Protein engineering Flashcards

1
Q

protein engineering uses

A

pharmaceuticals, agriculture, bioenergy, research, environmental, metabolic pathways

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2
Q

problems with proteins

A

readily denatured, low activity, inappropriate activity

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3
Q

rational protein design

A

target using structure and sequence knowledge -> mutations -> screen sequence -> structure -> function/behaviour
information intensive

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4
Q

directed evolution

A

create different mutations and screen for best ones
intentional variation of protein sequences at a defined level of randomness
start with protein that has functional link (promiscuous region) -> expose to harsh environments

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5
Q

subtilisin

A

laundry detergent = serine peptidase
alkali resistant
catalytic triad, oxyanion hole, specificity pocket, main chain substrate binding

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6
Q

greater activity

A

broader substrate specificity, change binding pocket/tertiary structure

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7
Q

changing sequence

A

order primers -> change sequence
plasmid with selected gene
PCR amplification -> select for change
sequencing to confirm

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8
Q

increase stability

A

stop oxyanion hole functioning - oxidation

loops - add proline to decrease cleavage

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9
Q

good target for engineering

A

easy kinetics/michaelis menton
mechanism well understood
crystallised enzyme
high expressed and secreted

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10
Q

H lanuginosa lipase

A

triacylglycerol -> FFA
household detergents
low expression (not secreted)
interface catalysis mechanism (rolls to open to lipid soluble)

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11
Q

engineering aims

A

improve expression, decreases specificity, increase activity, decrease protease sensitivity, stability, compatibility

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12
Q

subtilisin E -> methyl formamide

A

both serine proteases (directed evolution)

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13
Q

Error prone PCR

A
dGTP:dATP ratio -> more GTP nucleotide
introduces diversity
clone into bacterial plasmid
screen genotype plates -> phenotype plates (assay)
amplify lead/parent molecule
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14
Q

DNA shuffling

A

break and reassemble different parent strands

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15
Q

subtilisin evolution

A

10 mutations in loops surrounding catalytic site surface

more efficient in DMF

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16
Q

types of changes

A

beneficial, deleterious, neutral

deconvolution

17
Q

sitagliptin

A

dipeptidyl peptidase-4 (DPP-4) inhibitor
decrease blood sugar in type 2 diabetes
oral + no hypoglycaemia

18
Q

DPP-4

A

chops GLP-1 incretin to stimulate insulin secretion

19
Q

transaminase engineering

A

asymmetric hydrogenation
need to aminate prostiglipin ketone, R-selective, large pocket
directed evolution (site-saturating - one at a time)
move loop G136F and clip chains to open pocket

20
Q

check product

A

oligerimisation SEC or mass spec

model structure

21
Q

antibodies

A

Fv - variable region
Fc - constant region
Fab - one constant one heavy
3 x heavy and light chains = binding

22
Q

phage display

A

DNA from phage library inserted -> present on phage surface
identify and amplify/repeat best binding proteins
use protein 3 (coat protein) to bind favourite protein
single polypeptides

23
Q

antibody phage display

A

linker between heavy and light chains (sFv - single chain variable constant) made from gly and ser
select for binding to ligand

24
Q

technological advancements for selection of antibodies

A

monovalent display - only one copy on surface (shows binding better)
effective library size - bigger = tight binding (don’t need mature proteins)

25
Q

adalimumab/humira

A

treat inflammatory diseases
blocks binding to TNF (tumor necrosis factor) - activates inflammation, validated target
extracellular = good for antibodies

26
Q

mouse antibodies

A

good for acute not chronic

human antibodies develop against

27
Q

human mAb templated by mouse mAb

A

heavy chain mice fuse with human light chain -> screen for best
good light chain with human heavy chain -> rescreen
= human heavy and light chain

28
Q

CDR

A

Complementarity-determining regions

core of binding domain, variable = recognition

29
Q

infliximab

A

chimeric/humanised mouse antibody for inflammatory disease

not as effective in blocking site - wrong placement