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