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Related Experiment Videos

The protein folding problem: when will it be solved?

Ken A Dill1, S Banu Ozkan, Thomas R Weikl

  • 1Department of Pharmaceutical Chemistry, University of California, San Francisco, CA 94143, USA. dill@maxwell.ucsf.edu

Current Opinion in Structural Biology
|June 19, 2007
PubMed
Summary
This summary is machine-generated.

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Protein folding is now understood through thermodynamic codes and computational prediction, solving Levinthal's paradox. Proteins fold rapidly by prioritizing local decisions before global ones.

Area of Science:

  • Biochemistry
  • Computational Biology
  • Structural Biology

Background:

  • The protein folding problem encompasses thermodynamic codes, structure prediction algorithms, and kinetic mechanisms.
  • Historically a grand challenge, significant advancements have been made in understanding protein folding.

Purpose of the Study:

  • To summarize recent progress in addressing the multifaceted protein folding problem.
  • To explain the current understanding of protein folding thermodynamics, kinetics, and prediction.

Main Methods:

  • Utilizing thermodynamic folding codes for protein and polymer design.
  • Leveraging computational structure prediction techniques, enhanced by the CASP competition.
  • Analyzing kinetic mechanisms to explain rapid protein folding.

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Main Results:

  • Folding codes are now effective in designing novel proteins and polymers.
  • Protein structure prediction accuracy has significantly improved.
  • Levinthal's paradox is resolved by a hierarchical folding mechanism: local decisions precede global ones.

Conclusions:

  • The protein folding problem is largely understood, with effective solutions for design and prediction.
  • Proteins fold efficiently by a strategy of sequential decision-making, from local to global levels.