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Project Prion: Evolution and Structural Connections

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Title: Project Prion: Evolution and Structural Connections


1
Project Prion Evolution and Structural
Connections
MDG5101 Group 2
2
Historical Background
  • The earliest record dates from several centuries
    ago, when scrapie was first observed in sheep
  • In 1972, Tikvah Alper was the first to suggest
    the agent of scrapie might replicate without
    nucleic acid
  • And in 1982, Stanley Prusiner coined the term
    prion (pree-on)

3
What is prion?
  • A prion has been defined as "small proteinaceous
    infectious particles which resist inactivation by
    procedures that modify nucleic acids".
  • ------ Prion Diseases Just as nucleic acids can
    carry out enzymatic reactions, proteins
    can be genes.   Reed Wickner.
    Microbiology _at_
    Leicester Virology Prions

4
Prion conformations
  • http//users.rcn.com/jkimball.ma.ultranet/BiologyP
    ages/P/Prions.html

5
Classification
6
Spongiform Encephalopathies
7
Usefulness of Bioinformatics
  • Prion diseases, e.g. CJD, can take on different
    forms
  • due to specific mutations in the primary amino
    acid sequence
  • Protein functions dependent on Tertiary or
    Quaternary Structure
  • Mutations can lead to a change in 3D structure
  • ? could change protein function

8
Usefulness of Bioinformatics
  • Various 3D protein visualization tools available
  • RasMol, CHIME, MAGE, DeepView, etc
  • Used to predict 3D structures of proteins
  • Enable us to compare structures of various
    mutated forms of human PrP
  • Allows us to visualize the change in protein
    structures caused by different mutations

9
Our Bioinformatics Approach
  • Searching
  • Visualising
  • Validating
  • Predicting

10
Searching
11
Searching
12
Searching for Structures
  • Most commonly used protein databases
  • RCSB PDB
  • NCBI Entrez Structure
  • Search query human prion

13
Visualizing
  • RasMol
  • DeepView
  • CN3D
  • Features Vs Learning Curve

14
Visualizing Human PrPc
RasMol
DeepView
CN3D
15
Validating
  • Make point mutations, using DeepView, on the
    human PrPc
  • But how accurate will our model be in simulating
    mutation and predicting its effects?

16
Validating
Variants of PrP found in Creutzfeldt-Jakob
Disease (CJD)
17
Validating
Solution Structure of the E200K Variant of Human
PrP (NMR spectroscopy)
  • The only major consequence of the mutation is the
    change of surface electrostatic potential. (red
    -, blue )

Backbone tertiary structure is nearly identical.
  • This change may disturb the interaction of PrP
    with auxiliary proteins/chaperones or cellular
    membranes.
  • This may cause a spontaneous PrPc to PrPsc
    conversion in the E200K form of hereditary prion
    disease.

Zhang Y, et al.J. Biol. Chem. 27533650-33654(2000
).
18
Validating Backbone Structure
E200K
19
Validating Electrostatic Potential
red - blue
E200K
20
Exception
  • Variant V203I created
  • No difference in electrostatic potential
    distribution after mutation
  • Mutation may cause change in H-bond distribution

21
Exception (Electrostatic Potential)
red - blue
V203I
22
Exception (H-bonds)
E200K
23
Predicting
  • Does point mutation(s) really affect conformation
    of the prion?
  • Key factors for protein folding
  • H-bonds
  • Surface Electrostatic Potential

24
Predicting backbone structure and H-bond
distribution
E200K E196K V203I E211Q
25
Predicting surface electrostatic potential
distribution
red - blue
E200K E196K V203I E211Q
26
Predicting CJD PrPc Model
  • How will the CJD PrPc protein structure look like
    after mutations?

27
CJD PrPc Model (Backbone structure and H-bonds)
28
CJD PrPc Model(Electrostatic Potential)
red - blue
29
Conclusion
  • Mutations can lead to changes in distributions in
    H-bonds and electrostatic potential
  • Changes may increase the PrPcs susceptibility to
    conformational change towards PrPsc
  • Bioinformatics is definitely a useful and
    essential tool for visualising, predicting and
    understanding protein structures

30
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