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Calculation of protein domain structural similarity using two-dimensional representations.
Benjamin C P Allen1, Guy H Grant, W Graham Richards
1Central Chemistry Laboratory, University of Oxford, South Parks Road, Oxford OX1 3QH, United Kingdom.
Journal of Chemical Information and Computer Sciences
|January 28, 2003
Summary
Reducing protein structures to 2D representations with amino acid similarity significantly speeds up protein alignment and similarity index calculations, improving accuracy with minimal time cost.
Area of Science:
- Bioinformatics
- Computational Biology
- Structural Bioinformatics
Background:
- Protein structure alignment is crucial for understanding protein function and evolution.
- Traditional 3D structure alignment methods can be computationally intensive and slow.
- Developing faster and more accurate protein comparison techniques is essential.
Purpose of the Study:
- To investigate the efficiency of 2D protein structure representations for faster alignment.
- To evaluate the effectiveness of amino acid-based representations in protein discrimination.
- To enhance the accuracy of similarity calculations by incorporating amino acid similarity.
Main Methods:
- Representing protein structures in 2D formats.
- Utilizing amino acid-based representations for comparative analysis.
- Calculating similarity indices based on these 2D representations.
- Incorporating relative amino acid similarity into the calculations.
Main Results:
- 2D representations significantly accelerate structure alignment compared to 3D.
- Amino acid-based 2D representations offer superior discrimination between proteins.
- The method achieves faster calculation times for similarity indices.
- Accounting for amino acid similarity led to improved accuracy.
Conclusions:
- 2D protein structure representations offer a computationally efficient alternative for alignment.
- Amino acid-based 2D methods provide enhanced protein discrimination and faster similarity calculations.
- Incorporating relative amino acid similarity optimizes accuracy without substantial time overhead.