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An Automated Protein Sequence to Protein iNteraction Generator

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Proteins What are they? Little machines' that carry out small ... Make it work on a supercomputer. Conclusions. Drug development better understand organisms ... – PowerPoint PPT presentation

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Title: An Automated Protein Sequence to Protein iNteraction Generator


1
  • An Automated Protein Sequence to Protein
    iNteraction Generator
  • it does Things with Stuff.
  • UNR Center for Bioinformatics
  • Advisor Brian Beck

2
Proteins What are they?
  • Little machines that carry out small tasks
    (functions)
  • Many work together iNteract
  • These small tasks add to large tasks
  • Digestion
  • Blood pressure
  • Everything
  • Staying alive

3
Imagine a Car
  • Many little pieces (proteins) that each do a
    small task
  • Rotate lever
  • Turn that other thing-a-ma-bob
  • All work together iNteract to do a larger task
  • Drive the car
  • Mechanic vs. Scientist

4
Now an organism So many interactions!
5
Interactionsand Logic
  • If we know how and/or if a group of proteins
    interacthelps us figure out what task is going
    on
  • If we know all of these little tasks, we begin to
    understand how an organism works gtresearchers
    main goal 1
  • If we know how it all works, we can change the
    organism by changing some proteins function
  • A.K.A Drug Development gt researchers main goal
    2
  • Modify a part in your car to make it work better

6
AutomN Background
  • AutomN
  • Is software ( new methods)
  • Speeds up research (automatic point and click)
  • Make it easy as possible so almost anyone can use
    it
  • Solve computer nightmares file formats! Aghhh!
  • Is easy to change (no programming necessary)
  • Is extensible not just for proteins
  • Main Research goals for this class
  • Take a set of proteins in any computer format and
    see if / how they interact only using a computer

7
Future Work
  • Expand AutomN to do computations on things other
    than proteins
  • More support for other computer types
  • Debug! Debug! Debug!
  • Make it run parts of itself on other computers
  • Make it work on a supercomputer

8
Conclusions
  • Drug development better understand organisms
  • Cut research time
  • Easy to use ? good teaching tool
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