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109117
Protein folding
Beschreibung
Protein Form and Function (Protein folding/misfolding) Mindmap am Protein folding, erstellt von sophie_connor am 26/05/2013.
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protein folding/misfolding
protein form and function
protein form and function
protein folding/misfolding
Mindmap von
sophie_connor
, aktualisiert more than 1 year ago
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Erstellt von
sophie_connor
vor mehr als 11 Jahre
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Zusammenfassung der Ressource
Protein folding
Central dogma
DNA becomes RNA forming a sequence which folds to enable a protein to fulfill its function
Native structure of the protein fulfills its function
Must be in a cellular environment
A protein chain folds in a specific way
Secondary and tertiary structures
Sequence defines fold
Sequence determines 3D structure
From an amino acid sequence you could guess the fold
A small protein of 101 amino acids has 9^100 possible conformations
Protein fold defines function
Free energy of unfolding
DELTAG(D-N) = GD - GN
To measure the differences the process needs to be in equilibrium
The equilibrium needs to be disturbed and determine the fraction folded
Denaturant urea is best
Temperature can be used but the process may not be reversible
Can cause protein misfolding
A ribonuclease solution will break all disulphide bonds and denature the protein giving its polypeptide chain structure
Another solution can reverse this and it will go back to its folded structure
Environment is an important folding factor
Proteins are marginally stable
Stability of denatured and native states is due to sum of non-covalent interactions
Folding is thermodynamically controlled
Native state is thermodynamically stable
Folding must occur rapidly
Levinthal's paradox
Sequence tells you what structure is likely to be
Folding cannot occur by the protein trying every different conformation
Take too long!
Folding must occur by intermediates
Pathway is needed!
Proteins must fold via pathways
Cut down the number of conformations the protein needs to search in native state
Folding funnels
Consider the energy landscape of folding
If protein folding was random then the diagram would be flat with the same energy
Protein would eventually find native state and fall down the middle
Takes too long
Hierarchical protein folding mechanism
Simplifies the search for native state
Uncouples formation of secondary and tertiary structure
Framework model
Secondary structure is separated followed by the tertiary structure
Requires intermediates
Reduces size of conformational space a protein has to search through
Denatured state to begin
Intermediate
High energy state of molten globules
Much less stable and eventually ends up at low energy native state
Classical nucleation model
An element of secondary structure that nucleates the rest of the structure which allows formation of tertiary structure
Hydrophobic collapse model
All hydrophobic amino acids in the centre of the protein drive folding
Requires intermediates
All models rely on local interactions and sequence
Alternative view: no intermediates
Energy level is so high that you can't see the intermediate
CI2 (random protein)
Not necessary to have a stable intermediate
Protein goes straight from denatured to native state
Intermediates might slow folding
Intermediates may result in misfolding or an off pathway
No matter what state the protein is in, it will always fall back to the same native state as it is most energetically favorable
Folding funnels consist of lots of random highs and lows
Suggests possibility of multiple folding pathways
Bumps show that proteins could get stuck which could represent protein misfolding
Lysosyme
Small protein
Contains some disulphide bonds
Begins denatured and forms a collapsed state
There are a number of ways to get to the native state
Can be slow or fast pathway
Measuring protein folding and stability
Need to consider
How to monitor population of denatured and native
How to change populations of denatured and native
How to analyse results
Stability of protein is expressed as free energy of unfolding
Protein folding probes
In vitro assays in cuvette
In vivo assays under a microscope
Fluorescence will tell you about chromophores in protein
Can find buried or exposed amino acids in the protein
Unfolded state
Trp is exposed giving a particular fluorescence signal
Folded state
Trp is buried and gives different fluorescence signal
Emission spectra
Fix the excitation wavelength and scan the monochromator across fluorescence wavelengths
Unfolding proteins by denaturants
Urea most commonly used
GuHCL a much strong denaturing condition
Solvents increase the solubility of polar and non-polar side chains and stabilse the denatured state
Other denaturants
Temperature
pH
Salt
Pressure
Differences in protein folding between mutants
We know if a particular part of the molecule is important for folding
Mutate this part of protein and measure folding again
If free energy is different then we can tell the amino acid was important for protein folding
Experimental timeline and problems
To map folding reaction all states must be characterised
Mechanisms must also be characterised
Characterisation is often difficult
Dynamic, heterogenous, transient nature of non-native states
All possible states between denatured and native state must be investigated
Stable states are measured by equilibrium methods and protein engineering
Native state can use crystallography and NMR
Denatured state can be determined using NMR
Semi stable states must be trapped
Hydrogen/deuterium quench flow
Traps something as it's changing from denatured to native state
Sometimes conditions may be found where partly folded states can be observed by equilibrium methods
May not be relevant to pathway
Transient events can be followed by kinetic techniques
Stopped flow to follow protein folding
2 solutions A and B can be mixed together and monitored during a reaction
A solution fills stopping syringe, plunger hits a block causing flow to be stopped instantaneously
Using appropriate techniques, the kinetics of the reaction can be measured in the cell
Representing protein folding
Chevron plot
Shows protein folding kinetic data in varying denaturant concentrations
Shows protein folding and unfolding
Cm is the denaturation midpoint
Either side are the limbs
Linear limbs
Straight lines
Suggests a 2 state model
Non-linear limbs
Curving
Indicates a non-2 state model of folding/unfolding
Suggests an off pathways intermediate
Chevron/V-shaped kinetics curve
Proteins are denatured as all parts of the protein are more soluble
Free energy of transfer to denatured state is nearly linear with concentration of denatured protein
TS in an intermediate structure between denatured and native states
TS stabilised by denatured state with respect to native structure
TS destabilised with respect to denatured state
Structure of proteins TS for folding can be analysed by combining kinetic and equilbrium data
Produces a ratio called PHI value
Value obtained by normalising
Free energy from folding kinetics
Free energy from refolding kinetics
Free energy from equilibrium data
Denaturant lowers activation energy of denaturation and raises activation energy of folding
2 state model means intermediate is passed by quickly
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