RRDB

RRDB provides a non-redundant dataset for computational determination of RNA-RNA complex structures to support analysis of noncoding RNA interactions and RNA-RNA docking studies.


Key Features:

  • Dataset composition: Contains 123 distinct targets comprising 78 unbound-unbound and 45 bound-unbound (or unbound-bound) test cases.
  • Difficulty classification: Classifies targets into three difficulty levels (easy: 47, medium: 38, difficult: 38) based on conformational changes at the interface between bound and unbound structures.
  • Bound and unbound cases: Provides both bound and unbound structures for targets to enable assessment of conformational variation in docking.
  • Non-redundancy and focus: Assembles a non-redundant dataset tailored for RNA-RNA docking studies and analysis of noncoding RNAs.
  • Benchmark testing: Has been tested using ZDOCK 2.1 to characterize docking difficulty and benchmark docking and scoring algorithms.

Scientific Applications:

  • Benchmarking: Benchmarking and evaluation of docking and scoring algorithms for RNA-RNA interactions using bound and unbound cases.
  • Method development: Development and optimization of computational methods that predict RNA-RNA complex structures.
  • Mechanistic studies: Investigation of conformational changes and molecular mechanisms underlying RNA-RNA interactions, including noncoding RNAs.

Methodology:

Targets were compiled and classified into unbound-unbound and bound-unbound (or unbound-bound) cases, categorized by interface conformational changes into easy/medium/difficult levels, and benchmarked using ZDOCK 2.1.

Topics

Details

Tool Type:
web application
Operating Systems:
Linux, Windows, Mac
Added:
6/20/2018
Last Updated:
11/25/2024

Operations

Publications

Yan Y, Huang S. RRDB: a comprehensive and non-redundant benchmark for RNA–RNA docking and scoring. Bioinformatics. 2017;34(3):453-458. doi:10.1093/bioinformatics/btx615. PMID:29028888.

PMID: 29028888
Funding: - National Natural Science Foundation of China: 31670724

Documentation