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Introduction to Structural Bioinformatics

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Title: Introduction to Structural Bioinformatics


1
Introduction to Structural Bioinformatics
  • Bruce Byrne, PhD
  • Fundamentals of Bioinformatics
  • Spring, 2007

2
What we will be doing
  • The Power Point Presentation
  • Whats important about structural bioinformatics?
  • There are themes in common to the rest of
    bioinformatics.
  • How do we get structural information for
    proteins?
  • Laboratory techniques
  • Data search and retrieval
  • What do the data look like?
  • How can we visualize the data?

3
Structural Bioinformatics
  • Why might it be useful to understand both the
    sequence and structure of a protein?
  • Better understanding of functional interactions
  • Protein/ligand binding
  • Catalysis
  • Insight into aberrant biological phenomena
    (disease)
  • Cancer, diabetes, etc
  • Develop drugs
  • Control disease by interfering with key pathways
    at molecular level
  • Influence disease course with metabolic
    inhibitors/activators
  • Manipulate gene and protein
  • Gene therapy
  • Biopharmaceuticals

4
Pattern Recognition is Fundamental to
Bioinformatics
  • Texts and Sequences
  • Text exact matches to words or strings
  • Sequence similarity
  • Expression Data DNA Microarray
  • Experimental data represented by color and
    intensity. How do patterns compare from on
    condition to another?
  • More, later, in Gene Expression unit.
  • Molecular Structures
  • How can a characteristic set of amino acids,
    arranged in 3-D, account for ligand or receptor
    binding?

Text
Sequence
Expression
5
What Happens with Advanced Structural
Bioinformatics?
  • Now
  • Manipulating sequence or altering structure
  • Modeling a similar sequences with unknown
    structure to a known structure
  • Docking a macromolecule and ligand
  • Future
  • Predicting structure based solely on sequence
  • ab initio methods

6
Ab initio methods
  • Build a peptide structure with just sequence
    information.
  • Can have more than one low energy model.
  • Iterative process and convergence is a must
  • Feasible for short peptide sequences (best model
    was 112aa by Robetta server (David Baker, Nature,
    2007)
  • Useful to build loop regions, missing protein
    segments in low resolution structures.
  • Complimentary to NMR and X-ray crystallography.

7
Basics Data for Modeling Structure
  • Solution NMR Nuclear Magnetic Resonance
  • Does not require crystallization
  • Works on molecules in aqueous solution
  • Lower resolution
  • X-Ray Crystallography
  • 80 of PDB entries
  • High resolution
  • Large quantities of crystallized protein
  • Validity for some biochemical microenvironments?
  • Highly hydrated crystals
  • Good empirical agreement between solution NMR and
    crystallography

8
Imaging - General
Image in and out of focus
  • Ability to create an image related to wavelength
    of energy source
  • Light
  • X-rays
  • Neutron beams
  • Electrons
  • Lenses focus images using a variety of energy
    sources
  • Glass light
  • Magnets electrons
  • Diffraction creates patterns
  • Regular, interpretable patterns resulting from
    the interference of waves

Waves on the surface of water diffracted moving
through a small hole
Given knowledge of the pattern on the left
and the properties of the hole, the waves on the
right can be modeled
Images Wikipedia
9
X-Ray Crystallography
  • Not just an imaging technique
  • Data gathering
  • Substantial interpretation
  • How does it work?
  • Wavelength (Ångström range, 10-8 cm ) will cause
    scatter by electron cloud of similar sized atom
  • Generally yields a unique model
  • Cannot resolve the positions of hydrogen atoms
    unless by modeling or resolution beyond about 1.2
    Å
  • Terminal side-chain atoms uncertain for Asp, Gln
    and Thr requires inferred identity

10
Solution NMR
  • Analyzes proteins in solution
  • Especially useful for smaller proteins, lt 30 kD
  • Very important because
  • some proteins resist crystallization
  • Yields the positions of some hydrogen atoms
  • Solution NMR often yields multiple models, in
    comparison with crystallography
  • Especially useful in the analysis of large
    complexes

11
The Crystal
  • Crystal must be
  • Single
  • A few tenths of a mm in each direction
  • Protein crystals are
  • Fragile and sensitive
  • Bound by weak hydrogen bonds, salt bridges and
    hydrophobic interactions
  • Contain 50 solvent in channels between stacked
    molecules
  • Jelly-like nature permits soaking crystals in
    metal solutions or enzyme inhibitors
  • Expensive

