Evidence map›Paper›PMID 25414269›Full record

ReviewBriefings in functional genomics2015

Structure-based modeling of protein: DNA specificity.

Adam P Joyce, Chi Zhang, Philip Bradley, James J Havranek

Abstract readReview
In one paragraph

Review in Briefings in functional genomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. The Non-continuum Nature of Eukaryotic Transcriptional Regulation.Advances in experimental medicine and biology · 2022
    Article
  4. Article
  5. Review
  6. Article
  7. Transcription factor-DNA binding: beyond binding site motifs.Current opinion in genetics & development · 2017
    Review
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

4 authors.

Adam P Joyce
Chi Zhang
Philip Bradley
James J Havranek

Funding

Predicting Protein-DNA Interactions with Structural ModelsR01GM088277 · NIGMS · FRED HUTCHINSON CANCER RESEARCH CENTER · PI BRADLEY, PHILIP · 2009 to 2013
$1.6M
A MOLECULAR TOOLKIT FOR SINGLE-MOLECULE PROTEIN SEQUENCINGR01GM101602 · NIGMS · WASHINGTON UNIVERSITY · PI HAVRANEK, JAMES J · 2012 to 2016
$1.4M
NIGMS NIH HHS R01 GM088277NIGMS NIH HHS R01GM088277NIGMS NIH HHS R01 GM101602NIGMS NIH HHS R01GM101602
6 · The paper itself

Abstract

Protein:DNA interactions are essential to a range of processes that maintain and express the information encoded in the genome. Structural modeling is an approach that aims to understand these interactions at the physicochemical level. It has been proposed that structural modeling can lead to deeper understanding of the mechanisms of protein:DNA interactions, and that progress in this field can not only help to rationalize the observed specificities of DNA-binding proteins but also to allow researchers to engineer novel DNA site specificities. In this review we discuss recent developments in the structural description of protein:DNA interactions and specificity, as well as the challenges facing the field in the future.

Indexed as

Models, MolecularStructure-Activity RelationshipAnimalsBase SequenceDNADNA-Binding ProteinsHumansMolecular Sequence DataWaterDNADNA-Binding ProteinsWaterBinding specificityMolecular modelingProtein:DNA interactionsStructural modelingStructure predictionTranscription factor binding sites

Identifiers

PMID25414269
PMCPMC4366589

What OpenQuestion holds

Textmetadata
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.