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Updated: Aug 1, 2026
16:41
A Protocol for Computer-Based Protein Structure and Function Prediction
Published on: November 3, 2011
Repeat protein architectures predicted by a continuum representation of fold space
Andrew C Hausrath1, Alain Goriely
1Department of Biochemistry and Molecular Biophysics, University of Arizona, Tucson, 85721, USA. hausrath@email.arizona.edu
Protein Science : a Publication of the Protein Society
|March 9, 2006
Summary
Researchers explored protein fold possibilities using a novel mapping method for helical repeats. This systematic approach identified both existing and new protein folds, advancing our understanding of protein architecture.
Area of Science:
- * Structural biology
- * Bioinformatics
- * Computational chemistry
Background:
- * The complete set of possible protein folds remains an open question in structural biology.
- * Understanding the diversity of protein architectures is crucial for predicting protein function and designing novel proteins.
Purpose of the Study:
- * To develop a systematic method for exploring the protein fold space of helical repeats.
- * To determine if all possible helical repeat protein folds have been realized in nature.
Main Methods:
- * Developed a mapping between repetitive curves and a parameter space defining these curves.
- * Explored the parameter space for the helical repeat protein architecture.
- * Analyzed a planar subspace of the helical repeat parameter space.
Main Results:
- * Identified specific points within the parameter space corresponding to naturally occurring helical repeat protein folds.
- * Discovered points in the parameter space representing potential helical repeat folds not yet observed in nature.
- * Demonstrated a method for systematically exploring fold space within a specific protein architecture.
Conclusions:
- * The study provides a framework for systematically exploring the potential protein fold space.
- * Findings suggest that nature may not have utilized all possible helical repeat protein folds.
- * The identified novel folds represent targets for future experimental validation and protein design.
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