Protein Chemistry

🧬 Protein Selection Strategies — Full Summary


🧠 1. Overview of Selection Methods (p.1–2)

Core idea:

You want to find functional proteins (e.g., binders, enzymes) from huge libraries (up to ~10¹³ variants).

Main strategies:

  • Cell-based systems
    • Complementation
    • Yeast display
    • Bacterial display
    • Phage display
    • Retroviral display
  • In vitro systems
    • Ribosome display
    • mRNA display
    • CIS display
    • Compartmentalisation

🔑 Key concept:

👉 Genotype–phenotype linkage

  • Genotype: DNA/RNA sequence
  • Phenotype: protein function

You must physically link them, otherwise you can't recover the sequence of a good binder.


🦠 2. Filamentous Phage Basics (p.3–7)

Structure (image pages explained):

  • Long filament (~1 µm long, ~6.5 nm wide)
  • Coat proteins:
    • pVIII → major coat (2700 copies)
    • pIII, pVI, pVII, pIX → ends of phage

👉 The diagrams (p.3–7) show:

  • A rod-like particle
  • DNA inside
  • Proteins forming a “tube”

Important biology:

  • Infects E. coli via F-pilus
  • Non-lytic → does NOT kill host (important for continuous production)
  • ssDNA genome

🔁 3. Phage Life Cycle (p.6 image)

The image shows:

  1. Attachment via pIII to F-pilus
  2. DNA enters bacteria
  3. Replication of phage DNA
  4. Assembly at membrane
  5. Extrusion (not lysis!)

👉 Key insight:

  • This allows continuous selection cycles without killing cells

🧪 4. Phage Display Concept (p.8–9)

Core mechanism:

  • Insert foreign DNA into phage coat protein gene (often pIII or pVIII)
  • Result: protein/peptide is displayed on phage surface

👉 Image (p.9):

  • Shows peptides sticking out of phage

🔗 Critical:

  • The DNA inside encodes the displayed protein → genotype = phenotype

⚠️ 5. Limitations of Phage Display (p.10)

  • Can disrupt phage structure
  • Reduced infectivity
  • Large vectors → poor transformation efficiency
  • Avidity effects (multivalent binding can fake high affinity)

👉 Important nuance:

  • Multivalent display ≠ true high affinity

🧬 6. Phagemids & Vector Design (p.12–15)

Phagemid (p.12):

Hybrid between:

  • Plasmid
  • Phage system

Contains:

  • Promoter
  • Signal peptide (pelB)
  • Tag (myc)
  • gIII fusion site

Vector comparison (p.14):

TypeFeatures
Phage vectorLarge, multivalent
PhagemidSmaller, monovalent

pIII vs pVIII (p.15):

FeaturepIIIpVIII
Copies3–5~2700
DisplayMonovalentMultivalent
Protein sizeLargeSmall peptides

👉 Interpretation:

  • pIII → accurate affinity selection
  • pVIII → strong signal but less precise

🍞 7. Yeast Display (p.16–18)

Concept:

  • Protein displayed on yeast cell surface (Aga2 fusion)

Key numbers:

  • 10,000–100,000 copies per cell

Image explanation:

  • Protein anchored to cell wall
  • Tagged for detection

🔬 FACS (p.18):

  • Cells labeled with fluorescent ligand
  • Sorted by fluorescence

👉 What the diagram shows:

  • Laser excitation (488 nm)
  • Charged plates → sorting cells into tubes

👉 Key advantage:

  • Quantitative selection (affinity tuning)

🦠 8. Bacterial Display (p.19–20)

Concept:

  • Proteins displayed on bacterial surface

Table (p.20):

Shows:

  • Different outer membrane proteins used
  • Applications:
    • Vaccines
    • Epitope mapping
    • Biocatalysis

👉 Insight:

  • More diverse scaffolds than phage

⚗️ 9. Move to In Vitro Systems (p.21–26)

Why move in vitro?