12
Obtaining a Crystal
  • High concentration, purified protein (2-50 mg/ml
    )
  • Add agents to reduce solubility, without
    precipitation
  • Evaporate agent from reservoir into hanging drop
    with protein
  • Experiment trial and error

13
The Experimental Set-up
  • Rotating anode X-ray generator
  • Monochromator or focusing mirrors yield single
    wavelength
  • Crystal can be repositioned using goinometer
  • Photo-plate or electronic recording of diffracted
    pattern

14
Interpretation Theory Bragg's Law
  • n? 2d sinT (1)
  • Derived by Sir W.H. Bragg and his son Sir W.L.
    Bragg in 1913
  • Explains why crystals reflect X-ray beams at
    certain angles of incidence (theta, q).
  • Direct evidence for the periodic atomic structure
    of crystals postulated for several centuries.
  • The Braggs were awarded the Nobel Prize in
    physics in 1915.

15
Interpretation Practice
  • Obtain diffraction pattern
  • Position and intensity apparent in image
  • Phases of the waves which formed each spot must
    also be determined
  • irradiate two or more derivatives of the same
    crystal which differ only in the presence of
    heavy metal ions
  • Use multiple wavelengths
  • Position, density and phase constitute a
    structure factor.
  • PDB structure factor data files permit creation
    of a complete electron density map

16
Structural Bioinformatics Repositories
  • PDB Protein Database
  • Curated collection
  • Prime source for data
  • NCBI
  • Derived database, a subset of PDB
  • One useful structural viewer
  • Integrated with other NCBI databases

17
Finding The PDB File
  • PDB http//www.rcsb.org/pdb/home/home.do
  • Search for a PDB ID 1zaa

18
Looking at the PDB Data File
  • Note Display File options
  • Select PDB File
  • Note file structure and similarities to GenBank
  • HEADER
  • TITLE
  • COMPND
  • SOURCE
  • KEYWDS
  • EXPDTA etc
  • REMARK
  • DBREF
  • SEQRES
  • etc
  • Far down in the file, you will note the position
    of each heavy atom of each residue of the protein
    using XYZ coordinates
  • How do these data compare to what you have
    learned about X-ray crystallography?

19
Finding Data
  • What are Zinc Fingers?
  • Navigating structures at NCBI

20
Zinc Fingers (1)
  • Well-understood structure with important
    biological function
  • Independently folded domain of many proteins
  • Requires 1 or more Zinc ions
  • A series of Zinc Fingers recognizes specific DNA
    sequences
  • Matches regulatory proteins like transcription
    factors

21
Zinc Fingers (2)
  • Very common DNA-binding motif
  • Characterized by two anti-parallel beta strands
    followed by an alpha helix
  • Stabilized by Zn ion interacting with conserved
    histidine (H) and cysteine (C) residues.

22
Search Using Alternative Strategies
  • Use Entrez
  • Search term zinc finger
  • Cick structure
  • 600 hits
  • TaxBrowser
  • Select Mus musculus
  • Click structures
  • Search for zinc finger
  • Search for zinc finger

23
Examine the Tabs
  • Tabs sort your result depending on the
  • Search strategy
  • Characteristics of the database
  • Structure searches
  • NMR
  • X-ray

24
MMDB Summary Page (1)
  • Note layout and features
  • Reference often but not always a publication
  • Search resulted from match of key words, but not
    a well controlled vocabulary
  • MMDB and PDB index numbers

25
MMDB Summary Page (2)
  • Chains (Proteins and Nucleotides, in this
    example)
  • 3d Domains
  • Domain Families

26
ExerciseCn3D The NCBI Viewer
  • Having reviewed how structural data are obtained
    in the laboratory and catalogued at NCBI this
    Units Exercise will give you expertise in using
    the NCBI structural viewer, Cn3D.
  • Download the assignement from WebCT

27
Next Week Beyond
  • On-line
  • Find structures at NCBI using Entrez tools
  • Use Cn3D Viewer to visualize structures
  • Use similarity searching tools to find similar
    structures
  • Review remaining schedule of classes.
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