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Related Experiment Videos

Predicting structures for genome proteins.

D Fischer1, D Eisenberg

  • 1Faculty of Natural Science, Department of Math and Computer Science, Beer-Sheva, 84015, Israel. dfischer@cs.bgu.ac.il

Current Opinion in Structural Biology
|May 14, 1999
PubMed
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Computational fold assignment aids understanding protein function by predicting 3D structures from genome sequences. This method currently assigns folds to 20-30% of sequences, with an 18% annual growth rate.

Area of Science:

  • Structural bioinformatics
  • Genomics
  • Computational biology

Background:

  • Understanding protein function relies on determining three-dimensional (3D) protein folds.
  • Experimental determination of 3D protein structures is limited to a small fraction of known genome sequences.

Purpose of the Study:

  • To assess the capability of computational fold assignment in predicting 3D protein structures from genome sequences.
  • To evaluate the current and projected progress in computational structure prediction.

Main Methods:

  • Utilizing computational methods for fold assignment to analyze genome sequences.
  • Tracking the percentage of genome sequences to which folds can be assigned.

Main Results:

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  • Computational fold assignment successfully assigns 3D folds to 20-30% of sequences across various genomes.
  • The proportion of assignable sequences is increasing annually by approximately 18%.

    • Conclusions:

    • Computational fold assignment is a valuable tool for inferring protein function from genome sequences.
    • Continued advancements suggest over half of genome sequences may have computational 3D models by 2003 if current trends persist.