ArticleBioinformatics (Oxford, England)2015
LCR-eXXXplorer: a web platform to search, visualize and share data for low complexity regions in protein sequences.
Article in Bioinformatics (Oxford, England), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Optimizing strategy for the discovery of compositionally-biased or low-complexity regions in proteins.Scientific reports · 2024Article
- Bioinformatics tools for the sequence complexity estimates.Biophysical reviews · 2023Review
- 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 LCD-Composer webserver: high-specificity identification and functional analysis of low-complexity domains in proteins.Bioinformatics (Oxford, England) · 2022Article
- De novo determination of mosquitocidal Cry11Aa and Cry11Ba structures from naturally-occurring nanocrystals.Nature communications · 2022Article
- Increased BUB1B/BUBR1 expression contributes to aberrant DNA repair activity leading to resistance to DNA-damaging agents.Oncogene · 2021Article
- Defining the RBPome of primary T helper cells to elucidate higher-order Roquin-mediated mRNA regulation.Nature communications · 2021Article
- Article
- A Selective Autophagy Pathway for Phase-Separated Endocytic Protein Deposits.Molecular cell · 2020Article
- Dual ARID1A/ARID1B loss leads to rapid carcinogenesis and disruptive redistribution of BAF complexes.Nature cancer · 2020Article
- PlaToLoCo: the first web meta-server for visualization and annotation of low complexity regions in proteins.Nucleic acids research · 2020Article
- Pseudomonas aeruginosa core metabolism exerts a widespread growth-independent control on virulence.Scientific reports · 2020Article
- Disentangling the complexity of low complexity proteins.Briefings in bioinformatics · 2020Review
- Article
- Low complexity regions in the proteins of prokaryotes perform important functional roles and are highly conserved.Nucleic acids research · 2019Article
- A bioinformatics pipeline to search functional motifs within whole-proteome data: a case study of poxviruses.Virus genes · 2017Article
- Profiles of low complexity regions in Apicomplexa.BMC evolutionary biology · 2016Article
Corrections and comments
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2 authors.
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Abstract
motivationLocal compositionally biased and low complexity regions (LCRs) in amino acid sequences have initially attracted the interest of researchers due to their implication in generating artifacts in sequence database searches. There is accumulating evidence of the biological significance of LCRs both in physiological and in pathological situations. Nonetheless, LCR-related algorithms and tools have not gained wide appreciation across the research community, partly due to the fact that only a handful of user-friendly software is currently freely available.
resultsWe developed LCR-eXXXplorer, an extensible online platform attempting to fill this gap. LCR-eXXXplorer offers tools for displaying LCRs from the UniProt/SwissProt knowledgebase, in combination with other relevant protein features, predicted or experimentally verified. Moreover, users may perform powerful queries against a custom designed sequence/LCR-centric database. We anticipate that LCR-eXXXplorer will be a useful starting point in research efforts for the elucidation of the structure, function and evolution of proteins with LCRs. AVAILABILITY AND IMPLEMENTATION: LCR-eXXXplorer is freely available at the URL http://repeat.biol.ucy.ac.cy/lcr-exxxplorer. CONTACT: vprobon@ucy.ac.cy SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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