LRRML: A Database for Leucine-Rich Repeats
Author Information
Author(s): Wei Tiandi, Gong Jing, Jamitzky Ferdinand, Heckl Wolfgang M, Stark Robert W, Rössle Shaila C
Primary Institution: Ludwig-Maximilians-Universität München
Hypothesis
A conformational database for leucine-rich repeats (LRRs) is needed to aid in homology modeling of LRR proteins.
Conclusion
LRRML serves as a valuable resource for researchers studying LRR proteins and is available for public use.
Supporting Evidence
- LRRML contains 1261 individual LRR structures identified from 112 PDB structures.
- The database provides a source for homology modeling and structural analysis of LRR proteins.
- Manual classification of LRRs was performed based on their consensus sequences.
Takeaway
Scientists created a special database to help understand proteins that have repeating parts called leucine-rich repeats, which are important for how proteins interact.
Methodology
The database was constructed by extracting LRR proteins from the Protein Data Bank and manually annotating their structures.
Limitations
The database may not include all LRR proteins due to the limitations of existing databases and the need for manual identification.
Digital Object Identifier (DOI)
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