Evidence map›Paper›PMID 25249757›Full record

ArticleBioinformatics and biology insights2014

Interactions Among Plant Transcription Factors Regulating Expression of Stress-responsive Genes.

Sony Malhotra, R Sowdhamini

Abstract read
In one paragraph

Article in Bioinformatics and biology insights, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Stress-MediatedFrontiers in plant science · 2016
    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

2 authors.

Sony MalhotraNational Centre for Biological Sciences (TIFR), Bangalore, India.
R SowdhaminiNational Centre for Biological Sciences (TIFR), Bangalore, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plants are simultaneously subjected to a variety of stress conditions in the field and are known to combat the hostile conditions by up/down-regulating number of genes. There exists a significant level of cross-talk between different stress responses in plants. In this study, we predict the interacting pairs of transcription factors that regulate the multiple abiotic stress-responsive genes in the plant Arabidopsis thaliana. We identified the interacting pair(s) of transcription factors (TFs) based on the spatial proximity of their binding sites. We also examined the interactions between the predicted pairs of TFs using molecular docking. Subsequent to docking, the best interaction pose was selected using our scoring scheme DockScore, which ranks the docked solutions based on several interface parameters and aims to find optimal interactions between proteins. We analyzed the selected docked pose for the interface residues and their conservation.

Indexed as

Arabidopsis thalianadockingprotein–protein interactionsstress conditionstranscription factors

Identifiers

PMID25249757
PMCPMC4167486

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.