ArticleNature2020
DNA mismatches reveal conformational penalties in protein-DNA recognition.
Article in Nature, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
73 citing papers in PubMed, 146 citations in OpenAlex.
- Reciprocal, methylation-dependent binding of Zfp57 and Gzf1 safeguards Dlk1-Dio3 imprinting during developmental reprogramming.Nature communications · 2026Article
- Unraveling single-molecule reactions via multiplexed in-situ DNA sequencing.Nature communications · 2026Article
- Molecular basis of UV lesion binding and repair inhibition by ETS-family transcription factors.Nucleic acids research · 2026Article
- High-throughput characterization of transcription factors that modulate UV damage formation and repair at single-nucleotide resolution.Nature communications · 2026Article
- Mapping DNA glycosylase binding across lesion sequence contexts reveals extended sequence and structural recognition logic.Nature communications · 2026Article
- Searching for sequence features that control DNA cyclizability.PNAS nexus · 2026Article
- DNA Mechanical Strain Steers Transcription Factor Recognition.Research square · 2026Article
- Graph-based deep learning approach for high-throughput protein-DNA interaction scoring.Acta pharmacologica Sinica · 2026Article
- Article
- Article
- DNA methylation shapes transcription factor binding beyond canonical CpG contexts.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- High-throughput characterization of transcription factors that modulate UV damage formation and repair at single-nucleotide resolution.Research square · 2025Article
- Article
- Effects of flanking regions on DNA i-motif folding and stability.Nucleic acids research · 2025Article
- AlkD's Conformational Dynamics Regulated by Protein-DNA Interactions for Effective Target Recognition.The journal of physical chemistry letters · 2025Article
- Proteome-Wide Identification ofAnalytical chemistry · 2025Article
- Article
- Systematic DNA nicking reveals the structural logic of protein recognition.bioRxiv : the preprint server for biology · 2025Article
- An Insight into Cancer Cells and Disease Progression Through the Lens of Mathematical Modeling.Current issues in molecular biology · 2025Review
- Kinetic Dissection of Proton-Coupled Conformational Transitions in Nucleic Acids by Integrating pH-Dependent NMR and Chemical Modifications.Journal of the American Chemical Society · 2025Article
13 more citing papers are in PubMed but not listed here.
Corrections and comments
- Commented on by
Authors and funding
15 authors at 4 institutions in 3 countries.
Funding
Abstract
Transcription factors recognize specific genomic sequences to regulate complex gene-expression programs. Although it is well-established that transcription factors bind to specific DNA sequences using a combination of base readout and shape recognition, some fundamental aspects of protein-DNA binding remain poorly understood
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.