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.