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Easy adaptation of protein structure to sequence
G Chelvanayagam1, G Roy, P Argos
1European Molecular Biology Laboratory, Heidelberg, Germany.
Protein Engineering
|February 1, 1994
Summary
Protein structural properties show varying conservation. Coarse and medium-grained features are conserved, while fine-grained details are flexible, especially outside functional sites, aiding protein folding adaptation.
Area of Science:
- Structural biology
- Protein bioinformatics
- Computational biophysics
Background:
- Protein tertiary structures exhibit conserved features across families.
- Understanding structural conservation aids in predicting protein function and evolution.
Purpose of the Study:
- To investigate the conservation patterns of coarse, medium, and fine-grained structural properties in protein families.
- To correlate structural conservation with protein structural deviation and identify conserved core sizes.
- To evaluate factors influencing side chain torsion angle conservation for homology modeling.
Main Methods:
- Analysis of 175 protein tertiary structures from 34 families.
- Characterization of conserved sites within each protein family.
- Correlation analysis between structural properties, structural deviation, and sequence deviation.
- Estimation of minimal conserved core size.
Main Results:
- Coarse and medium-grained structural properties correlate with structural deviation.
- Fine-grained properties are poorly conserved, except in functional sites, indicating local structural adaptability.
- A minimal conserved core size of approximately 35% of the protein fold was estimated.
- Side chain torsion angle conservation, structural/sequence deviation, and resolution were used to identify suitable protein pairs for homology modeling tests.
Conclusions:
- Protein folding can be viewed as an optimization process allowing local adaptation to sequence variations.
- The identified conserved cores provide insights into essential structural elements.
- The study provides a framework for selecting protein structure pairs to test automatic homology modeling algorithms.