Enzymology P2 Flashcards

1
Q

What is rational protein engineering?

A

Synthesis - new enzymes, designer proteins, new proteins, improved enzymes and engineered antibodies (e.g. to fight cancer cells)
Initially worked well, but subsequent injections lead to a immune response fighting the antibodies (as they were foreign)

Analysis - to understand enzyme function, recognition and structure/activity relationships

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2
Q

How can we ‘improve’ enzymes?

A

Improve thermostability, pH optimum and substrate specificity etc…
This depends on what we define as ‘improved’ conditions

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3
Q

How can we assess an improved enzyme?

A

Assess substrate specificity:
Substitute Kcat into Michealis Menten equation
v = Kcat[E][S]/(Km + [S])

At equal [E] when [A]=[B]
(Va/Vb) = (Kcat/Km)a / (Kcat/Km)b
The ratio will tell us how well the enzyme is working to see if we have improved the enzyme

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4
Q

Describe an early example of enzyme engineering?

A

Engineered Trypsin: normally cleaves next to a lysine, but now cleaves a glutamate
This new enzyme didn’t have any activity
Therefore it is much easier to destroy activity than it is to create activity

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5
Q

How would we engineer an enzyme - give an example?

A

In order to engineer an enzyme we need to understand everything about the enzyme

Example: Lactate dehydrogenase
We want to change the substrate pyruvate to oxaloacetate so the dehydrogenase works with that instead of pyruvate
New substrate is bigger and more negative

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6
Q

What factors did Prof JJ Holbrook in Bristol look at to engineer an enzyme?

A

Overall active site charge balance
Influence of substrate and active site volumes
Direct electrostatic complementarity

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7
Q

Describe alteration of LDH in relation to: overall active site charge balance?

A

This charge balance is just in the active site

They chose 2 mutations:
Asp197 to Asn - charge buried in protein
Greater change

Glu107 to Gln - charge exposed to solvent
Limited change

To see if any change were made we can plot Log Kcat/Km of the substrates
Effect is more pronounced if charge is buried

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8
Q

Describe alteration of LDH in relation to: influence of substrate and active site volumes?

A

Thr246 to Glycine - T246G
This leads to a bigger active site
This gave a switch in specificity from pyruvate to oxaloacetate
The active site is now too big for pyruvate - therefore can allow water molecules in also, interrupting the mechanism

Didn’t make a huge overall difference

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9
Q

Describe alteration of LDH in relation to: direct electrostatic complementarity?

A

Gln102 to Arg - Q102R

This is very successful - increases specificity for oxaloacetate 10^6 = 10^3 increase
Now pyruvate is 10^3 specificity which is a 10^4 decrease

Direct electrostatic complementarity is most important

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10
Q

How do we make alterations of LDH away from a natural substrate?

A

Branched substrates for LDH don’t function well at all
We need to introduce more flexible space into active site

We do this by trying to make the JAW and loop more flexible and hydrophobic e.g.
More flexible - A235G, A236G
More hydrophobic - Q102M, K103V, P105S
Or do both

We find that engineering proteins we can’t just do a single amino acid swap - we need combinations of mutations
= synergistic mutations

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11
Q

How else can we alter an enzyme’s function if not interaction with substrate?

A

We can alter the interaction with the co-factor

e.g. Glutathione reductase and NADPH

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12
Q

Describe glutathione reductase?

A

This catalyses the redox of glutathione
This reduces the di-sulfide bond = reduced glutathione
This is being used as an example as we are engineering the specificity of the cofactor

Dimeric enzyme
Contains FAD
Contains a redox active disulphide bridge

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13
Q

What is the mechanism of glutathione reductase?

A

NADPH binds in the active site next to the FAD
FAD effectively divides the active site into two parts
One has the redox active site where glutathione binds and the other where NADPH binds

The electrons in the charge transfer complex can be used to reform the disulphide bridge

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14
Q

How/why are we focusing on changing the NADPH cofactor affinity?

A

The only difference between NADH and NADPH is a phosphate group

The active site/pocket for NADP+ is formed with 2 Arginine residues (very positive)
They electrostatically bind the negative phosphate
The pocket is even more positive as it contains His and Lys relatively close to the active site surface

We may want to change the enzymes cofactor as for example NADH is a lot cheaper than using NADPH

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15
Q

How can we approach altering cofactor activity in glutathione reductase?

A

As we are dealing with a cofactor there are a lot of enzymes that bind NADPH
We can take a more bioinformatic approach

Positive pocket for NADPH
Conserved motifs

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16
Q

Describe alteration of glutathione reductase in relation to: the positive pocket for the cofactor?

A

Alter the postive amino acid residues from arginine to leucine and methionine

We knocked out the NADPH activity but didn’t increase NADH activity - destroyed activity

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17
Q

Describe alteration of glutathione reductase in relation to: conserved motifs?

