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Are database-derived potentials valid for scoring both forward and inverted protein folding?

M J Rooman1, S J Wodak

  • 1Unité de Conformation des Macromolécules Biologiques, Université Libre de Bruxelles, Belgium.

Protein Engineering
|September 1, 1995
PubMed
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Knowledge-based potentials can score both forward and inverted protein folding. Correcting for many-body effects reveals potentials approximate folding free energy, a measure of protein stability.

Area of Science:

  • Computational Biology
  • Biophysics
  • Protein Folding

Background:

  • Database-derived potentials are commonly used for scoring protein sequence-conformation compatibility.
  • These scores are often interpreted as free energy differences, limiting their use to forward folding predictions.

Purpose of the Study:

  • To challenge the interpretation of database-derived potentials.
  • To demonstrate that these potentials can be adapted for both forward and inverted protein folding predictions.

Main Methods:

  • Analysis of many-body effects in database-derived potentials.
  • Derivation of potentials approximating folding free energy from sequence-structure frequencies.
  • Discussion of two denatured-like states for free energy calculation.

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Main Results:

  • Correcting for many-body effects allows potentials to approximate folding free energy.
  • This free energy difference can be derived from sequence-structure database frequencies.
  • The derived potentials are applicable to both forward and inverted folding problems.

Conclusions:

  • Database-derived potentials, when corrected, approximate folding free energy and measure protein stability.
  • This approach enables scoring of both forward and inverted protein folding.
  • The findings have implications for protein structure prediction using knowledge-based potentials.