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Measuring the functional sequence complexity of proteins.

Kirk K Durston1, David K Y Chiu, David L Abel

  • 1Department of Biophysics, University of Guelph, Guelph, ON, N1G 2W1, Canada. kdurston@uoguelph.ca

Theoretical Biology & Medical Modelling
|December 8, 2007
PubMed
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We developed a new method to measure functional sequence complexity in proteins using a novel unit called Functional bit (Fit). This approach helps identify functionally important sites within protein sequences, aiding bioinformatics research.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Sequence Analysis

Background:

  • Sequence complexity is crucial in biosequences like proteins.
  • Previous work identified Random Sequence Complexity (RSC), Ordered Sequence Complexity (OSC), and Functional Sequence Complexity (FSC).

Purpose of the Study:

  • To introduce a novel method for quantifying functional sequence complexity.
  • To extend Shannon uncertainty by integrating sequence data with functionality variables.

Main Methods:

  • Developed a method to measure functional sequence complexity, termed Functional bit (Fit).
  • Applied the method to 35 protein families and aligned ubiquitin sequences.
  • Incorporated Shannon uncertainty with data and functionality variables.

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Main Results:

  • The new measure, Functional bit (Fit), quantifies sequence complexity based on functionality.
  • Application to ubiquitin sequences showed 6 of 7 highest value sites correlating with the binding domain.
  • Demonstrated relevance to functional bioinformatics and potential for whole/sub-molecule analysis.

Conclusions:

  • Functional bioinformatics measures can evaluate evolutionary pathways and mutation effects.
  • Future work may analyze internal structural and functional relationships within protein 3-D structures.