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Protein secondary structure assignment revisited: a detailed analysis of different assignment methods
Juliette Martin1, Guillaume Letellier, Antoine Marin
1INRA, Unité Mathématiques Informatique et Génome, Domaine de Vilvert, 78352 Jouy en Josas Cedex, France. juliette.martin@jouy.inra.fr
BMC Structural Biology
|September 17, 2005
Summary
A new method, KAKSI, improves automatic protein secondary structure assignment by favoring regular helices and strands. It offers more consistent segment identification than existing tools.
Area of Science:
- Structural Biology
- Bioinformatics
- Computational Chemistry
Background:
- Automatic assignment of periodic secondary structures from atomic coordinates is crucial for protein analysis.
- Existing methods struggle with ill-defined segment termini and a
Purpose of the Study:
- To develop a novel method for secondary structure assignment that addresses limitations of existing approaches.
- To improve the accuracy and consistency of identifying protein secondary structure elements.
Main Methods:
- Developed KAKSI, a new algorithm for secondary structure assignment.
- Compared KAKSI assignments against DSSP, STRIDE, XTLSSTR, PSEA, SECSTR, and PDB data.
- Evaluated performance on diverse datasets including X-ray and NMR structures.
Main Results:
- KAKSI assigns slightly longer helices and strands compared to STRIDE, favoring regularity.
- KAKSI identifies more linear helices with geometrical characteristics aligning with PDB standards.
- The method tends to split long segments, assigning shorter, more regular structures.
Conclusions:
- KAKSI provides valuable secondary structure assignments.
- The method favors regularity in secondary structure segments, enhancing structural analysis.