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Updated: Jan 30, 2026
08:04
DNA Sequence Recognition by DNA Primase Using High-Throughput Primase Profiling
Published on: October 8, 2019
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RRMdb-an evolutionary-oriented database of RNA recognition motif sequences.
Martyna Nowacka1, Pietro Boccaletto1, Elzbieta Jankowska1
1Laboratory of Bioinformatics and Protein Engineering, International Institute of Molecular and Cell Biology in Warsaw, Warsaw, Poland.
Database : the Journal of Biological Databases and Curation
|January 17, 2019
Summary
The RNA-recognition motif database (RRMdb) aids in identifying RNA-binding protein domains. It classifies ~57,000 RRM sequences into 415 families, aiding RNA metabolism research.
Area of Science:
- Molecular Biology
- Bioinformatics
Background:
- RNA-recognition motifs (RRMs) are crucial protein domains involved in RNA metabolism.
- Processes include splicing, editing, export, degradation, and translation regulation.
Purpose of the Study:
- To present the RNA-recognition motif database (RRMdb).
- To enable rapid identification and annotation of RRM domains in protein sequences.
Main Methods:
- Compiled ~57,000 representative RRM domain sequences.
- Classified sequences into 415 families.
- Organized families into a network of sequence similarities.
Main Results:
- RRMdb provides a comprehensive resource for RRM domain analysis.
- Families are linked to literature and structural data where available.
- Sequence similarity network facilitates evolutionary relationship assessment.
Conclusions:
- RRMdb is a valuable tool for studying RNA-binding proteins.
- Facilitates research into RNA metabolism and RRM domain evolution.
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