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.

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