Evidence map›Paper›PMID 24097433›Full record

ArticleNucleic acids research2014

De novo prediction of DNA-binding specificities for Cys2His2 zinc finger proteins.

Anton V Persikov, Mona Singh

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 126 papers.

0numbers the graph read from it
0cells of the map it votes in
126citing papers in PubMed
5.7field-weighted citation impact, top 3% of its field
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

126 citing papers in PubMed, 225 citations in OpenAlex.

  1. Applied and environmental microbiology · 2026
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  3. Expanding the phenotypic spectrum associated with ZIC1 variants: A neurodevelopmental disorder with and without craniosynostosis.Genetics in medicine : official journal of the American College of Medical Genetics · 2026
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  6. Rme1: Unveiling a Novel Repressor in the Cellulolytic Pathway ofJournal of fungi (Basel, Switzerland) · 2025
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66 more citing papers are in PubMed but not listed here.

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

2 authors at 1 institution in 1 country.

Anton V PersikovLewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton NJ 08544, USA and Department of Computer Science, Princeton University, Princeton NJ 08544, USA.
Mona Singh
Princeton University · US

Funding

Predicting and analyzing variation in cellular interactomesR01GM076275 · NIGMS · PRINCETON UNIVERSITY · PI SINGH, MONA · 2006 to 2022
$4.0M
NIGMS NIH HHS R01 GM076275
6 · The paper itself

Abstract

Proteins with sequence-specific DNA binding function are important for a wide range of biological activities. De novo prediction of their DNA-binding specificities from sequence alone would be a great aid in inferring cellular networks. Here we introduce a method for predicting DNA-binding specificities for Cys2His2 zinc fingers (C2H2-ZFs), the largest family of DNA-binding proteins in metazoans. We develop a general approach, based on empirical calculations of pairwise amino acid-nucleotide interaction energies, for predicting position weight matrices (PWMs) representing DNA-binding specificities for C2H2-ZF proteins. We predict DNA-binding specificities on a per-finger basis and merge predictions for C2H2-ZF domains that are arrayed within sequences. We test our approach on a diverse set of natural C2H2-ZF proteins with known binding specificities and demonstrate that for >85% of the proteins, their predicted PWMs are accurate in 50% of their nucleotide positions. For proteins with several zinc finger isoforms, we show via case studies that this level of accuracy enables us to match isoforms with their known DNA-binding specificities. A web server for predicting a PWM given a protein containing C2H2-ZF domains is available online at http://zf.princeton.edu and can be used to aid in protein engineering applications and in genome-wide searches for transcription factor targets.

Indexed as

Sequence Analysis, ProteinZinc FingersBinding SitesDNADNA-Binding ProteinsPosition-Specific Scoring MatricesDNADNA-Binding Proteins

Identifiers

PMID24097433
PMCPMC3874201
OpenAlexW2140405765

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.