A

NADH/NADPH amino acid residues are highly conserved across organisms
It seems they had a pattern
NADPH
GxGxxAxxxA

NADH
GxGxxGxxxG

Therefore altering alanine to glycine
After many synergistic changes - this increased the activity of NADH greatly

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18
Q

How can we measure the switch in specificity?

A

(Kcat/Km)desired / (Kcat/Km)natural

Mutant/Wild type
The equation above on both lines

For glutathione reductase alterations = 17,700 fold specificity change

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19
Q

Describe the changes from the original motif of glutathione reductase to the mutated motif?

A

We mutate Ala179 to glycine
The methyl group can move out of the way so the 175 residue swings around making more room for the glutamine residue at 197 to making interaction with the 2 OH’s rather than with the phosphate on the NADPH

20
Q

How could we design an enzyme from scratch?

A

There would be significant difficulties – the protein folding problem
We could use pre-existing protein scaffolds and build in activity
Effectively based on Transition State Theory – we know that the transition state is bound the best

Computational enzyme design
Catalytic approach

Could do both to see if the outcome has the desired activity

21
Q

Describe the computational enzyme design approach?

A

Design in 3D the require transition state - on the computer
Design in 3D a complementary active site - on the computer
= theozyme (theoretical enzyme)

Find structures that match shape, with residues in the position of R1, R2 and R3 in the correct orientation around the transition state
There could be hundreds of structures
Optimise amino acid side chains to be complementary to transition state

22
Q

Describe the catalytic antibody approach?

A

Make an analogue of the transition state - antibodies raised against and this will bind the transition state and should be catalytically active

23
Q

What is directed evolution in relation to natural evolution?

A

Natural evolution: Random genetic mutations occur within the DNA of an organism and useful mutations are retained as they enhance survival

Directed evolution mimics natural evolution but at the level of a single gene in the laboratory, to create mutated genes that can selected for their improved properties (usually due to the better protein/enzyme encoded)

Both involve the introduction of RANDOM mutations and the selection of improvements

24
Q

How does the sequence space affect directed evolution?

A

If we created all protein combinations from a tiny 60 aa sequence - the weight would be X10^30 larger than the earth

Therefore we use ‘sparse sampling’ used in directed evolution experiments
We use a 1.5ml tube
This samples a very small part of the complete library, but with enough diversity to select interesting proteins

