Improved Method for Assigning Protein Secondary Structure
Author Information
Author(s): Cubellis Maria Vittoria, Cailliez Fabien, Lovell Simon C
Primary Institution: Biochemistry Dept, University of Cambridge
Hypothesis
Can a new method based on main chain geometry provide a more accurate assignment of protein secondary structures?
Conclusion
The new method better assigns secondary structures, reflecting physical and evolutionary characteristics of proteins more accurately than existing methods.
Supporting Evidence
- The new method allows for the identification of secondary structures that do not have characteristic hydrogen bonding patterns.
- SEGNO showed better correlations with physical and evolutionary characteristics of proteins compared to existing methods.
- SEGNO assignments improved structure-guided sequence alignment in 61% of tested families.
Takeaway
This study created a new way to figure out how proteins are shaped, which helps scientists understand them better.
Methodology
The study developed a new algorithm called SEGNO that uses geometric parameters to assign secondary structures without relying on hydrogen bonding.
Limitations
The benchmarking against human assignments is no longer possible due to automatic assignments by the PDB.
Digital Object Identifier (DOI)
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