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The Ramachandran Number: An Order Parameter for Protein Geometry.
Ranjan V Mannige1, Joyjit Kundu1, Stephen Whitelam1
1Molecular Foundry, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA, United States of America.
Plos One
|August 5, 2016
Summary
A new Ramachandran number provides a compact way to describe protein secondary structures and disordered regions. This tool aids in analyzing protein geometry and visualizing structural patterns in large datasets.
Area of Science:
- Biophysics
- Materials Science
- Structural Biology
Background:
- Protein structures feature local order (secondary structures like α-helices, β-sheets) defined by dihedral angles (ϕ, ψ).
- Ramachandran plots visualize these angles, typically showing distinct regions for known secondary structures.
- Peptoid nanomaterials exhibit unique secondary structures occupying two Ramachandran plot regions, necessitating new descriptive methods.
Purpose of the Study:
- Introduce a novel 'Ramachandran number' for compactly describing regions on the Ramachandran plot.
- Develop a method to characterize 'higher-order' secondary structures, including those found in peptoids.
- Provide a versatile tool for analyzing protein geometry and structural patterns.
Main Methods:
- Defined a structurally meaningful combination of dihedral angles ϕ and ψ into a single Ramachandran number.
- Applied the Ramachandran number to characterize secondary structure motifs in proteins and peptoids.
- Utilized the Ramachandran number for visualizing structural data in large protein datasets.
Main Results:
- The Ramachandran number effectively describes geometric content of protein structures.
- Diagrams generated using the Ramachandran number reveal frequencies of secondary structures and disordered regions at a glance.
- Demonstrated the utility of the Ramachandran number for analyzing peptoid secondary structures.
Conclusions:
- The Ramachandran number offers a compact and informative descriptor for protein secondary structure.
- This new parameter facilitates rapid analysis and visualization of protein structural data.
- The Ramachandran number shows potential as an order parameter for diverse protein geometry applications.
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