ArticleNucleic acids research2013
The twilight zone of cis element alignments.
Article in Nucleic acids research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed.
- Identification of lipid metabolism-related genes in myocardial infarction: implications for diagnosis and therapy.Journal of cardiothoracic surgery · 2025Article
- Single-cell and transcriptomic analyses reveal the influence of diabetes on ovarian cancer.BMC genomics · 2024Article
- Struct2GO: protein function prediction based on graph pooling algorithm and AlphaFold2 structure information.Bioinformatics (Oxford, England) · 2023Article
- Identification of mitophagy-related biomarkers in human osteoporosis based on a machine learning model.Frontiers in physiology · 2023Article
- Identification of Serum Exosome-Derived circRNA-miRNA-TF-mRNA Regulatory Network in Postmenopausal Osteoporosis Using Bioinformatics Analysis and Validation in Peripheral Blood-Derived Mononuclear Cells.Frontiers in endocrinology · 2022Article
- Analysis of the DNA-Binding Activities of the Arabidopsis R2R3-MYB Transcription Factor Family by One-Hybrid Experiments in Yeast.PloS one · 2015Article
- Integrating bioinformatic resources to predict transcription factors interacting with cis-sequences conserved in co-regulated genes.BMC genomics · 2014Article
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2 authors.
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Abstract
Sequence alignment of proteins and nucleic acids is a routine task in bioinformatics. Although the comparison of complete peptides, genes or genomes can be undertaken with a great variety of tools, the alignment of short DNA sequences and motifs entails pitfalls that have not been fully addressed yet. Here we confront the structural superposition of transcription factors with the sequence alignment of their recognized cis elements. Our goals are (i) to test TFcompare (http://floresta.eead.csic.es/tfcompare), a structural alignment method for protein-DNA complexes; (ii) to benchmark the pairwise alignment of regulatory elements; (iii) to define the confidence limits and the twilight zone of such alignments and (iv) to evaluate the relevance of these thresholds with elements obtained experimentally. We find that the structure of cis elements and protein-DNA interfaces is significantly more conserved than their sequence and measures how this correlates with alignment errors when only sequence information is considered. Our results confirm that DNA motifs in the form of matrices produce better alignments than individual sequences. Finally, we report that empirical and theoretically derived twilight thresholds are useful for estimating the natural plasticity of regulatory sequences, and hence for filtering out unreliable alignments.
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