PPT 1

Protein chemistry

🧬 Page 1 — Why study proteins?

Proteins are central to life and biology:

  • They act as scaffolds, machines, signals, transporters, and catalysts
  • Understanding structure ↔ function is key to medicine, biotechnology, and biology
  • Proteins are much more complex than DNA:
    • 20 amino acids vs 4 nucleotides
  • The combinatorial explosion is enormous:
    • A 37-AA protein → 20³⁷ ≈ 1.37 x 10⁴⁸ possible sequences
    • One copy of each would weigh 1.5x Earth's mass
  • Average human protein length: ~373 amino acids

🧠 Key idea: proteins are chemically diverse, structurally complex, and biologically powerful


🧪 Page 2 — What this lecture covers

Overview of core protein chemistry:

  • Amino acids as building blocks
  • Zwitterions & charge behavior
  • Chirality
  • Structures & naming conventions
  • Amino-acid similarities & abundance
  • Charge, pI, pH
  • Protein structural hierarchy
  • Secondary structure elements
  • Databases & tools

⚖️ Page 3 — Amino acids as zwitterions

In water at physiological pH:

  • Amino acids exist as zwitterions
    • NH₃⁺ (positive) and COO⁻ (negative) simultaneously
  • pH controls protonation state:
    • Low pH → fully protonated
    • Neutral pH → zwitterion
    • High pH → deprotonated
  • The graph shows species distribution vs pH

🧠 Key idea: amino acids are never “neutral” in solution


🔄 Page 4 — Chirality & the CORN rule

  • All amino acids except glycine are chiral at Cα
  • Nature uses only L-amino acids
  • CORN rule:
    • View from H → Cα
    • Read CO → R → N
    • Clockwise = L-isomer
  • Isoleucine & threonine have two chiral centers

🔢 Page 5 — Carbon naming (α, β, γ…)

  • Side-chain carbons are named:
    • α, β, γ, δ, ε, ζ, η
  • Example: lysine
    • Long aliphatic chain ending in ε-NH₃⁺
  • Important for mechanisms, mutations, PTMs

🧱 Page 6 — Aliphatic amino acids

Nonpolar, hydrophobic side chains:

  • Glycine (0 carbons)
  • Alanine (1)
  • Valine (3)
  • Leucine (4)
  • Isoleucine (4, branched)

🧠 Key idea: increasing carbon count → increased hydrophobicity


🌸 Page 7 — Aromatic & imino acids

Aromatic amino acids:

  • Phenylalanine
  • Tyrosine
  • Tryptophan (largest, absorbs UV strongly)

Proline:

  • Imino acid (side chain bonds back to backbone N)
  • Rigid → disrupts helices

⚡ Page 8 — Charged side chains

Basic (positively charged):

  • Lysine
  • Arginine
  • Histidine (aromatic + titratable near pH 7)

Acidic (negatively charged):

  • Aspartate
  • Glutamate

💧 Page 9 — Hydroxyl side chains

  • Serine
  • Threonine
  • Tyrosine Contain -OH groups:
  • Hydrogen bonding
  • Phosphorylation sites (Ser, Thr, Tyr)

🔗 Page 10 — Amide & sulfur side chains

Amide:

  • Asparagine
  • Glutamine

Sulfur-containing:

  • Methionine (thioether)
  • Cysteine (thiol → disulfide bonds)

✏️ Page 11 — Drawing amino acids (exercise)

  • Practice drawing amino acids from memory
  • Reinforces:
    • Backbone
    • Side-chain diversity
    • Chirality awareness

🧬 Page 12 — Genetic code organization

  • Codons encoding similar amino acids cluster together
  • Stop codons can be repurposed for special amino acids

📊 Page 13 — PAM matrices

PAM = Point Accepted Mutations

  • Measures evolutionary substitution probability
  • Example:
    • Tyr ↔ Phe appears 6.6x more often than random
  • Used in sequence alignment

🌟 Page 14 — The 22 amino acids

Beyond the standard 20:

  • Selenocysteine (U) — encoded by UGA
  • Pyrrolysine (O) — encoded by UAG Used in specific organisms and enzymes

🔠 Page 15 — One-letter codes

Rules:

