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Related Experiment Videos

Ab initio protein structure prediction.

Corey Hardin1, Taras V Pogorelov, Zaida Luthey-Schulten

  • 1Center for Biophysics and Computational Biology, University of Illinois, 600 South Mathews Avenue, Urbana, Illinois 61801, USA.

Current Opinion in Structural Biology
|April 18, 2002
PubMed
Summary
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Ab initio protein folding methods predict low-resolution protein structures for functional annotation. Advances focus on improved energy functions and landscape search strategies for more reliable protein structure prediction.

Area of Science:

  • Computational Biology
  • Structural Bioinformatics
  • Biophysics

Background:

  • Significant progress in ab initio protein folding allows prediction of low-resolution structures for proteins up to ~100 residues.
  • These structures aid in genome-wide functional annotation of protein sequences.
  • Challenges in developing general protein structure prediction theories are increasingly understood.

Purpose of the Study:

  • To review recent advances in ab initio protein structure prediction.
  • To highlight improvements in energy functions used in prediction algorithms.
  • To discuss strategies for navigating protein energy landscapes during structure prediction.

Main Methods:

  • Review of current ab initio protein folding methodologies.
  • Analysis of advancements in energy function development.

Related Experiment Videos

  • Examination of search strategies for protein energy landscapes.

    • Main Results:

    • Current methods can predict low-resolution structures for small proteins and fragments.
    • Energy landscapes in prediction algorithms are not fully funneled to the native state.
    • Recent work has improved energy functions and landscape search techniques.

    Conclusions:

    • Ab initio protein folding shows steady progress, with low-resolution predictions valuable for annotation.
    • Understanding energy landscape challenges is key to developing reliable prediction algorithms.
    • Improvements in energy functions and search strategies are critical for advancing the field.