Evidence map›Paper›PMID 27515825›Full record

ArticleDatabase : the journal of biological databases and curation2016

Onco-Regulon: an integrated database and software suite for site specific targeting of transcription factors of cancer genes.

Navneet Tomar, Akhilesh Mishra, Nirotpal Mrinal, B Jayaram

Open access · goldAbstract readDataset
In one paragraph

Article in Database : the journal of biological databases and curation, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 35% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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

4 authors at 2 institutions in 1 country.

Navneet TomarSupercomputing Facility for Bioinformatics & Computational Biology, Indian Institute of Technology-Delhi, New Delhi, India.
Akhilesh MishraSupercomputing Facility for Bioinformatics & Computational Biology, Indian Institute of Technology-Delhi, New Delhi, India Kusuma School of Biological Sciences, Indian Institute of Technology-Delhi, Delhi, India.
Nirotpal MrinalLabaratory of Molecular Biology, South Asian University, New Delhi, India nmrinal@gmail.com.
B JayaramSupercomputing Facility for Bioinformatics & Computational Biology, Indian Institute of Technology-Delhi, New Delhi, India Kusuma School of Biological Sciences, Indian Institute of Technology-Delhi, Delhi, India Department of Chemistry, Indian Institute of Technology-Delhi, Delhi nmrinal@gmail.com.
Indian Institute of Technology Delhi · INSouth Asian University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transcription factors (TFs) bind at multiple sites in the genome and regulate expression of many genes. Regulating TF binding in a gene specific manner remains a formidable challenge in drug discovery because the same binding motif may be present at multiple locations in the genome. Here, we present Onco-Regulon (http://www.scfbio-iitd.res.in/software/onco/NavSite/index.htm), an integrated database of regulatory motifs of cancer genes clubbed with Unique Sequence-Predictor (USP) a software suite that identifies unique sequences for each of these regulatory DNA motifs at the specified position in the genome. USP works by extending a given DNA motif, in 5'→3', 3' →5' or both directions by adding one nucleotide at each step, and calculates the frequency of each extended motif in the genome by Frequency Counter programme. This step is iterated till the frequency of the extended motif becomes unity in the genome. Thus, for each given motif, we get three possible unique sequences. Closest Sequence Finder program predicts off-target drug binding in the genome. Inclusion of DNA-Protein structural information further makes Onco-Regulon a highly informative repository for gene specific drug development. We believe that Onco-Regulon will help researchers to design drugs which will bind to an exclusive site in the genome with no off-target effects, theoretically.Database URL: http://www.scfbio-iitd.res.in/software/onco/NavSite/index.htm.

Indexed as

Databases, Nucleic AcidGenes, NeoplasmGenome, HumanNucleotide MotifsResponse ElementsSoftwareAnimalsHumansNeoplasm ProteinsNeoplasmsSequence Analysis, DNATranscription FactorsNeoplasm ProteinsTranscription Factors

Identifiers

PMID27515825
PMCPMC4980569
OpenAlexW2516667173

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.