.
  • For example, the alignment may be scored based
    on the following criterion
  • 2 for each alignment of matched letters
  • -1 for each alignment of mismatched letters
  • -2 for each alignment of a letter with a gap

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Protein Tools
  • May also do protein searchesNdjinn
  • May look for similar proteinsBLASTP
  • Protein tools are more reliable for looking at
    evolutionary relationships

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Clustal Distance Matrix
  • (1) (2) (3) (4) (5)
    (6)
  • (1) 0.000 0.000 0.007 0.000 0.021 0.028
  • (2) 0.000 0.000 0.007 0.000 0.021 0.028
  • (3) 0.007 0.007 0.000 0.007 0.028 0.035
  • (4) 0.000 0.000 0.007 0.000 0.021 0.028
  • (5) 0.021 0.021 0.028 0.021 0.000 0.028
  • (6) 0.028 0.028 0.035 0.028 0.028 0.000

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Rooted Tree
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Unrooted Tree
31
Graph Theory
  • A connected graph without a cycle is a tree.

http//people.hofstra.edu/geotrans/eng/ch2en/meth2
en/ch2m1en.html
32
Biology Uses
  • Find compare DNA sequences
  • Translate DNA into an amino acid sequence
  • Find compare protein sequences
  • Look at evolutionary relationships
  • Draw trees

33
Math Uses
  • Alignments
  • Matrixes
  • Graphs
  • Combinatorics

34
  • "The slippery gooiness of biology is a
    consequence of its incredible complexity,
    consisting as it does of complex systems based
    upon chemistry. And chemistry obeys the rules of
    physics, which exists because of, and is
    consequently best described by, mathematics."
    (From the Mathematics in Biology page at
    Brandeis.)
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