ArticleNucleic acids research2019
Low complexity regions in the proteins of prokaryotes perform important functional roles and are highly conserved.
Article in Nucleic acids research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.
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Who cites it
41 citing papers in PubMed, 64 citations in OpenAlex.
- A benchmarking framework for comparative evaluation of low-complexity region detection tools in the human proteome.Scientific reports · 2026Article
- Phylogenetic Studies on Taurine Dioxygenase (TauD).Current microbiology · 2025Article
- Serum metabolomics reveals systemic metabolic alterations of Graves' disease before and after antithyroid drug treatment.Endocrine connections · 2025Article
- Low-complexity regions in fungi display functional groups and are depleted in positively charged amino acids.NAR genomics and bioinformatics · 2025Article
- Native Mass Spectrometry Captures the Conformational Plasticity of Proteins with Low-Complexity Domains.JACS Au · 2025Article
- Characterization and design of dipeptide media formulation for scalable therapeutic production.Applied microbiology and biotechnology · 2025Review
- Higher frequency of prokaryotic low complexity regions in core and orthologous genes.Frontiers in bioinformatics · 2025Article
- The Antimicrobial Peptide Pipeline: A Bacteria-Centric AMP Predictor.Current gene therapy · 2025Article
- LCRAnnotationsDB: a database of low complexity regions functional and structural annotations.BMC genomics · 2024Article
- Review
- Identification of Low-Complexity Domains by Compositional Signatures Reveals Class-Specific Frequencies and Functions Across the Domains of Life.PLoS computational biology · 2024Article
- Bioinformatics tools for the sequence complexity estimates.Biophysical reviews · 2023Review
- MIF-like domain containing protein orchestrates cellular differentiation and virulence in the fungal pathogeniScience · 2023Article
- Convergent behavior of extended stalk regions from staphylococcal surface proteins with widely divergent sequence patterns.Protein science : a publication of the Protein Society · 2023Article
- Compensatory relationship between low-complexity regions and gene paralogy in the evolution of prokaryotes.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- The development progress of multi-array colourimetric sensors based on the M13 bacteriophage.Nano convergence · 2023Review
- Disease association and comparative genomics of compositional bias in human proteins.F1000Research · 2023Article
- The LCD-Composer webserver: high-specificity identification and functional analysis of low-complexity domains in proteins.Bioinformatics (Oxford, England) · 2022Article
- Metabolite Changes during the Transition from Hyperthyroidism to Euthyroidism in Patients with Graves' Disease.Endocrinology and metabolism (Seoul, Korea) · 2022Article
- Insights from analyses of low complexity regions with canonical methods for protein sequence comparison.Briefings in bioinformatics · 2022Article
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Authors and funding
8 authors at 5 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We provide the first high-throughput analysis of the properties and functional role of Low Complexity Regions (LCRs) in more than 1500 prokaryotic and phage proteomes. We observe that, contrary to a widespread belief based on older and sparse data, LCRs actually have a significant, persistent and highly conserved presence and role in many and diverse prokaryotes. Their specific amino acid content is linked to proteins with certain molecular functions, such as the binding of RNA, DNA, metal-ions and polysaccharides. In addition, LCRs have been repeatedly identified in very ancient, and usually highly expressed proteins of the translation machinery. At last, based on the amino acid content enriched in certain categories, we have developed a neural network web server to identify LCRs and accurately predict whether they can bind nucleic acids, metal-ions or are involved in chaperone functions. An evaluation of the tool showed that it is highly accurate for eukaryotic proteins as well.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.