Evidence map›Paper›PMID 34188160›Full record

ArticleScientific reports2021

NOD: a web server to predict New use of Old Drugs to facilitate drug repurposing.

Tarun Jairaj Narwani, Narayanaswamy Srinivasan, Sohini Chakraborti

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Protein sequence analysis in the context of drug repurposing.BMC medical informatics and decision making · 2024
    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

3 authors.

Tarun Jairaj NarwaniMolecular Biophysics Unit, Indian Institute of Science, Bengaluru, Karnataka, 560012, India.
Narayanaswamy SrinivasanMolecular Biophysics Unit, Indian Institute of Science, Bengaluru, Karnataka, 560012, India. ns@iisc.ac.in.
Sohini ChakrabortiMolecular Biophysics Unit, Indian Institute of Science, Bengaluru, Karnataka, 560012, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Computational methods accelerate the drug repurposing pipelines that are a quicker and cost-effective alternative to discovering new molecules. However, there is a paucity of web servers to conduct fast, focussed, and customized investigations for identifying new uses of old drugs. We present the NOD web server, which has the mentioned characteristics. NOD uses a sensitive sequence-guided approach to identify close and distant homologs of a protein of interest. NOD then exploits this evolutionary information to suggest potential compounds from the DrugBank database that can be repurposed against the input protein. NOD also allows expansion of the chemical space of the potential candidates through similarity searches. We have validated the performance of NOD against available experimental and/or clinical reports. In 65.6% of the investigated cases in a control study, NOD is able to identify drugs more effectively than the searches made in DrugBank. NOD is freely-available at http://pauling.mbu.iisc.ac.in/NOD/NOD/ .

Indexed as

Databases, FactualDrug RepositioningInternetPharmaceutical PreparationsSoftwareHumansPredictive Value of TestsPharmaceutical Preparations

Identifiers

PMID34188160
PMCPMC8241987

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.