RPpocket
RPpocket analyzes RNA-protein complex structures to characterize pocket topology and structural determinants of RNA-protein recognition.
Key Features:
- Curated dataset: Contains a curated dataset of 793 pockets extracted from 74 non-redundant RNA-protein complex structures.
- Pocket extraction: Extracts pockets from RNA-protein complex structures for structural analysis.
- Binding vs non-binding comparison: Analyzes and compares topological properties of binding and non-binding pockets.
- Topology characteristics: Reports that binding pockets tend to be more extended than non-binding pockets.
- Force contribution analysis: Assesses the predominance of long-range forces in initial recognition and the role of short-range forces in stabilization and optimization of interactions.
- Sequence and secondary structure annotation: Provides detailed sequence, secondary structure, and pocket topology information for each pocket.
Scientific Applications:
- Mechanistic studies: Enables investigation of structural mechanisms underlying RNA-protein recognition and interaction.
- RNA-protein engineering: Supports RNA-protein engineering by supplying pocket topology, sequence, and secondary structure data relevant to design.
- Therapeutic development: Informs development of therapeutic strategies by characterizing pocket properties relevant to molecular recognition.
- Comparative structural analysis: Facilitates identification of determinants of binding through comparison of binding and non-binding pockets.
Methodology:
Pockets were extracted from 74 non-redundant RNA-protein complex structures to compile a curated dataset of 793 pockets, followed by comparative topological analysis of binding versus non-binding pockets and assessment of long-range versus short-range force contributions.
Topics
Details
- Cost:
- Free of charge
- Tool Type:
- web application
- Operating Systems:
- Mac, Linux, Windows
- Added:
- 9/28/2022
- Last Updated:
- 11/24/2024
Operations
Publications
Yang R, Liu H, Yang L, Zhou T, Li X, Zhao Y. RPpocket: An RNA–Protein Intuitive Database with RNA Pocket Topology Resources. International Journal of Molecular Sciences. 2022;23(13):6903. doi:10.3390/ijms23136903. PMID:35805909. PMCID:PMC9266927.
DOI: 10.3390/ijms23136903
PMID: 35805909
PMCID: PMC9266927
Funding: - National Natural Science Foundation of China: 12175081, CCNU20TS004
- Central China Normal University from the colleges’ basic research and operation of MOE: 12175081, CCNU20TS004