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On the classification and evolution of protein modules

H Hegyi1, P Bork

  • 1EMBL, Heidelberg, Germany.

Journal of Protein Chemistry
|July 1, 1997
PubMed
Summary
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Protein module classification is aided by model organism sequencing data, revealing evolutionary trends. An automated system identified unexpected similarities between human C1Q modules and bacterial proteins.

Area of Science:

  • * Molecular Biology
  • * Bioinformatics
  • * Evolutionary Biology

Background:

  • * Protein modules are key functional units, and their classification is crucial for understanding protein evolution.
  • * Model organism sequencing projects provide valuable data for tracing the evolutionary history of proteins and their modules.
  • * Multicellular organisms exhibit a notable increase in modular proteins, reflecting the need for novel protein functions.

Purpose of the Study:

  • * To review efforts in classifying protein functional units (modules).
  • * To leverage sequencing data for deducing protein and module evolution.
  • * To develop automated systems for module classification and evolutionary tracing.

Main Methods:

  • * Sensitive similarity search algorithms for sequence characterization of modules.

Related Experiment Videos

  • * Collection of multiple sequence alignments for each module.
  • * Development of a sequence and module alerting system to check new sequence data against classified modules.

    • Main Results:

    • * Dramatic increase in modular proteins observed from yeast to C. elegans, correlating with the evolution of multicellularity.
    • * Successful identification of an unexpected similarity between extracellular C1Q modules and bacterial proteins using the developed systems.

    Conclusions:

    • * Model organism data is instrumental in understanding protein module evolution.
    • * Automated systems enhance the efficiency and accuracy of protein module classification.
    • * The identified similarity between C1Q and bacterial modules suggests potential horizontal gene transfer or convergent evolution.