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Protein Folding Programs

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... for each pair of particles the pair-wise interactions should be calculated ... database sequence independently, pair-wise sequence sequence comparison, BLAST ... – PowerPoint PPT presentation

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Title: Protein Folding Programs


1
Protein Folding Programs
  • By
  • Asim OKUR
  • CSE 549
  • November 14, 2002

2
Protein Structure
  • DNA Sequence ? Protein Sequence ? Structure ?
    (Mis)function
  • It is believed that all the information necessary
    to determine the structure of a protein is
    present in its primary sequence.

3
Protein Folding Programs
  • Protein folding is one of the biggest
    computational challenges
  • Different types of folding and structure
    predictions programs
  • Simulations
  • Homology Modeling Approaches

4
Simulations
  • Simulate the real behavior of proteins
  • High detail, short time scales
  • 2 main simulation types
  • Molecular Dynamics
  • Monte Carlo

5
The Energy Function
  • Calculate energies for each particle
  • Since long range interactions important for each
    pair of particles the pair-wise interactions
    should be calculated

6
Homology Modeling
  • Template Selection and Fold Assignment
  • Target Template Alignment
  • Model Building
  • Loop Modeling
  • Sidechain Modeling
  • Model Evaluation

7
Fold Assignment and Template Selection
  • Identify all protein structures with sequences
    related to the target, then select templates
  • 3 main classes of comparison methods
  • Compare the target sequence with each database
    sequence independently, pair-wise sequence
    sequence comparison, BLAST and FASTA
  • Multiple sequence comparisons to improve
    sensitivity, PSI-BLAST
  • Threading or 3-D template matching methods

8
Target Template Alignment
  • Most important step in Homology Modeling
  • A specialized method should be used for alignment
  • Over 40 identity the alignment is likely to be
    correct.
  • Regions of low local sequence similarity become
    common when overall sequence identity is under
    40. (Saqi et al., Protein Eng. 1999)
  • The alignment becomes difficult below 30
    sequence identity. (Rost, Protein Eng. 1999)

9
Model Building
  • Construct a 3-D model of the target sequence
    based on its alignment on template structures
  • Three different model building approaches
  • Modeling by rigid body assembly
  • Modeling by segment matching
  • Modeling by satisfaction of spatial restraints
  • Accuracies of these models are similar
  • Template selection and alignment have larger
    impact on the model

10
  • Screenshots from the Homology Modeling Server
    Swiss-Model
  • Construct a framework using known protein
    structures
  • Generate the location of the target amino acids
    on the framework
  • If loop regions not determined, additional
    database search or short simulations

Swiss-MOD Web Server
11
  • Procedure of the MODELLER program
  • After obtaining restraints run a geometry
    optimization or real-space optimization to
    satisfy them

12
Errors in Homology Models
  • Errors in sidechain packing
  • Distortions and shifts in correctly aligned
    regions
  • Errors in regions without a template

13
d. Errors due to misalignment e. Incorrect
templates
14
Model Building Programs
15
(No Transcript)
16
Applications
17
Critical Assessment of protein Structure
Prediction (CASP)
Venclovas et al. Proteins, 2001
18
Critical Assessment of protein Structure
Prediction (CASP)
Venclovas et al. Proteins, 2001
19
Conclusions
  • Computer Simulations are powerful to show
    detailed motions but they cannot cover long
    enough time spans to simulate folding for large
    systems
  • Homology Modeling techniques can be successful if
    the target protein has a known fold
  • The higher the sequence similarity the more
    likely the model will be successful
  • With the implementation of better techniques the
    errors in fold assignment, alignment, and
    sidechain and loop modeling are decreasing
  • Theoretically, if at least one member of every
    possible fold is known, it is possible to predict
    the structure of every coding sequence to within
    a certain accuracy
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