Mobi 2.0
Mobi 2.0 annotates mobile regions and intrinsic disorder in protein structures to support analysis of protein dynamics.
Key Features:
- Robust Definitions of Mobility: Uses four indicators to define mobility: missing residues in PDB structures, elevated temperature factors (B-factors), inter-model variability among structure models, and mobility associated with binding to other proteins or nucleotides.
- Consensus Annotations: Aggregates data across multiple PDB structures mapped to a given UniProt protein sequence to produce consensus annotations of mobile regions.
- Standardization of Mobility Analysis: Applies uniform definitions and methodologies to enable consistent comparison of intrinsic disorder and mobility annotations across studies.
- Integration with MobiDB: Contributes structure-based mobility and disorder annotations to the MobiDB database.
Scientific Applications:
- Intrinsically Disordered Proteins (IDPs): Identifies and annotates mobile regions characteristic of proteins that lack a unique folded structure.
- Signaling and Molecular Recognition: Supports analysis of flexible regions involved in signaling pathways and molecular recognition events.
- Enzymatic Activity and Function: Annotates flexible segments relevant to enzymatic activity and functional modulation.
- Interaction Networks and Disease Mechanisms: Facilitates study of protein–protein and protein–nucleotide interactions and the implications of structural flexibility for disease mechanisms.
Methodology:
Performs comprehensive analysis of PDB data using indicators of mobility—missing residues, temperature factors (B-factors), inter-model variability, and binding-associated mobility—and aggregates structure-based annotations mapped to UniProt sequences to generate consensus annotations.
Topics
Details
- Tool Type:
- command-line tool
- Operating Systems:
- Linux, Mac
- Added:
- 6/20/2018
- Last Updated:
- 11/25/2024
Operations
Publications
Piovesan D, Tosatto SCE. Mobi 2.0: an improved method to define intrinsic disorder, mobility and linear binding regions in protein structures. Bioinformatics. 2017;34(1):122-123. doi:10.1093/bioinformatics/btx592. PMID:28968795.
PMID: 28968795
Funding: - Fondazione Italiana per la Ricerca sul Cancro: 16621
- Associazione Italiana per la Ricerca sul Cancro: IG17753