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Related Experiment Videos

The protein folding problem: a biophysical enigma.

J S Fetrow1, A Giammona, A Kolinski

  • 1GeneFormatics, Incorporated, 5830 Oberlin Drive, Suite 200, San Diego, CA 92121, USA. jacquefetrow@geneformatics.com

Current Pharmaceutical Biotechnology
|December 5, 2002
PubMed
Summary
This summary is machine-generated.

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Proteins·2008

Understanding protein folding, how amino acid sequences form 3D shapes, is crucial for genomics. Current prediction methods like comparative modeling, threading, and ab initio folding are advancing structure-based genomic annotation.

Area of Science:

  • Biochemistry
  • Structural Biology
  • Bioinformatics

Background:

  • Protein folding, determining 3D structure from amino acid sequences, is a fundamental biological challenge.
  • Genomic sequencing advancements necessitate accurate understanding of encoded gene products.
  • Full comprehension of protein folding kinetics and thermodynamics remains an open research area.

Purpose of the Study:

  • To review the current state of protein structure prediction techniques.
  • To assess the applicability of these methods for proteome-wide analysis.
  • To identify remaining technical challenges in protein folding research.

Main Methods:

  • Comparative modeling: predicting structure based on known homologous structures.
  • Threading (or profile-based modeling): fitting sequences to known folds.

Related Experiment Videos

  • Ab initio folding: predicting structure from physical principles without templates.

    • Main Results:

    • Significant progress has been made in protein structure prediction methodologies.
    • Each prediction class (comparative modeling, threading, ab initio) has distinct strengths and limitations.
    • These prediction technologies are becoming valuable tools for genomic sequence annotation.

    Conclusions:

    • Protein folding prediction methods are advancing, aiding in the interpretation of genomic data.
    • While a complete understanding of protein folding is still developing, current tools enable structure-based annotation.
    • Overcoming remaining technical hurdles will further enhance the utility of these predictive approaches.