Mapa mental
Protein Evolution
Contenido del mapa
Protein Evolution
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
- Individual domains have specific function
- 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
- Of these >40% contain discontinuous domains
- 60-80% of genes in genomes code for multidomain proteins
- ~40% of known structures in PDB are multidomain proteins
- Combine with different partners
- Extend functional repertoire
- Independent folding units in tertiary structure
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
- Add together for all residues
- Pythagoras in 3D
- Compares the proximity of residues to one another
- 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.
- Basic scoring system
Recognising domains
- DNA sequence
- Limited use
- Very closely related proteins wil have very similar DNA sequences
- Perhaps useful for very short evolutionary distances
- Limited use
- 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
- Domains have the same fold
- 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!
- ~10^3-4
- There is a limit to how many folds are possible in nature
- DNA sequence
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
- Divergent evolution from common ancestor
Protein classification
- Domains are an important part of structure
- Structure is conserved because it determines function
- Protein data bank
- Structure is conserved because it determines function
- 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
- Gross orientation of secondary structures
- 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
- 1. Chop proteins into domains
- 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
- Parser for protein folding units
- Seek consensus; in practice ~20% of cases
- E.g. Beta-amylase
- PUU: 1 domain
- DOMAK: 2 domains
- Detective: 3 domains
- Swindells, 1995 - Detective
- Algorithms for recognising boundaries
- Sequence methods
- Sequence-sequence comparison
- BLAST
- NW
- Sequence-profile comparison
- PSI-BLAST
- Align sequences and colour-code degree of conservation
- If identity <35%
- Sequence-sequence comparison
- Structural methods
- Contact map
- Points of contact between residues in a protein
- Distance matrices
- Contact map
- Enter text here
- "Ab initio" methods using protein structure
- Class
- 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
- Domains are an important part of structure
Homology
- An absolute value
- Either homologous or not!
- Orthologs
- Common ancestor
- Different species
- Same function
- Common ancestor
- Paralogs
- Common ancestor
- Gene duplication
- Same or different species
- Different but related function
- Common ancestor
- 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
- An absolute value
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
- Hydride ion H-
- Remove two hydrogen atoms from reactant (R)
- Accepts or donates electrons in redox
- Metabolism
- 2 nucleotides joined through their phosphate group
- One contains an adenine base
- The other nicotinamide
- Cofactor that reversibly accepts a hydride ion
- 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
- Central beta sheet
- 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
- Function of NAD-binding domain conserved
- 17% sequence identity in humans
- Malate dehydrogenase
- Substrate specificity
- Human/zebrafish orthologs
- 76% sequence identity
- Suggests speciation from common ancestor
- 76% sequence identity
- Alcohol dehydrogenase
- Two ADCDs flank a Rossmann fold
- Same structure as LDH
- 17% identity
- Combine with different catalytic domains to achieve different functions
- NAD binding domain
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
- The core is usually highly conserved
- Functional diversity
- Domain superfamily
- Dependent on the fold
- Some can support many similar functions
- P-loop hydrolases
- Some have limited repertoire of functions
- Globins
- Some can support many similar functions
- Dependent on the fold
- 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?
- Conservation
- Biological
- Is cell localisation conserved?
- Myoglobin
- Haemoglobin
- Is cell localisation conserved?
- Schema
- Enzyme classification system
- GO terms
- Biochemical
- Domain superfamily
- Different evolutionary constraints in different positions in the protein structure
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
- Ignore variable loop regions
- Insertions or deletions of residues
CATHEDRAL
- Combines rapid graph theory secondary structure filter with dynamic programming
- Accurate residue alignment
- SVM
- Combine scores
- Assess significance of match
- Combine scores
- 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
- Create overlap graph
- Generally ~1000x faster than residue-based methods
- Dihedral angles + chirality
- Combines rapid graph theory secondary structure filter with dynamic programming
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
- Apply dynamic algorithm to summary matrix
- Add path to summary matrix
- Compare with dynamic algorithm
- Generate path for each
- Path matrix
- Residue-based method
Información
- Descripción
- BSc Protein Form and Function Mapa Mental sobre Protein Evolution, creado por Jen Harris el 26/05/2013.
- Creado por
- Jen Harris
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