  • Avoid cell limitations
  • Access huge libraries (~10¹³)

Translation diagrams (p.22–25):

🧬 Ribosome structure (p.22):

  • A site (incoming tRNA)
  • P site (peptide bond formation)
  • E site (exit)

Translation steps:

1. Initiation (p.23)

  • Ribosome assembles
  • Start codon recognized

2. Elongation (p.24)

  • Amino acids added
  • tRNA cycling

3. Termination (p.25)

  • Stop codon
  • Protein released

In vitro protein synthesis (p.26):

  • Cell extracts provide:
    • Ribosomes
    • tRNAs
    • enzymes

👉 Can be:

  • Prokaryotic or eukaryotic systems

🔗 10. Linking Genotype & Phenotype (p.27–29)

Problem:

No cell → no natural linkage

Solution:

Physically link RNA/DNA to protein


Polysome display (p.28–29):

Image shows:

  1. DNA → RNA → protein
  2. Ribosome holds complex together
  3. Binding selection
  4. Recover mRNA
  5. Amplify

👉 Key idea:

  • Ribosome acts as bridge

🧬 11. Ribosome & mRNA Display (p.31–36)

Ribosome display:

  • Protein stays attached to ribosome + mRNA

mRNA display:

  • Covalent linkage (often via puromycin)

⚠️ Limitations (p.36):

  • mRNA instability
  • Requires:
    • Low temperature
    • High Mg²⁺

🧪 12. DNA-Based Display (CIS display) (p.37–44)

Idea:

Link protein directly to its DNA


Mechanism (p.40–43 images):

  • RepA protein binds its own DNA (cis-action)
  • During translation:
    • Protein attaches to its encoding DNA

👉 Result:

  • Stable DNA–protein complex

Selection cycle (p.44):

  1. Incubate with target
  2. Wash weak binders
  3. Elute strong binders
  4. PCR amplify
  5. Repeat

🧫 13. Compartmentalisation (p.46–49)

Concept:

  • Encapsulate single genes in droplets

👉 Each droplet = mini reaction chamber


Advanced version:

  • Water-in-oil emulsions
  • Each compartment:
    • DNA
    • translation system
    • product

👉 Enables:

  • True genotype–phenotype isolation

🎯 14. Selection Criteria (p.50–51)

You can select for:

  • Affinity (binding)
  • Stability
  • Catalysis

Affinity selection:

  • Bind to target → keep
  • PCR amplify binders

✂️ 15. Selection by Proteolysis (p.52–54)

Principle:

  • Folded proteins → resistant
  • Unfolded → degraded

Image explanation (p.54):

  • Folded fusion protein survives → infective phage
  • Unfolded → degraded → non-infective

👉 Clever proxy for protein stability


🦠 16. Selection by Infection (p.53)

  • Infection requires pIII domains (D1, D2)
  • If disrupted → no infection

👉 Used to link:

  • Structure/function → infectivity

⚗️ 17. Selection for Catalysis (p.55–59)

Concept:

  • Detect enzyme activity, not just binding

Mechanism (p.55):

  • Enzyme converts substrate → product
  • Product is captured (e.g., biotin-streptavidin)

Examples (p.56–58):

  • Enzyme linked to phage
  • Reaction generates:
    • detectable product
    • or capture tag

⚠️ Limitation (p.59):

  • Single turnover is inefficient

👉 Solution:

  • Use compartmentalisation → allows multiple catalytic cycles

🧠 Final Big Picture

Core pipeline across all systems:

  1. Generate library (DNA diversity)
  2. Express/display protein
  3. Select based on:
    • binding
    • stability
    • catalysis
  4. Recover genetic material
  5. Amplify (PCR)
  6. Repeat (evolution cycles)

🔥 Key Insights to Remember

  • Genotype–phenotype linkage is EVERYTHING
  • Display system choice = trade-off
    • Phage → robust, easy
    • Yeast → quantitative (FACS)
    • In vitro → massive libraries
  • Multivalency can mislead affinity
  • Compartmentalisation enables true enzyme evolution

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