Evidence map›Paper›PMID 26384429›Full record

ArticleNucleic acids research2015

A structural approach reveals how neighbouring C2H2 zinc fingers influence DNA binding specificity.

Michael Garton, Hamed S Najafabadi, Frank W Schmitges, Ernest Radovani, Timothy R Hughes, Philip M Kim

Abstract read
In one paragraph

Article in Nucleic acids research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

26 citing papers in PubMed.

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  13. Points of View on the Tools for Genome/Gene Editing.International journal of molecular sciences · 2021
    Review
  14. Article
  15. Article
  16. Article
  17. Diversification of transcription factor-DNA interactions and the evolution of gene regulatory networks.Wiley interdisciplinary reviews. Systems biology and medicine · 2018
    Review
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Michael GartonDonnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto M5S 3E1, Canada.
Hamed S NajafabadiDonnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto M5S 3E1, Canada.
Frank W SchmitgesDonnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto M5S 3E1, Canada.
Ernest RadovaniDepartment of Molecular Genetics, University of Toronto, Toronto M5S 1A8, Canada.
Timothy R HughesDonnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto M5S 3E1, Canada Department of Molecular Genetics, University of Toronto, Toronto M5S 1A8, Canada.
Philip M KimDonnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto M5S 3E1, Canada Department of Molecular Genetics, University of Toronto, Toronto M5S 1A8, Canada Department of Computer Science, University of Toronto, Toronto M5S 2E4, Canada pi@kimlab.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Development of an accurate protein-DNA recognition code that can predict DNA specificity from protein sequence is a central problem in biology. C2H2 zinc fingers constitute by far the largest family of DNA binding domains and their binding specificity has been studied intensively. However, despite decades of research, accurate prediction of DNA specificity remains elusive. A major obstacle is thought to be the inability of current methods to account for the influence of neighbouring domains. Here we show that this problem can be addressed using a structural approach: we build structural models for all C2H2-ZF-DNA complexes with known binding motifs and find six distinct binding modes. Each mode changes the orientation of specificity residues with respect to the DNA, thereby modulating base preference. Most importantly, the structural analysis shows that residues at the domain interface strongly and predictably influence the binding mode, and hence specificity. Accounting for predicted binding mode significantly improves prediction accuracy of predicted motifs. This new insight into the fundamental behaviour of C2H2-ZFs has implications for both improving the prediction of natural zinc finger-binding sites, and for prioritizing further experiments to complete the code. It also provides a new design feature for zinc finger engineering.

Indexed as

Zinc FingersBinding SitesDatabases, ProteinDNADNA-Binding ProteinsModels, MolecularProtein BindingProtein ConformationSequence Analysis, ProteinDNADNA-Binding Proteins

Identifiers

PMID26384429
PMCPMC4627083

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.