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A method to identify protein sequences that fold into a known three-dimensional structure.

J U Bowie1, R Lüthy, D Eisenberg

  • 1Molecular Biology Institute, University of California, Los Angeles 90024-1570.

Science (New York, N.Y.)
|July 12, 1991
PubMed
Summary

This study introduces a 3D profile method to solve the inverse protein folding problem by matching amino acid sequences to residue environments. The method successfully identifies structural similarities between proteins with no sequence similarity, like actins and heat shock proteins.

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Area of Science:

  • Biochemistry
  • Structural Biology
  • Computational Biology

Background:

  • The inverse protein folding problem seeks amino acid sequences for a given 3D protein structure.
  • Understanding protein sequence-structure relationships is crucial for molecular biology and drug design.

Purpose of the Study:

  • To present and validate a 3D profile method for solving the inverse protein folding problem.
  • To demonstrate the method's ability to identify structural similarities between evolutionarily distant proteins.

Main Methods:

  • Characterizing residue environments based on burial area, polar atom coverage, and local secondary structure.
  • Developing a compatibility scoring system for amino acid sequences within these defined environments.
  • Applying the 3D profile method to diverse protein families including globins, cyclic AMP receptor-like proteins, periplasmic binding proteins, and actins.

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Main Results:

  • The 3D profile method effectively predicts amino acid sequences compatible with specific protein structural environments.
  • The method successfully identified structural homology between actins and 70-kilodalton heat shock proteins.
  • This structural similarity was detected despite a complete lack of sequence similarity between these protein families.

Conclusions:

  • The 3D profile method provides a powerful approach to the inverse protein folding problem.
  • This method can uncover hidden structural relationships between proteins, advancing our understanding of protein evolution and function.
  • The approach has implications for protein design and engineering.