ReviewBriefings in bioinformatics2020
Disentangling the complexity of low complexity proteins.
Review in Briefings in bioinformatics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers.
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Who cites it
64 citing papers in PubMed.
- Amino acid homorepeats in tape measure proteins correlate with bacteriophage tail length.The Journal of general virology · 2026Article
- CB-Search: a method for searching for similar protein motifs with biased compositions.BMC bioinformatics · 2026Article
- A benchmarking framework for comparative evaluation of low-complexity region detection tools in the human proteome.Scientific reports · 2026Article
- Autographa californica multiple nucleopolyhedrovirusJournal of virology · 2026Article
- Protein tandem repeats that produce frameshifts can generate new structural states and functions.The FEBS journal · 2026Article
- Recombinant Proteins: A Molecular Tool to Understand Marine Adhesion and to Advance Biomaterials.Advanced healthcare materials · 2026Review
- Evolutionary constraints on positional sequence, collective properties and sequence style of tropoelastin dictated by fundamental requirements for formation and function of the extracellular elastic matrix.Matrix biology plus · 2025Review
- Convergent evolution of viral-like Borg archaeal extrachromosomal elements and giant eukaryotic viruses.Nature communications · 2025Article
- Deep learning-assisted tools to understand the structural biology of the synapse.Biomedical engineering letters · 2025Review
- Targeting protein disorder: the next hurdle in drug discovery.Nature reviews. Drug discovery · 2025Review
- ESM2_AMP: an interpretable framework for protein-protein interactions prediction and biological mechanism discovery.Briefings in bioinformatics · 2025Article
- The C-terminal end of PLIN1 displays structural disorder.Biochemistry and biophysics reports · 2025Article
- Evolutionary perspective of the CAG/CAA interplay coding for pure polyglutamine stretches in proteins.NAR genomics and bioinformatics · 2025Article
- Low-complexity regions in fungi display functional groups and are depleted in positively charged amino acids.NAR genomics and bioinformatics · 2025Article
- A methodology for calculating the rarity of diverse proteins based on functional specificity and thermodynamic stability.PloS one · 2025Article
- LCRAnnotationsDB: a database of low complexity regions functional and structural annotations.BMC genomics · 2024Article
- Protein G-quadruplex interactions and their effects on phase transitions and protein aggregation.Nucleic acids research · 2024Article
- ADNP dysregulates methylation and mitochondrial gene expression in the cerebellum of a Helsmoortel-Van der Aa syndrome autopsy case.Acta neuropathologica communications · 2024Article
- Protein G-quadruplex interactions and their effects on phase transitions and protein aggregation.bioRxiv : the preprint server for biology · 2024Article
- Structural modelling and preventive strategy targeting of WSSV hub proteins to combat viral infection in shrimp Penaeus monodon.PloS one · 2024Article
4 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
18 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
There are multiple definitions for low complexity regions (LCRs) in protein sequences, with all of them broadly considering LCRs as regions with fewer amino acid types compared to an average composition. Following this view, LCRs can also be defined as regions showing composition bias. In this critical review, we focus on the definition of sequence complexity of LCRs and their connection with structure. We present statistics and methodological approaches that measure low complexity (LC) and related sequence properties. Composition bias is often associated with LC and disorder, but repeats, while compositionally biased, might also induce ordered structures. We illustrate this dichotomy, and more generally the overlaps between different properties related to LCRs, using examples. We argue that statistical measures alone cannot capture all structural aspects of LCRs and recommend the combined usage of a variety of predictive tools and measurements. While the methodologies available to study LCRs are already very advanced, we foresee that a more comprehensive annotation of sequences in the databases will enable the improvement of predictions and a better understanding of the evolution and the connection between structure and function of LCRs. This will require the use of standards for the generation and exchange of data describing all aspects of LCRs. SHORT ABSTRACT: There are multiple definitions for low complexity regions (LCRs) in protein sequences. In this critical review, we focus on the definition of sequence complexity of LCRs and their connection with structure. We present statistics and methodological approaches that measure low complexity (LC) and related sequence properties. Composition bias is often associated with LC and disorder, but repeats, while compositionally biased, might also induce ordered structures. We illustrate this dichotomy, plus overlaps between different properties related to LCRs, using examples.
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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.