ConSole
ConSole identifies solenoid protein structures and their repeat units by analyzing protein contact map modularity to enable structural-level analysis of highly sequence-divergent solenoid proteins.
Key Features:
- Recognition of Solenoid Structures: Detects solenoid protein architectures by analyzing modularity in protein contact maps.
- Identification of Repeat Units: Precisely delineates individual repeat units within detected solenoid structures.
- High Accuracy: Demonstrates higher recognition accuracy than Raphael on benchmark datasets.
- Improvement of Sequence Recognition: Enhances sequence motif recognition and detects irregularities in repeat lengths across solenoid protein families.
Scientific Applications:
- Structural analysis of periodic proteins: Provides a structural-level method for studying periodic and repeat-containing proteins where sequence divergence limits sequence-based approaches.
- Functional inference from repeat modularity: Uses detected modularity in contact maps to inform hypotheses about the functional implications of solenoid repeats and their variations.
- Study of specific solenoid families: Applied to three specific solenoid protein families to improve sequence recognition and identify irregularities in repeat lengths.
Methodology:
ConSole employs an algorithm that analyzes protein contact maps to detect modularity indicative of solenoid structures.
Topics
Details
- License:
- GPL-3.0
- Tool Type:
- command-line tool
- Programming Languages:
- Python
- Added:
- 5/22/2018
- Last Updated:
- 12/10/2018
Operations
Publications
Hrabe T, Godzik A. ConSole: using modularity of Contact maps to locate Solenoid domains in protein structures. BMC Bioinformatics. 2014;15(1). doi:10.1186/1471-2105-15-119. PMID:24766872. PMCID:PMC4021314.