1.2 Protein folding Flashcards

1
Q

What are the protein folding models for small proteins?

A
  • Golf course model
  • Pathway model
  • Funnel model (most recent - best)
    GFP
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2
Q

Explain golf course protein folding model, its pros and cons

A
  • the flat surface shows all the alrternative folding pathways which can be taken to reach the low E stable point (folded protein)

CONS (earliest model):
- protein folding is REVERSIBLE - much E needed to climb back into flat surface -> unlikely model
- the flat surface suggest random searching for the lowest E folding - process would be too long -> unlikely model

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3
Q

Explain pathway protein folding model, its pros and cons

A
  • the starting protein already has lower E point A - the ‘valley’ (defined pathway) directs folding in higher thermodynamic stabilisation towards lowest E point - provides many metastable states

CONS (second model):
- folding is less random than in golf course model because the ‘valley’ speeds up the search of lowest E folding BUT proteins don’t have one defined primary structure (point A) -> unlikely model

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4
Q

What is metastable state?

A

Short lived stable state (higher in E than stable state - stable not for long)

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5
Q

Explain funnel protein folding model, its pros and cons

A
  • the unfolded protein has many possible folding pathways but the folding is directed under kinetic control into the lowest E point - the stable state
  • the unfolding process would need less E as the landscape change is consistent (no steep angles as in golf course model) -> currently accepted model for small proteins
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6
Q

What determines the point the protein reaches on the energy landscape models?

A

The number of stabilising interactions the protein has formed at a particular point: the more interactions - the more stable - the further folded protein - the lower E point on the landscape

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7
Q

Explain rugged landscape protein folding model, its pros and cons

A
  • rugged landscape suggests E barriers in folding - not as random
  • too many pathways are possible than in reality?? idk explore further this model
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8
Q

What are the protein folding models for larger proteins?

A
  • Rugged landscape model
  • Moat landscape model
  • Champagne glass landscape model
    MCR
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9
Q

Explain moat landscape protein folding model, its pros and cons

A
  • suggests different starting positions for folding a single protein
  • suggests different folding pathways for a single protein which differ energetically
  • ?? explore further this model
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10
Q

Explain champagne glass protein folding model, its pros and cons

A
  • suggests many possible pathways - yet all are energetically identical
  • suggests metastable states (stair like decrease in E) of semi-folded protein
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11
Q

What causes protein misfolding?

A
  • gene mutations - change in am. a. - change in interactions - different folding
  • translational errors
  • post-translational modification errors
  • prions - induce misfolding
  • random misfolding (due to chance)
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12
Q

What is caused by protein misfolding?

A

Protein misfolding causes misfunction -> disease
Ex: Huntington’s disease, Parkinson’s disease

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13
Q

Example diseases caused by protein misfolding

A
  • Huntington’s disease (gene mutation -> extended CAG repeats -> misfolding -> protein misfunction)
  • Parkinson’s disease (gene mutation -> misfold into α-synuclein fibrils (almost dimeric structures) with hydrophobic parts -> misfoled protein due to new interactions)
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14
Q

What are prions?

A

Prions - abnormal proteins which cause other proteins to misfold

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15
Q

How does Gibbs free energy of the system change in protein folding?f

A

ΔG is negative - spontaneous reaction - for thermodynamically favourable protein folding TΔS > ΔH (from ΔG = ΔH - TΔS)

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16
Q

Explain Ramachandran plots

A

Samples on plots allow to predict secondary protein structure of a particular am. a. based on φ and ψ angles of am. a.of polypeptide chain
https://www.youtube.com/watch?v=aO0l1PReGo0

17
Q

How does entropy of the system change in protein folding?

A

Entropy (S) is a measure of disorder, so in protein folding disorder should decrease HOWEVER entropy after folding can also increase depending on bond rotation + increased entropy of water

18
Q

Which thermodynamic equation must be followed in protein folding?

A

ΔG = ΔH - TΔS where ΔG < 0

19
Q

Why does entropy of water increase in protein folding?

A

When proteins fold they create hydrophobic effect - in folding hydrophobic area interacting with water reduces (hydrophobic fold interacts with another hydrophobic fold) - increase in entropy of water -> net gain in netropy in the system

20
Q

What is hydrophobic effect?

A

Hydrophobic effect - the tendency for hydrophobic molecules to isolate themselves from contact with water - water less ordered - increase in ΔS of the system => MAIN DRIVING FORCE OF PROTEIN FOLDING

21
Q

Explain the energy changes in protein folding, what interactions lead to changes in Gibbs free E

A
22
Q

Explain what adds up to each component of ΔG = ΔH - TΔS

A

+ bond rotation at ΔS

23
Q

How are planes aligned in alpha helices and beta sheets?

A
24
Q

What are the types of non-covalent interactions?

A
25
Q

Whatare psi, phi and omega bonds in proteins?

A

Psi (Ψ) - left to α carbon
Phi (Φ) - right to α carbon
Omega (Ω) - at β C=O carbon between C and N