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Related Experiment Video

Updated: May 14, 2026

Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules
10:58

Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules

Published on: July 25, 2013

Evolutionary information for specifying a protein fold.

Michael Socolich1, Steve W Lockless, William P Russ

  • 1Howard Hughes Medical Institute, University of Texas Southwestern Medical Center, Dallas, Texas 75390-9050, USA.

Nature
|September 24, 2005
PubMed
Summary
This summary is machine-generated.

Scientists defined protein folding rules using only amino acid sequence data. Artificial proteins designed with coevolutionary information successfully folded into native structures, simplifying the protein-folding problem.

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Area of Science:

  • Protein biochemistry
  • Computational biology
  • Structural biology

Background:

  • The amino acid sequence of proteins dictates their tertiary structure.
  • Understanding protein folding rules is crucial for predicting protein structure and function.

Purpose of the Study:

  • To define sequence rules for protein folding using computational methods.
  • To investigate if statistical information from multiple sequence alignments is sufficient for specifying protein folds.

Main Methods:

  • Computationally generated artificial protein sequences using statistical information from multiple sequence alignments.
  • Experimentally tested libraries of artificial WW domain sequences.
  • Utilized a statistical energy function capturing residue coevolution.
  • Determined the atomic resolution structure of an artificial protein.

Main Results:

  • A simple statistical energy function was necessary and sufficient to specify sequences that fold into native structures.
  • Artificial WW domain proteins exhibited thermodynamic stabilities comparable to natural WW domains.
  • The determined structure of an artificial protein showed high agreement with the native WW fold.

Conclusions:

  • Protein folding can be specified using only statistical information from amino acid sequences, particularly coevolutionary data.
  • The protein-folding problem may be less complex than previously thought.
  • This approach provides a simplified method for designing proteins with specific folds and functions.