LCRAnnotationsDB: a database of low complexity regions functional and structural annotations

Low Complexity Regions (LCRs) are segments of proteins with a low diversity of amino acid composition. These regions play important roles in proteins. However, annotations describing these functions are dispersed across databases and scientific literature. LCRAnnotationsDB aims to consolidate knowledge about LCRs and store relevant annotations in a single place. To unify redundant annotations, we assigned them categories based on similarity in function, protein structure, and biological process. Categories are organized hierarchically by linking them to Gene Ontology terms. The LCRAnnotationsDB database can be accessed at https://lcrannotdb.lcr-lab.org/ .

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Publication Details

Journal
BMC Genomics
Published
2024-12-27
DOI
https://doi.org/10.1186/s12864-024-10960-5
Citations
2
Primary Topic
Bioinformatics and Genomic Networks
Type
article
Field-Weighted Citation Impact
0.47

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article

LCRAnnotationsDB: a database of low complexity regions functional and structural annotations

Marcin Grynberg, Patryk Jarnot, Wiktoria Śliwińska, Hanna Langer-Macioł et al.
2 citations
BMC Genomics
Bioinformatics and Genomic Networks
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article

LCRAnnotationsDB: a database of low complexity regions functional and structural annotations

Marcin Grynberg, Patryk Jarnot, Wiktoria Śliwińska, Hanna Langer-Macioł, Aleksandra Gruca, Kinga Lucińska, Joanna Ziemska-Legięcka, Karolina Widzisz, Alicja Staśczak, Hanna Słowik, Sylwia Szymańska, Dagmara Błaszczyk, Aleksandra Janas
article en
2 citations

Abstract

Low Complexity Regions (LCRs) are segments of proteins with a low diversity of amino acid composition. These regions play important roles in proteins. However, annotations describing these functions are dispersed across databases and scientific literature. LCRAnnotationsDB aims to consolidate knowledge about LCRs and store relevant annotations in a single place. To unify redundant annotations, we assigned them categories based on similarity in function, protein structure, and biological process. Categories are organized hierarchically by linking them to Gene Ontology terms. The LCRAnnotationsDB database can be accessed at https://lcrannotdb.lcr-lab.org/ .

BMC GenomicsVol. 25(1)
Silesian University of Technology (PL), Jagiellonian University (PL), Institute of Biochemistry and Biophysics, Polish Academy of Sciences (PL), The Maria Sklodowska-Curie National Research Institute of Oncology (PL)
Silesian University of Technology
Openalex Percentile: Top 33%
Bioinformatics and Genomic Networks
0.47
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