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Spatial, sequence-order-independent structural comparison of alpha/beta proteins: evolutionary implications
D Fischer1, H Wolfson, R Nussinov
1Computer Science Department, School of Mathematical Sciences, Tel Aviv University, Israel.
Journal of Biomolecular Structure & Dynamics
|October 1, 1993
Summary
This study introduces a novel computer vision method for analyzing protein structures, disregarding amino acid sequence order. This approach aids in identifying structural motifs and understanding protein evolution and folding by comparing spatial arrangements.
Area of Science:
- Structural biology
- Bioinformatics
- Computational biology
Background:
- Protein structure analysis traditionally relies on sequence order.
- Identifying structural motifs independent of sequence order is crucial for understanding protein evolution and function.
- Existing methods may not fully capture spatial similarities when sequence order varies.
Purpose of the Study:
- To develop and present a sequence-order independent computational technique for analyzing three-dimensional protein structures.
- To identify and catalog spatially similar substructural motifs irrespective of amino acid sequence.
- To investigate the implications of sequence-order independent motifs for protein evolution (divergent vs. convergent) and protein folding.
Main Methods:
- A novel, efficient, computer vision-based technique is employed.
- The method treats atoms or residues as unconnected points in space, using only atomic coordinates.
- Sequence order is completely disregarded, focusing solely on spatial relationships.
Main Results:
- The technique successfully detects, catalogs, and analyzes three-dimensional, sequence-order independent motifs.
- Application to alpha/beta proteins revealed that while some proteins benefit from classical alignments, others show better geometrical matches with sequence-order independent equivalencing.
- This suggests that truly spatial motifs can be conserved even when amino acid positions in the sequence vary.
Conclusions:
- The developed sequence-order independent approach is a powerful tool for protein structure analysis and protein folding studies.
- It offers insights into evolutionary processes, distinguishing between divergent and convergent evolution based on motif conservation.
- The method provides a more comprehensive understanding of protein structure-function relationships by uncovering spatial motifs hidden by sequence variations.