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Protein Evolution

Jen Harris Protein Form and Function BSc English

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Protein Evolution

  1. Common supersecondary motifs

    • Helix-loop-helix
    • Coiled-coil
    • Helix bundle
    • Beta-alpha-beta unit
    • Hairpin
    • Beta-meander
    • Greek key
    • Beta-sandwich
    • Combine to form domains
      • Independent folding units in tertiary structure
        • Individual domains have specific function
          • The major driving force in their folding is hydrophobic interactions
      • Important evolutionary units
        • ~40% of known structures in PDB are multidomain proteins
          • Of these >40% contain discontinuous domains
            • Domain insertion is a common evolutionary mechanism
        • 60-80% of genes in genomes code for multidomain proteins
      • Combine with different partners
        • Extend functional repertoire
  2. Comparing proteins

    • Basic scoring system
      • Sequence identity % = number of identical residues/number of residues aligned x 100
      • >35% identity means proteins are evolutionarily related
    • Superimposition
    • Root mean square deviation
      • Compares the proximity of residues to one another
        • < 3.5A if related
        • Make alignment
          • Sequence
          • Structure
          • Calculate distance between C-alpha of each pair of aligned residues
            • Pythagoras in 3D
              • Add together for all residues
                • Divide by number of residues
    • So - if 2 proteins have 99% identity...
      • They will have a common 3D structure as long as <50 residues have this
      • Their function is probably similar but even one residue different can completely change function.
  3. Recognising domains

    • DNA sequence
      • Limited use
        • Very closely related proteins wil have very similar DNA sequences
        • Perhaps useful for very short evolutionary distances
    • Amino acid sequences
      • Domains have similar amino acid sequences
      • As they diverge the sequence pattern is lost
    • Protein structure
      • Domains have the same fold
        • Has it been seen before?
      • Independently folding units
        • Many computer programs that try to use structural data to identify domains
    • Each domain takes a specific topology/fold
      • There is a limit to how many folds are possible in nature
        • ~10^3-4
          • Even though there are millions of protein sequences there are only so many different ways that structures can be fitted together!
  4. Why structural similarity?

    • Divergent evolution from common ancestor
      • If something works it is unlikely to be selected against
      • Structure is much more highly conserved than sequence
        • Makes sense; If a sequence is different that is absolute. But some amino acids have common properties and hence the structure can be retained even when the sequence is not.
    • Convergent evolution
      • Only so many ways to pack helices and strands in 3D space
      • Energetically favourable
  5. Protein classification

    • Domains are an important part of structure
      • Structure is conserved because it determines function
        • Protein data bank
    • CATH
      • Class
        • Assigned automatically for >90%
        • Major secondary structure
      • Architecture
        • Gross orientation of secondary structures
          • Shape of the fold
        • Beta-roll
        • Up-down bundle
        • Alphabeta-prism
        • alpha-beta-alpha sandwich
      • Topology
        • Connections
        • Number of 2ry strctures
      • Homologous superfamily
        • Highly similar structures and functions
        • Is there enough evidence for shared evolutionary origin?
      • Process
        • 1. Chop proteins into domains
          • 2. Sequence and structural analysis programs group by evolutionary and structural families
      • CATH domain structures and sequence relatives in sequenced genomes are fairly representative
      • Applications
        • "Ab initio" methods using protein structure
          • Algorithms for recognising boundaries
            • Swindells, 1995 - Detective
              • Each domain should have a recognisable hydrophobic core
            • Siddiqui and Barton, 1995 - DOMAK
              • Residues comprising a domain make more internal contacts than external ones
            • Holm & Sander, 1994 - PUU
              • Parser for protein folding units
                • Maximal interaction within domains
                • Minimal interaction between domains
            • Seek consensus; in practice ~20% of cases
            • E.g. Beta-amylase
              • PUU: 1 domain
              • DOMAK: 2 domains
              • Detective: 3 domains
        • Sequence methods
          • Sequence-sequence comparison
            • BLAST
            • NW
          • Sequence-profile comparison
            • PSI-BLAST
            • Align sequences and colour-code degree of conservation
            • If identity <35%
        • Structural methods
          • Contact map
            • Points of contact between residues in a protein
          • Distance matrices
        • Enter text here
    • Structural classification of proteins
      • Class
      • Fold
      • Superfamily
      • Family
      • Species
    • Protein family database Pfam
      • Superfamily
      • Clade
      • Sequence based
        • Confers with SCOP
    • Methods vary but agree on 60-70% of cases
  6. Homology

