An Introduction to Bioinformatics Protein Structure Prediction



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An Introduction to Bioinformatics

  • Protein Structure Prediction




Introduction

  • Structure has several levels

    • 1 primary
    • 2 secondary
    • 3 tertiary
    • 4 quaternary


1 primary

  • Amino acid sequence



2 secondary

  • Localized organisation -helices and -sheets



3 tertiary

  • Three-dimensional organisation



4 quaternary



The problem…..





Signal peptides

  • Short N-terminal amino acid sequences

  • Direct to membrane

  • Cleaved after translocation

  • SignalP







Intracellular targeting

  • TargetP

  • Predict subcellular location of eukaryotic protein

  • Presequences

    • Chloroplasts
    • Mitochondria
    • signal peptide


Transmembrane Domains

  • Lots of programs

  • TMHMM

    • -helices
    • hydrophobic  
    • helix topology
    • R or K +ve charge cytoplasmic side
    • Hidden Markov Modelling






-helices and -sheets



-helices and -sheets



Super-secondary Structure

  • Secondary structure elements combined into specific geometric arrangements known as motifs



Super-secondary Structure

  • Several programs/websites for specific domains e.g.

  • PAIRCOIL and MULTICOIL - detect coiled-coiled regions

    • regions separating domains
  • TRESPASSER - detects Leucine Zippers

    • Leu-X6-Leu-X6-Leu-X6-Leu protein interaction domain
  • NPS@nalysis Helix-Turn-Helix

    • Protein interaction/DNA binding


Integrated stucture prediction

  • One stop shop!

  • Predict Protein at EBI

    • secondary structure
    • solvent accessibility globular regions
    • transmembrane helices coiled-coil regions
    • a multiple sequence alignment ProSite sequence motifs
    • low-complexity retions
    • ProDom domain assignments


Tertiary Structure Prediction

  • Homology modelling

  • Fold recognition

  • Threading

  • Model building





Homology Modelling



Homology Modelling



Homology Modelling





What if I have no homologue?





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