Evidence map›Paper›PMID 27264539›Full record

ArticleScientific reports2016

IRESPred: Web Server for Prediction of Cellular and Viral Internal Ribosome Entry Site (IRES).

Pandurang Kolekar, Abhijeet Pataskar, Urmila Kulkarni-Kale, Jayanta Pal, Abhijeet Kulkarni

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
3.8field-weighted citation impact, top 6% 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

43 citing papers in PubMed, 62 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Pandurang KolekarBioinformatics Centre, Savitribai Phule Pune University (Formerly University of Pune), Pune, Maharashtra, 411 007, India.
Abhijeet PataskarBioinformatics Centre, Savitribai Phule Pune University (Formerly University of Pune), Pune, Maharashtra, 411 007, India.
Urmila Kulkarni-KaleBioinformatics Centre, Savitribai Phule Pune University (Formerly University of Pune), Pune, Maharashtra, 411 007, India.
Jayanta PalDepartment of Biotechnology, Savitribai Phule Pune University (Formerly University of Pune), Pune, Maharashtra, 411 007, India.
Abhijeet KulkarniBioinformatics Centre, Savitribai Phule Pune University (Formerly University of Pune), Pune, Maharashtra, 411 007, India.
Savitribai Phule Pune University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cellular mRNAs are predominantly translated in a cap-dependent manner. However, some viral and a subset of cellular mRNAs initiate their translation in a cap-independent manner. This requires presence of a structured RNA element, known as, Internal Ribosome Entry Site (IRES) in their 5' untranslated regions (UTRs). Experimental demonstration of IRES in UTR remains a challenging task. Computational prediction of IRES merely based on sequence and structure conservation is also difficult, particularly for cellular IRES. A web server, IRESPred is developed for prediction of both viral and cellular IRES using Support Vector Machine (SVM). The predictive model was built using 35 features that are based on sequence and structural properties of UTRs and the probabilities of interactions between UTR and small subunit ribosomal proteins (SSRPs). The model was found to have 75.51% accuracy, 75.75% sensitivity, 75.25% specificity, 75.75% precision and Matthews Correlation Coefficient (MCC) of 0.51 in blind testing. IRESPred was found to perform better than the only available viral IRES prediction server, VIPS. The IRESPred server is freely available at http://bioinfo.net.in/IRESPred/.

Indexed as

Internal Ribosome Entry SitesInternet5' Untranslated RegionsHumansMembrane FusionRNA, Viral5' Untranslated RegionsInternal Ribosome Entry SitesRNA, Viral

Identifiers

PMID27264539
PMCPMC4893748
OpenAlexW2417928515

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.