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Protein Structure

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Compute atom locations (C, N, O, S) Relax structure ... NMR: NOEs, J-coupling constants measurements give structural constraints ... GAMESS, Rosetta (Baker lab) ... – PowerPoint PPT presentation

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Title: Protein Structure


1
Protein Structure
  • Tertiary structure determination
  • Evaluation
  • Comparison

Supplemental primer on protein structure
http//www.ncbi.nlm.nih.gov/About/primer/molecular
mod.html
Reading Chapter 13
BIO520 Bioinformatics Jim Lund
2
Protein Structure3D Determination
  • X-ray crystallography
  • Nobel prizes Perutz,1962 (myoglobin)
  • MacKinnon 2002 (ion channels)
  • Kornberg, 2006 (ribosome)
  • requires crystals
  • NMR methods
  • Nobel prize 2002, Kurt Wüthrich
  • lt30kD

3
X-ray crystallography
  • Purify protein
  • Crystallize protein
  • Test an array of conditions to determine which
    give good quality crystals.
  • X-ray diffraction
  • Compute atom locations (C, N, O, S)
  • Relax structure computationally (energy
    minimization)

4
X-ray crystallography
5
X-ray crystallography
6
X-ray crystallography
7
NMR Structure Determination
  • Isotopically label protein
  • NMR NOEs, J-coupling constants measurements give
    structural constraints
  • Compute structures using constraints.
  • Relax structure computationally (energy
    minimization)

8
Local environment of an atom alters the emitted
radio frequency
The exact B field that a given nucleus feels is
dependent on the shielding(s) - the chemical
nature of bonded atoms - the dihedral angle - the
presence of other local fields (ring currents in
aromatic groups) - paramagnetic centers (unpaired
e-) - the chemical shift (in Hz) depends on Bo
and is small compared to the Larmour freq.
9
NMR data
10
Protein Structure Elucidation via NMR
Structure Calculation simulated annealing Fold
up random conformation to minimize violations of
constraints.
11
Applications of NMR
  • Degree of folding (folded, partially folded,
    unfolded) and kind of fold (primarily
    alpha-helix or beta-sheet) of a protein
    independent from a biological test of activity.
  • Optimization of conditions such as pH,
    temperature, salt concentration etc. for best
    solubility, folding, least aggregation etc in
    short time.
  • With 15N-labelling (not radioactive!) counting of
    folded/unfolded residues becomes possible this
    might help to determine domain borders more
    accurately when cloning protein domains.
  • Binding studies are possible with and without
    isotope labeling.
  • Ligand conformations can be determined.
  • Reaction products or intermediates can be
    investigated.
  • Folding and unfolding studies for slow kinetics
    (ms - sec - min) are possible, e.g. with
    H/D-exchange experiments or stopped-flow
    deuterium-pulse-experiments.
  • Dynamics-investigations yield information on the
    degree of oligomerization (monomer/dimer/...) as
    well as mobility of active sites of the protein.

12
Structure Evaluation
  • Torsion angles in disallowed Ramachandran plot
    regions
  • Maximize H-bonding
  • Minimize exposed hydrophobic side chains
  • Maximize exposed polar/charged side chains
  • Holes-gtbad
  • Minimize distorted H-bonds, distorted helix
    angles
  • Low R-factor (X-ray structure), low backbone RMSD
    (NMR)

13
Structure Evaluation Programs
  • DSSP
  • Identify secondary struct, solvent accessibility
    (buried or surface aa)
  • PROCHECK
  • Calculates torsion angles, bond angles,
    interatomic distances
  • VADAR (Volume, Area, Dihedral Angle Reporter)
  • Classifies secondary struct, salt bridges
  • Solvent accessibility (buried or surface aa),
    buried charge

14
Protein Structure Prediction
  • Homology modeling
  • SwissModel, SDSC1, CPH Models
  • Threading
  • SAMt99, 3D-PSSM, FUGUE
  • Ab initio
  • GAMESS, Rosetta (Baker lab)
  • EVA Evaluation of automatic structure prediction
    servers (http//cubic.bioc.columbia.edu/eva/)

15
Homology modeling
  • Align query protein to known structure.
  • Replace known with query.
  • Backbone insertions/deletions.
  • Side chains.
  • Refine model using energy minimization.
  • SwissModel, SDSC1, CPH Models

16
Threading (Fold Recognition)
  • Align sequences, one has known structure
  • thread backbone of test sequence into known
    structure.
  • minimize energies
  • predicts 3D structure
  • Sequence of unknown structure
  • thread through all possible folds

17
Threading Services
  • Generate a .pdb from a thread of a gt30 similar
    homolog
  • http//www.expasy.ch/swissmod/SWISS-MODEL.html
  • Search for threads in proteins 0-25 similar to
    your query (structural analogs without homology)
  • http//www.embl-heidelberg.de/predictprotein/predi
    ctprotein.html

18
Molecular Mechanics
  • Practical, rapid
  • Apply to many problems
  • thousands of atoms
  • different atom types
  • proteins, organics, nucleic acids, drugs
  • dynamic kinetics and thermodynamics
  • interactions
  • DOCKING

19
Ab initio prediction
  • Two components
  • Devising a scoring (ie, energy) function that
    can distinguish between correct (native or
    native-like) structures from incorrect ones.
  • A search method to explore the conformational
    space.

20
Molecular Mechanics Assumptions
  • Nuclei, electrons lumped into atoms
  • All atoms are spherical
  • Atoms interact on springs, via classical
    potentials
  • Interactions
  • determine spatial distribution
  • determine energies of states

21
Energy Calculations
Imagehttp//cmm.cit.nih.gov/modeling/guide_docume
nts/molecular_mechanics_document.html
22
Energy
Energy StretchBendTorsionNon-bonded
Charge van der Waals Dipole...
23
Simple Calculations
Ek(r-r0)2 Bond stretching
24
Non-bonded Energies
E?? -Aij Bij ?? qiqj i j rij6 rij12
i j rij
25
Geometry/Computation
  • Software packages for molecular dynamics
  • SYBL
  • AMBER
  • CHARMM

Used for Ab initio Energy Minimization Docking
26
Molecular mechanics Tweaking
  • Single-site mutation
  • Effect on protein active site, eg
  • Energy Minimization of Residue Conformers

ESyPred3D "Poor Man's Version"
27
Docking
  • Energy minimize bound molecules
  • combinatorial optimization
  • Important in drug design/modelling

QSAR/Superposition Combinatorial Chemistry
28
Docking Programs
  • RELIWE
  • www.gmd.de/SCAI/area-bioinf.html
  • DOCK
  • www.cmpharm.ucsf.edu/kuntz/dock.html
  • AutoDock
  • www.scripps.edu/pub/olson-web/doc/autodock/

29
Structure Neighboring
  • Recognize protein 3D similarities w/o sequence
    similarity
  • restricted to known 3D
  • Heirarchical databases
  • CATH
  • Class(C), Architecture(A), Topology(T) and
    Homologous superfamily (H)
  • Computational
  • SCOP
  • Structural Classification of Proteins
  • hand annotated
  • Structure similarity searches

30
Structure comparison searches
  • Similar groups of secondary structure
  • DALI
  • Distance matrices
  • CE, VAST (Vector Alignment Search Tool)
  • Vector representation of secondary structure
  • VAST
  • Identify pairs of secondary structure elements
    with similar type, orientation, connection, then
    extend these matches.
  • NCBI tool
  • Can view aligned structures with Cn3D
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