Evidence map›Paper›PMID 28696921›Full record

ArticleG3 (Bethesda, Md.)2017

ASPsiRNA: A Resource of ASP-siRNAs Having Therapeutic Potential for Human Genetic Disorders and Algorithm for Prediction of Their Inhibitory Efficacy.

Isha Monga, Abid Qureshi, Nishant Thakur, Amit Kumar Gupta, Manoj Kumar

Abstract read
In one paragraph

Article in G3 (Bethesda, Md.), 2017. 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. Review
  3. Review
  4. Review
  5. Review
  6. Article
  7. A review on current status of antiviral siRNA.Reviews in medical virology · 2018
    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

5 authors.

Isha MongaBioinformatics Centre, Institute of Microbial Technology, Council of Scientific and Industrial Research, Chandigarh-160036, India.ORCID 0000-0002-4683-9456
Abid QureshiBioinformatics Centre, Institute of Microbial Technology, Council of Scientific and Industrial Research, Chandigarh-160036, India.
Nishant ThakurBioinformatics Centre, Institute of Microbial Technology, Council of Scientific and Industrial Research, Chandigarh-160036, India.
Amit Kumar GuptaBioinformatics Centre, Institute of Microbial Technology, Council of Scientific and Industrial Research, Chandigarh-160036, India.ORCID 0000-0002-8395-1201
Manoj KumarBioinformatics Centre, Institute of Microbial Technology, Council of Scientific and Industrial Research, Chandigarh-160036, India manojk@imtech.res.in.ORCID 0000-0003-3769-052X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Allele-specific siRNAs (ASP-siRNAs) have emerged as promising therapeutic molecules owing to their selectivity to inhibit the mutant allele or associated single-nucleotide polymorphisms (SNPs) sparing the expression of the wild-type counterpart. Thus, a dedicated bioinformatics platform encompassing updated ASP-siRNAs and an algorithm for the prediction of their inhibitory efficacy will be helpful in tackling currently intractable genetic disorders. In the present study, we have developed the ASPsiRNA resource (http://crdd.osdd.net/servers/aspsirna/) covering three components

Indexed as

AllelesRNA InterferenceSoftwareAlgorithmsComputational BiologyDatabases, GeneticGenetic Diseases, InbornHumansMutationReproducibility of ResultsRNAi TherapeuticsRNA, Small InterferingWeb BrowserWorkflowRNA, Small Interferingallele-specific siRNAASPsiDbASPsiPredgenetic disease databaseprediction algorithm

Identifiers

PMID28696921
PMCPMC5592921

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.