RBP2GO
RBP2GO aggregates proteome-wide datasets from 53 studies across 13 species (105 datasets) to catalog 22,552 RNA-binding protein (RBP) candidates and integrate their interaction partners and functional annotations for comparative analysis.
Key Features:
- Dataset aggregation: Aggregates proteome-wide datasets from 53 studies across 13 species comprising 105 datasets.
- RBP candidate compilation: Identifies and catalogs 22,552 RBP candidates.
- Interaction and functional annotation integration: Integrates data on RBP interaction partners and annotations of biological processes, molecular functions, and cellular compartments.
- RBP scoring system: Implements an RBP scoring system to assess RBP candidates.
- Search modes: Supports forward and reverse searches to link biological functions or processes with corresponding RBPs.
- Comparative screening: Enables cross-study and cross-species comparison and screening of RBP-related data.
Scientific Applications:
- RBP role exploration: Exploring multifaceted roles of RBPs in cellular pathways and functions and their implications for health and disease.
- Functional association mapping: Connecting specific biological processes, molecular functions, or cellular compartments with corresponding RBPs through forward and reverse searches.
- Cross-study and cross-species analysis: Screening and comparative analysis of RBP datasets across 13 species and multiple studies.
Methodology:
Aggregation of proteome-wide datasets from 53 studies across 13 species (105 datasets) and integration of RBP interaction partners with annotations of biological processes, molecular functions, and cellular compartments; implementation of an RBP scoring system and support for forward and reverse searches.
Topics
Details
- Added:
- 1/18/2021
- Last Updated:
- 11/24/2024
Operations
Publications
Caudron-Herger M, Jansen RE, Wassmer E, Diederichs S. RBP2GO: a comprehensive pan-species database on RNA-binding proteins, their interactions and functions. Nucleic Acids Research. 2020;49(D1):D425-D436. doi:10.1093/nar/gkaa1040. PMID:33196814. PMCID:PMC7778890.