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 knowle...

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Bibliographic Details
Published in:BMC genomics Vol. 25; no. 1; pp. 1251 - 14
Main Authors: Ziemska-Legiecka, Joanna, Jarnot, Patryk, Szymańska, Sylwia, Błaszczyk, Dagmara, Staśczak, Alicja, Langer-Macioł, Hanna, Lucińska, Kinga, Widzisz, Karolina, Janas, Aleksandra, Słowik, Hanna, Śliwińska, Wiktoria, Gruca, Aleksandra, Grynberg, Marcin
Format: Journal Article
Language:English
Published: London BioMed Central 27.12.2024
BioMed Central Ltd
Springer Nature B.V
BMC
Subjects:
Amino acid composition
Amino acids
Animal Genetics and Genomics
Annotation
Annotations
Automation
Biological activity
Biomedical and Life Sciences
Complexity
Composers
Computational Biology - methods
Databases, Protein
Functionals
Gene Ontology
Genetic research
Humans
Information sources
LCD
LCR
Life Sciences
Low complexity regions
Methods
Microarrays
Microbial Genetics and Genomics
Molecular Sequence Annotation
Nucleotide sequence
Online databases
Ontology
Plant Genetics and Genomics
Protein
Protein structure
Proteins
Proteins - chemistry
Proteins - metabolism
Proteomics
Structure
Structure-function relationships
Poland
Function
Integration
Low complexity regions
Database
LCR
LCD
Structure
Protein
Annotation
ISSN:1471-2164, 1471-2164
Online Access:Get full text
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Description
Summary: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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ISSN:1471-2164
1471-2164
DOI:10.1186/s12864-024-10960-5