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Related Experiment Videos

Exploring protein sequence space using knowledge-based potentials.

A Babajide1, R Farber, I L Hofacker

  • 1Institut für Theoretische Chemie und Molekulare Strukturbiologie, Universität Wien, Währingerstrasse 17, A-1090 Vienna, Austria.

Journal of Theoretical Biology
|August 31, 2001
PubMed
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This study explores protein sequence-structure relationships. Computer simulations show that protein folds form extensive neutral networks, suggesting evolutionary pathways are robust and interconnected.

Area of Science:

  • Computational biology
  • Protein structure prediction
  • Evolutionary bioinformatics

Background:

  • Knowledge-based potentials guide protein folding predictions.
  • Understanding sequence-structure relationships is crucial for evolutionary studies.
  • Neutral networks are hypothesized to facilitate efficient evolution.

Purpose of the Study:

  • To survey sequence-structure relations in protein space.
  • To test if protein sequences for a specific fold form extensive neutral networks.
  • To determine if neutral networks of different folds are closely interconnected.

Main Methods:

  • Utilized knowledge-based potentials to assess sequence-structure compatibility.
  • Employed computer simulations to analyze protein sequence space.

Related Experiment Videos

  • Tested two distinct potential functions: PROSA pair potential and a neural network potential.

    • Main Results:

    • Confirmed that sequences for a given native fold form extensive, percolating neutral networks.
    • Demonstrated that neutral networks of different native folds are proximate, within a few mutations.
    • Validated these findings using two different computational potential functions.

    Conclusions:

    • Protein sequence space is organized around large neutral networks facilitating evolution.
    • The proximity of neutral networks supports the idea of evolutionary pathways readily switching between folds.
    • Computational potentials effectively probe sequence-structure landscapes and evolutionary propositions.