    • An absolute value
      • Either homologous or not!
    • Orthologs
      • Common ancestor
        • Different species
        • Same function
    • Paralogs
      • Common ancestor
        • Gene duplication
        • Same or different species
        • Different but related function
    • At least 2 conditions must be met:
      • Significant structural similarity
      • Significant sequence similarity
      • Functional similarity
    • e.g. toxins
      • Cholera
      • Pertussis
      • Heat stable enterotoxin
      • High structural similarity
        • Related functions
        • No evidence that they evolved from a common ancestor
  7. Rossmann fold

    • NAD binding domain
      • Cofactor that reversibly accepts a hydride ion
        • Lost or gained by the substrate in the redox reaction
        • Found in all living cells
          • Metabolism
            • Accepts or donates electrons in redox
              • Remove two hydrogen atoms from reactant (R)
                • Hydride ion H-
                  • Reduces NAD+ to NADH
                • Proton H+
                  • Released into solution
        • 2 nucleotides joined through their phosphate group
          • One contains an adenine base
          • The other nicotinamide
    • One of the most ubiquitous domains
    • Alpha-beta fold
      • Central beta sheet
        • Surrounded by approximately 5 alpha helices
        • Strands in characteristic order 654123
          • Crossover forms binding site
    • Lactate dehydrogenase
      • Has a Rossman fold at N-terminal domain
      • Convert L-lactate to pyruvate
        • Last step in anaerobic glycolysis
      • C-terminal catalytic domain
        • Substrate specificity
          • Precise reaction
        • Specific to lactate/malate dehydrogenases
          • Malate dehydrogenase
            • Interconversion of malate to oxaloacetate
            • N-terminal domain is a Rossmann fold
            • C-terminal catalytic domain
          • Paralogs
            • 17% sequence identity in humans
              • Duplication event
              • BUT structurally very similar
                • Function of NAD-binding domain conserved
                  • Change in sequence confers change in substrate specificity
      • Human/zebrafish orthologs
        • 76% sequence identity
          • Suggests speciation from common ancestor
    • Alcohol dehydrogenase
      • Two ADCDs flank a Rossmann fold
      • Same structure as LDH
        • 17% identity
    • Combine with different catalytic domains to achieve different functions
  8. Sequence diversity

    • Different evolutionary constraints in different positions in the protein structure
      • Surface residues have the least evolutionary constraints and can also accommodate small insertions and deletions
      • Core residues more highly conserved, critical for folding and stability
      • Functional residues also highly conserved
        • Critical for enzyme function or for protein-protein interactions
    • Structural diversity
      • The core is usually highly conserved
        • Within a family ~50%
      • Residue insertions in loops connecting 2ry structures
      • Substitutions can cause shifts in orientations of 2ry structure
      • Domain embellishments
    • Functional diversity
      • Domain superfamily
        • Dependent on the fold
          • Some can support many similar functions
            • P-loop hydrolases
          • Some have limited repertoire of functions
            • Globins
      • 1 amino acid change can change the function of a protein
      • Can share <10% sequence identity but still have the same function in different organisms
      • Defining function
        • Biochemical
          • Conservation
            • Chemistry?
            • Substrate?
            • Product?
        • Biological
          • Is cell localisation conserved?
            • Myoglobin
            • Haemoglobin
        • Schema
          • Enzyme classification system
          • GO terms
  9. Challenges in comparing protein structures

    • Insertions or deletions of residues
      • Usually in connecting loops not secondary structures
      • Indels
      • Structural cores usually highly conserved
        • Can still be considerable structural differences between relatives outside the core.
      • Insertions usually in loops connecting secondary structures
      • Substitutions can shift orientations of secondary structures
      • Coping
        • Ignore variable loop regions
          • Only compare secondary structures
        • Use algorithms which explicitly handle insertions/deletions
          • Dynamic programming
          • Simulated annealing
  10. CATHEDRAL

    • Combines rapid graph theory secondary structure filter with dynamic programming
      • Accurate residue alignment
      • SVM
        • Combine scores
          • Assess significance of match
      • Scan against all domain structural representatives in CATH
    • Fast structure comparison
      • Dihedral angles + chirality
        • Create overlap graph
          • Largest common structural motif
          • Compare using Bron Kerbosch algorithm
            • Largest common graph
      • Generally ~1000x faster than residue-based methods
  11. SSAP

    • Residue-based method
      • Double dynamic programming
    • Compare vector environments
      • Path matrix
        • Generate path for each
          • Compare with dynamic algorithm
            • Add path to summary matrix
              • Apply dynamic algorithm to summary matrix
                • Final alignment

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Description
BSc Protein Form and Function Mind Map on Protein Evolution, created by Jen Harris on 26/05/2013.
Created by
Jen Harris
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