Protein Structure Michael Schroeder Joachim Haupt Melissa Adasme - - PowerPoint PPT Presentation

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Protein Structure Michael Schroeder Joachim Haupt Melissa Adasme - - PowerPoint PPT Presentation

Protein Structure Michael Schroeder Joachim Haupt Melissa Adasme Biotechnology Center TU Dresden Hierarchical structure of proteins Heim et al. Chemical Society Reviews, 2010 2 wwpdb.org 3 Gorbi.irb.hr 4 Actinidin and Papain 50%


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Michael Schroeder Joachim Haupt

Biotechnology Center TU Dresden

Protein Structure

Melissa Adasme

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Heim et al. Chemical Society Reviews, 2010

Hierarchical structure of proteins

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wwpdb.org 3

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Gorbi.irb.hr 4

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Actinidin and Papain

50% sequence ID, same structure

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Hemoglobin and Leghemoglobin

11% sequence ID, same structure

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Same superfamily, but not family Same family Twilight zone

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Structure prediction

Secondary structure prediction Homology modelling Ab initio prediction Rosetta Evfold 8

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Structure prediction

David Jones, UCL, 1997

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Structure prediction Ramachandran plot

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Rosetta

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Rosetta

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EVfold

Structure Prediction from Multiple Sequence Alignments

Marks et al., PLoS One, 2011

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Evfold

Direct Information Statistical Model

Marks et al., PLoS One, 2011

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EVfold

Examples

Marks et al., PLoS One, 2011

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SCOP: Structural Classification of Proteins

FOLD CLASS

top

SUPERFAMILY FAMILY C1 set domains (antibody constant) V set domains (antibody variable)

All alpha All Beta Alpha/Beta Alpha+Beta

Trypsin-like serine proteases Immunoglobulin-like Transglutaminase Immunoglobulin

Distant common ancestor Low sequence similarity Closer evolutionary relationship >30 sequence identity

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All beta All alpha

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Alpha and beta Alpha plus beta

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Membrane proteins

Aquaporin

1ih5 20

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Hou et al. PNAS, 2003 21

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Structure Alignment

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G proteins (P-loop)

Conformational change

  • n GTP or GDP binding

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Citrate Synthase

1cts, 5cts 25

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Lactoferrin

  • iron-binding protein in secretions such as milk or tears
  • Rotation of 54º upon iron-binding

1lfh,1lfg 26

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Dynamic programming for structure alignment

  • Sequence a and b
  • Score for ai and bj = 1 / distance d(ai, bj)
  • No gap penalties

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Double Dynamic programming for structure alignment

  • For all pairs ai and bj:
  • Superpose ai and bj
  • Dynamic programming of previous slide
  • Add best aligned residues to overall alignment
  • Double dynamic programming is basis of SSAP

used for CATH

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Scoring a structural alignment

  • Sequences: matching residues
  • Structure: root mean square deviation (RMSD)

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RMSD: Root Mean Square Deviation

  • Distance of points a = (ax,ay) and b=(bx, by)?

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a b

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RMSD: Root Mean Square Deviation

  • RMSD=average distance of aligned atoms
  • Given the distances δi between n aligned atoms,

the RMSD is defined as:

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Quality of alignment

  • RMSD is measured in Ångstrom (Å)
  • 1 Å = 0.1 nm
  • RMSD = 0 Å: Identical structures
  • RMSD < 3 Å: Similar structures

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Pitfalls of RMSD

  • RMSD is size dependent
  • All atoms treated equally

(e.g. core residues less flexible than surface residues)

  • Best alignment not always minimal RMSD

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Large complexes

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GroEL/GroES

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Tuukkanen et al. Proteomics, 2010

Modelling large complexes: Set1

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What is a domain?

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What is a domain?

  • Functional: independent unit
  • Physiochemical: hydrophobic core
  • Topological:
  • Intra-domain distances of atoms are minimal,
  • Inter-domain distances maximal

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Domains are independent units

P-loop (green/orange) Winged helix DNA binding domain P-loop domain (green & orange) DNA polymerase III domain

1in5 1a5t 39

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By Michael Schroeder, Biotec, 40

Domains have hydrophobic core

Kyte & Doolittle, JMB, 1982

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By Michael Schroeder, Biotec, 41

Intra-domain distances minimal

  • Distances between atoms

within domain are minimal

  • Distances between atoms of

two different domains are maximal

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Motifs

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Interface helices: L-x-S-I-[GP]

Glutamate symporter Serine protease Cytochrome bc1

2nwl 1kb9 2ic8 Marsico et al. BMC Bioinf., 2010 43

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Protein interactions

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Families and Interfaces

  • One family pair = one interface?
  • No, 40% of families have alternative binding modes
  • One interface = one family?
  • 10% of interfaces have more than one interactor

Kim et al., PLoS CB, 2006 45

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Two domains, many interface

Long chained cytokine (center) and fibronectin type III domains (peripheral)

Kim et al., PLoS CB, 2006 46

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One interface, many families

Subtilisin/Chymotrypsin. Catalytic triad (Asp, His, Ser) in pink

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Viral mimicry of native interfaces

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By Mic hae l Sch roe der, Biot ec Henschel et al., Bioinformatics 2006

Baculovirus p35 mimics human protein

Human Caspase Human IAP Viral p35 Human Caspase

+ =

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One interface, many families

Caspase 3, Inhibitor of Apoptosis (green), and Baculovirus p35 (yellow)

Henschel, et al. Bioinf., 2006 50

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HIV Nef mimics human protein

Henschel et al., Bioinformatics 2006 Human SH3 Human HIV NEF Human SH3

+ =

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HIV Nef mimics native PxxP motif

Nef Kinase

Henschel et al., Bioinformatics 2006

Virus Human

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Henschel et al., Bioinformatics 2006 Human Cyclophilin Human Cyclophilin HIV capsid Human Cyclophilin

+ =

HIV capsid mimics human protein

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Drug repositioning

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One interface, many families

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Heinrich et al. J Cancer Res clin Onc, 2011 56

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