Dali: A Protein Structural Comparison Algorithm Using 2D Distance Matrices PowerPoint PPT Presentation

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Title: Dali: A Protein Structural Comparison Algorithm Using 2D Distance Matrices


1
Dali A Protein Structural Comparison Algorithm
Using 2D Distance Matrices
2
Main Points for Discussion
  • Overview of why structural comparison can be a
    useful mode of analysis.
  • Using a 2-D distance matrix to represent a 3-D
    protein structure.
  • Specific computer algorithms that have been used
    to accomplish this analysis, including Monte
    Carlo optimization.
  • Further applications of Dali.

3
Why consider structural comparison?
  • 1D sequence comparisons has traditionally been
    (and still is) used to determine degree of
    relatedness, although a low degree of sequence
    homology may yield surprisingly similar
    structures.
  • 3D structural alignment is aimed at providing
    more information about the structure-function
    similarities between proteins with
    non-detectable evolutionary relationships.

4
The Distance Matrix and How Its Read
1
2
3
5
Assignment of Equivalent Residue Pairs
6
Additive Similarity Score (general)
S S S f(i,j)
L
L
i 1
j 1
  • i and j are labeled pairs of equivalent (matched)
    residues (i.e. i iA,iB).
  • f similarity measure based on Ca-Ca distances
    dAij and dBij
  • Largest S corresponds to optimal set of
    equivalencies.

7
Rigid Similarity Score
fR(i,j) q R dAij dBij
  • dAij and dBij are equivalenced residues
  • in proteins A and B.
  • q R zero level of similarity

8
Elastic Similarity Score
dAij dBij
q E -
w(dij)
fE(i,j)
dij
q E
  • dij the average of dAij and dBij
  • q E tolerance of 20 deviation
  • w(r) envelope function exp(-r2/a2)

9
Robustness of Dali
10
Quality of Generated Alignments
  • Accuracy was verified by examining conserved
    functional residues in seeemingly divergent
    structures.
  • The elasticity score is useful in that it
    captures relative movements of structural
    elements (e.g. ATP binding site in hsp70) and
    leaves only extremely non-homologous loops
    unaligned.

11
Quality of Generated Alignments (cont.)
  • Detection of inter-domain motion brings
    functionally important residues into focus (e.g.
    ATP binding site in hsp70).
  • Manipulation of the elastic similarity score
    determines the stringency of the alignment.

12
Dendrogram
Examination of Relatedness Using a Dendrogram
13
Further Applications of Dali
  • Continuing further in an attempt to map the
    entire protein space using quantitative
    comparisons between structures (correspondence
    analysis on p. 133)
  • Applications to residue-residue energy
    interactions to create a more accurate
    biochemical representation of the protein. Also
    able to yield more useful information to predict
    3D structure from amino acid sequence due to the
    energies of interacting residues.
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