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Related Experiment Videos

Finding the global minimum: a fuzzy end elimination implementation

D A Keller1, M Shibata, E Marcus

  • 1Department of Biophysics, Roswell Park Cancer Institute, Buffalo, NY 14263, USA.

Protein Engineering
|September 1, 1995
PubMed
Summary
This summary is machine-generated.

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The fuzzy end elimination theorem (FEE) requires recursive checks to accurately identify all dead-ending protein rotameric states. Implementing recursive checks and simultaneous removal of dead-ending rotamers improves protein structure prediction accuracy.

Area of Science:

  • Computational Biology
  • Structural Bioinformatics
  • Protein Science

Background:

  • The fuzzy end elimination theorem (FEE) is a computational method for identifying protein rotameric states incompatible with the global minimum energy conformation.
  • Accurate protein structure prediction relies on efficient elimination of energetically unfavorable rotamers.

Purpose of the Study:

  • To investigate the impact of recursive checks for dead-ending rotameric states within the FEE.
  • To evaluate different strategies for removing dead-ending rotamers and their effect on the search process.
  • To introduce a novel tree-based search method for further reducing conformational space at FEE convergence.

Main Methods:

  • Implementation and testing of the fuzzy end elimination theorem (FEE) with and without recursive checks for dead-ending rotameric states.
Keywords:
NASA Discipline ExobiologyNASA Discipline Number 52-20NASA Program ExobiologyNon-NASA Center

Related Experiment Videos

  • Comparison of immediate versus simultaneous removal of dead-ending rotamers.
  • Development and application of a tree-based search method for conformational space reduction.
  • Exhaustive conformational searching of ten protein segments in two different environments.

    • Main Results:

    • Recursive checks are essential to prevent the 'domino effect' from causing premature termination of the FEE process.
    • Simultaneous removal of dead-ending rotamers, compared to immediate removal, demonstrated order dependence in results.
    • The novel tree-based search method significantly reduced the number of remaining conformations.
    • The FEE successfully identified the global minimum energy conformation for all tested protein segments under various conditions.

    Conclusions:

    • Recursive identification and handling of dead-ending rotameric states are crucial for the accurate and complete application of the fuzzy end elimination theorem.
    • The developed tree-based search offers a promising avenue for enhancing the efficiency of protein structure prediction algorithms.
    • The FEE method, when implemented with these improvements, demonstrates robust performance in identifying global minimum energy conformations and predicting side chain conformations.