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Evaluation of variability in high-resolution protein structures by global distance scoring
Risa Anzai1, Yoshiki Asami1, Waka Inoue1
1Department of Life Science, Gakushuin University, 1-5-1 Mejiro, Toshima-ku, Tokyo 171-8588, Japan.
Heliyon
|March 22, 2018
Summary
This study introduces intramolecular distance scoring for global protein analysis. This method offers a new way to understand atomic-level structural variations and compare protein families across species.
Area of Science:
- Structural biology
- Computational biology
- Biophysics
Background:
- Systematic analysis of protein statistical and dynamical properties is crucial for understanding cellular events.
- Current protein structure comparisons are primarily pairwise, limiting global analysis of the growing Protein Data Bank and introducing reproducibility issues.
- Extracting mechanistic details from high-resolution protein structures aids in understanding protein family functions.
Purpose of the Study:
- To introduce and validate a novel method for the global analysis of proteins using intramolecular distance scoring.
- To enable comprehensive overview of protein and protein family advances at the atomic level.
- To provide new criteria for understanding specific structural variation and enable global comparison of protein variability across species.
Main Methods:
- Development of an intramolecular distance scoring method for global protein analysis.
- Application of the method to a pilot study of 300 human proteins with available high-resolution structures.
- Interpretation of model calculations to understand specific structural variations.
Main Results:
- Demonstrated the comprehensive utility of intramolecular distance scoring for analyzing protein and protein family advances at the atomic level.
- Successfully applied the method to 300 human proteins.
- The method provides new criteria for understanding structural variation.
Conclusions:
- Intramolecular distance scoring facilitates global analysis of proteins, overcoming limitations of pairwise comparisons.
- This approach enables a detailed, atomic-level overview of protein structural dynamics and variability.
- The method supports rational comparison of protein families and understanding of evolutionary or functional divergence across species.
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