  • First letter used unless conflict
  • Smallest amino acid gets priority Special codes:
  • X = any amino acid
  • B = Asn/Asp
  • Z = Gln/Glu
  • J = Leu/Ile

🌊 Page 16 — Hydrophobicity

Hydrophobicity measured as:

  • ΔG of transferring AA from membrane interior → water
  • High positive ΔG = hydrophobic
  • Charged AAs strongly unfavorable in membranes

⚖️ Page 17 — Ionization of glycine

  • Two pKa values:
    • pK₁ (COOH) ≈ 2.3
    • pK₂ (NH₃⁺) ≈ 9.6
  • pI ≈ 6.0
  • Titration curve shows charge transitions:
    • +1 → 0 → -1

📉 Pages 18-20 — Titration of all amino acids

  • Side chains add extra pKa values
  • Basic AAs can reach +2
  • Acidic AAs can reach -2
  • Histidine is special (pKa ≈ 6)

🧮 Page 19 — Henderson-Hasselbalch

Used to calculate:

  • Fraction protonated vs deprotonated
  • Example: Cys-S⁻ at different pH Formula:

pH = pKa + log(base / acid)


🌍 Pages 21-22 — Environmental effects on pKa

pKa depends on environment:

  • Nearby charges shift pKa
  • Hydrophobic environments favor neutral states
  • Proteins tune pKa to enable catalysis

🧠 Key insight: pKa is not fixed inside proteins


👁️ Page 23 — Protein visualization & light

  • Aromatic AAs absorb UV
  • Choice of wavelength (λ) matters for detection

🧪 Page 24 — Amino acid analysis (AAA)

Process:

  1. Hydrolyze protein in 6 M HCl
  2. Label amino groups fluorescently
  3. Separate chromatographically
  4. Quantify peaks Limitations:
  • Asn, Gln, Trp destroyed or lost

📈 Page 25 — Amino acid abundance

Based on:

  • 207,132 protein sequences
  • 75 million amino acids Shows natural AA frequency biases

📚 Page 26 — Amino-acid properties

Derived from large-scale sequence alignments Used to infer conservation and function


🏗️ Page 27 — Protein structure hierarchy

  1. Primary — sequence
  2. Secondary — helices, sheets
  3. Tertiary — 3D fold
  4. Quaternary — subunit assembly

🔗 Page 28 — Peptides vs proteins

  • Peptide: short, flexible
  • Polypeptide: longer chain
  • Protein: folded, functional Residue mass = AA - H₂O

➡️ Page 29 — Peptide orientation

  • N-terminus → C-terminus
  • Backbone direction matters

🔄 Page 30 — Peptide bond geometry

  • Planar due to partial double bond
  • Two conformations:
    • Trans (favored)
    • Cis (rare; more common with Pro)

📐 Pages 31-32 — φ and ψ angles

  • Backbone flexibility defined by φ (phi) and ψ (psi)
  • Rotations determine folding possibilities

📊 Page 33 — Ramachandran plot

  • Shows allowed/disallowed φ-ψ combinations
  • Glycine more flexible
  • Proline more restricted

🌀 Pages 34-35 — α-helices

  • Right-handed 3.6₁₃ helix
  • 3.6 residues/turn
  • H-bond: n → n+4
  • Helical wheel reveals amphipathic nature

🧵 Pages 36-37 — β-sheets

  • Parallel vs antiparallel
  • H-bond geometry differs
  • Side chains alternate up/down
  • Turns often i → i+3

📏 Page 38 — Structural distances

  • α-helix: 1.5 Å/residue
  • β-strand: 3.5 Å/residue

🧬 Page 40 — Collagen triple helix

  • Special case
  • Rich in Gly-Pro-Hyp
  • Left-handed helices assemble into right-handed triple helix

🔍 Page 41 — Protein databases & tools

  • UniProtKB (Swiss-Prot & TrEMBL)
  • NCBI Protein
  • ExPASy ProtParam
  • ProtPi
  • Structures: RCSB PDB

🧠 Final takeaway

Proteins are:

  • Chemically diverse
  • Structurally hierarchical
  • Environment-dependent
  • Evolutionarily optimized

Mastering amino acids → bonds → angles → structures is the foundation of protein science.

Quiz

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