CCCP
CCCP implements the Crick parameterization to parameterize coiled-coil and other helical protein structures and to delineate the designable structural space relevant to de novo protein design.
Key Features:
- Crick parameterization: Applies the Crick parameterization to coiled-coil structures and shows that over 95% of known α-helical coiled-coil structures fall within a 1-Å C(α) root mean square deviation (RMSD) from an idealized Crick backbone.
- Restricted geometric space: Reveals a highly constrained set of "allowed" coiled-coil conformations characterized by restricted axial offsets between helices with differences between parallel and anti-parallel configurations; preferred superhelical radii that correlate linearly with oligomerization state; amino acid propensities at α- and d-positions that depend on radius; and discrete rotational angles of helices about their axes that are consistent regardless of oligomerization state or orientation.
- Design space reduction: Estimates a reduction in the space of designable coiled-coil structures by at least 160-fold compared to geometrically feasible structures.
- Generalized helical parameterization framework: Provides a general mathematical framework for parameterizing arbitrary helical structures that reduces to the Crick parameterization as a special case and has been validated on non-coiled-coil helical bundles found in channels and transporter proteins.
- Parameter fitting and structure generation: Includes computational routines for coiled-coil parameter fitting and for generating structures from fitted parameters.
Scientific Applications:
- De novo protein design: Narrows candidate coiled-coil architectures and quantifies structural constraints to guide sequence-based design of novel coiled-coil assemblies.
- Structural biology research: Enables analysis of geometric and functional diversity of α-helical coiled coils and other helical bundles to inform studies of folding and stability.
- Biotechnological applications: Provides structural parameter insights that can be applied to engineering proteins with specific geometric and interaction properties for industrial or therapeutic purposes.
Methodology:
Computational methods explicitly include application of the Crick parameterization to coiled coils, coiled-coil parameter fitting, structure generation from parameters, and a generalized mathematical helical parameterization validated on non-coiled-coil helical bundles in channels and transporter proteins.
Topics
Collections
Details
- Tool Type:
- command-line tool
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- MATLAB
- Added:
- 8/3/2017
- Last Updated:
- 11/25/2024
Operations
Data Inputs & Outputs
Protein sequence analysis
Publications
Grigoryan G, DeGrado WF. Probing Designability via a Generalized Model of Helical Bundle Geometry. Journal of Molecular Biology. 2011;405(4):1079-1100. doi:10.1016/j.jmb.2010.08.058. PMID:20932976. PMCID:PMC3052747.