25
What is the usefulness of directed evolution?
Improve protein properties or identify new functions e.g. pH thermal and/or stability pH and/or temperature optima binding properties - altered Km for substrate(s) catalytic properties - enhanced Kcat selection of altered fluorescence properties selection of new binding proteins
26
What is the iterative cycle of directed evolution?
Take the gene(s) - don't need to know anything about it, as we are just looking for mutants Introduce diversity - SM, EP-PCR, DNA shuffling, Family DNA shuffling, StEP, RACHITT, ITCHY, ADP, SCHEMA Express many variants in a suitable host (E.coli) Identify suitable variants - chromogenic/fluorogenic substrates, coupled enzyme assays, IVC, Surrogate substrates, growth selections Repeat Until - final improved enzyme is found
27
How does directed evolution work?
We have to be able to physically have the code of the gene for the random variant we selected in order to move onto the next cycle = phenotype-genotype link Phenotype-Genotype link – need to be able to recover the DNA encoding the improved protein Introduce random mutations into the DNA so do not need to decide what mutations to make Error-prone PCR, DNA shuffling Create a library in which each gene copy contains a few mutations Set up a way of screening or selecting improved proteins encoded by the library
28
How do we establish a phenotype/genotype link?
In vivo - cell transfection Most common is to use a cell - as it contains nucleic acid we have manipulated and it expresses the protein This restricts the library size to 10^10 due to transfection efficiency In vitro - no transfection step = larger libraries 10^14 Technically demanding The coding sequence must be trapped in a complex with the protein that it encodes
29
What are some different ways to establish phenotype-genotype links?
Phage link Yeast or bacterial cell Add a plasmid containing out gene - this cell expresses the protein Or the plasmid can be encoded so the proteins are displayed on cell surface Ribosome display Technically demanding method Stall the complex where the ribosome doesn't fall of the expressed protein - has a peptide linked between the two mRNA The stalled ribosome has made this, forming an artificial covalent link between the peptide and mRNA Also very technically demanding - very highly levels of variants Cis-DNA Oil/water droplets
30
Describe the phenotype-genotype link of oil/water droplets?
if we take a water solution containing DNA and a cell extract The DNA can be made into mRNA and proteins - as the water solution will take the DNA to make proteins If we put the water solution into oil we get drops of water within the emulsion Each drop can be modified so it only contains one molecule of water - where each drop contains one DNA molecule and therefore one protein They can work at very high rates - 1000 sec-1
31
Describe the phenotype-genotype link of phage display?
Using a bacteriophage - most common M13 M13 - single strand DNA genome, including any inserted coding region, is packaged in the phage particle It is encoded by proteins forming a coat Proteins can be expressed as translational fusions to coat proteins We can encode our proteins that we want to express into these coats - displayed on the coat major coat protein gp8; 50aa, 3,000 copies – good for peptides minor coat protein gp3; 406aa; 5 copies – good for proteins
32
How do we introduce diversity into the protein?
Error prone PCR DNA shuffling Family shuffling
33
Describe error prone PCR?
``` Reduce PCR fidelity Increased conc. Taq, MgCl2 Increased extension time Altered nucleotide concentration dATP & dGTP 0.2mM dCTP & dTTP 1mM ``` We WANT to make mistakes to force the copying process to make more mutagens Mutazyme II is a blend of Mutazyme I DNA polymerase and a novel Taq DNA polymerase mutant that exhibits increased mis-insertion and misextension frequencies The single amino acid changes are limited to 5 other amino acids + stop codon = limited by codon usage
34
Describe DNA shuffling?
Error prone PCR is combined with a recombinant method = DNA shuffling From Error prone PCR - produce fragments (using sonication/DNase) Denature them and use a PCR like reaction to anneal and extend through self-priming The sequence is then very shuffled/mixed up Population variation through recombination
35
Describe family shuffling?
DNA shuffling of a FAMILY of sequences should recombine these to generate new variants A high proportion of the products should be functional (folded, stable, display activity) Inactive variants will still exist but should be minority Example - used for biological washing powder methods (serine proteases)
36
What is the first law of directed evolution?
You get what you screen for | In practice we can select or screen
37
Describe selection?
Selection is ideal if a survival phenotype is associated with protein e.g. Growth v no growth in antibiotic resistance We grow the library to see this - if they live they have the enzyme we are looking for But it can be difficult to devise a live/dead selection for many proteins that we might want to evolve It can be used if there is an obvious phenotype in a plate assay = coloured products or a coupled assay of an enzyme with another enzyme system that produces a colour If nothing obvious available we have to screen
38
Describe screening?
Many proteins have no obvious phenotype for bacterial growth or colour formation in a plate based assay Need to screen individual clones for activity; 10^3 -10^5 Need to be careful not to over-mutate - most clones should show activity Enhanced throughput by using robotics but still limited to numbers that can be screened and expense Very inefficient and expensive if most variants are inactive/unfolded so need to ensure relatively low mutation rate often 1-3 aa per gene Has driven the need to generate smaller more focused libraries
39
Describe directed evolution of fungal peroxidase?
Used error prone PCR to mutate the WT gene 2 clones with improved residual activity T34A, S198T, E239G I195V, E239V Higher residual activity by mutating E239 Even after solving the 3D structure this would not have been identified without a random mutagenesis/screen strategy
40
Describe direction evolution of the GFP protein?
It is useful to have different colours of the protein We can do directed evolution with GFP All we have to do is look at the fluorescence of the bacterial colonies
41
How do we tackle using a reduced sequence space?
CASTing - (Combinatorial Active site Saturation Testing) We take 'groups' of the wild type and screen them We then take the best of the group and then repeat - screening further This isn't perfect as some may need certain combinations that we didn't try in the initial stages
42
What element other than substrate binding can affect directed evolution?
Stereoisomers Different stereo-isomers have different biological effects e.g. Different smell We want to use directed evolution to change the stereochemistry within the active site - this is hard as it is only slightly altering the shape We can use directed evolution as we don't need to understand it fully Enantiomers = mirror images If we have 2 or more 'chiral' centers = diastereoisomers
43
Describe how we carry out genetic selection of enantioselective variants?
Through 6 generations of directed evolution we can see an increase in preference to a certain enantiomer - altering an amino acid residue each time (mutation) The first mutation is maintained for the 2nd generation, and each mutation after contains the previous mutation as that type is better - we are trying to improve This was through error-prone PCR They went back through and looked at the combinations of mutations to see if there was a better mutation to a different amino acid - saturation mutagenesis After taking a better mutation - they took this type and did an error PCR to find an even better mutation for a larger 'E' We end up taking a path but there could have been other/better mutations However, the route we go through can't be controlled but it affects what we get at the end - as some mutations wouldn't have been found if it wasn't for the path we took
44
How do we measure the preference towards an enantiomer?
E (selectivity factor) - if the number is 1 it would favour the 2 enantiomers equally Drawback - not selecting for the real compound we want We are selecting an analogue
45
What are some other factors that stereochemistry can affect?
Th stereochemical outcome can determine: By which enantiomer was used AND By which reaction mechanism is used Trying to do directed evolution to change these chemical processes - even harder
46
What can we compare when looking at preference to which enantiomer was used?
We can see the different energy levels in two products Therefore we can get a thermodynamic ratio of the products - we can't change this The kinetic ratio - we can alter to change the 'barrier' so more of that product is made
47
What does directed evolution with stereoisomers start to overlap with?
Computational methods E.g. Determine a visual landscape of how the reaction moves along We can see structures that will move along the minimum energy pathway (not up hill)