Evidence map›Paper›PMID 31830030›Full record

ArticlePLoS neglected tropical diseases2019

Predicting and designing therapeutics against the Nipah virus.

Neeladri Sen, Tejashree Rajaram Kanitkar, Ankit Animesh Roy, Neelesh Soni, Kaustubh Amritkar, Shreyas Supekar, Sanjana Nair, Gulzar Singh, M S Madhusudhan

Abstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Nipah virus: pathogenesis, genome, diagnosis, and treatment.Applied microbiology and biotechnology · 2025
    Review
  2. Review
  3. Article
  4. Article
  5. Frontiers in bioinformatics · 2025
    Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Methods for Molecular Modelling of Protein Complexes.Methods in molecular biology (Clifton, N.J.) · 2021
    Review
  15. 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

9 authors.

Neeladri SenIndian Institute of Science Education and Research, Pune, India.
Tejashree Rajaram KanitkarIndian Institute of Science Education and Research, Pune, India.
Ankit Animesh RoyIndian Institute of Science Education and Research, Pune, India.
Neelesh SoniIndian Institute of Science Education and Research, Pune, India.ORCID 0000-0002-9333-7491
Kaustubh AmritkarIndian Institute of Science Education and Research, Pune, India.
Shreyas SupekarIndian Institute of Science Education and Research, Pune, India.
Sanjana NairIndian Institute of Science Education and Research, Pune, India.
Gulzar SinghIndian Institute of Science Education and Research, Pune, India.
M S MadhusudhanIndian Institute of Science Education and Research, Pune, India.ORCID 0000-0002-2889-5884

Funding

Wellcome Trust
6 · The paper itself

Abstract

Despite Nipah virus outbreaks having high mortality rates (>70% in Southeast Asia), there are no licensed drugs against it. In this study, we have considered all 9 Nipah proteins as potential therapeutic targets and computationally identified 4 putative peptide inhibitors (against G, F and M proteins) and 146 small molecule inhibitors (against F, G, M, N, and P proteins). The computations include extensive homology/ab initio modeling, peptide design and small molecule docking. An important contribution of this study is the increased structural characterization of Nipah proteins by approximately 90% of what is deposited in the PDB. In addition, we have carried out molecular dynamics simulations on all the designed protein-peptide complexes and on 13 of the top shortlisted small molecule ligands to check for stability and to estimate binding strengths. Details, including atomic coordinates of all the proteins and their ligand bound complexes, can be accessed at http://cospi.iiserpune.ac.in/Nipah. Our strategy was to tackle the development of therapeutics on a proteome wide scale and the lead compounds identified could be attractive starting points for drug development. To counter the threat of drug resistance, we have analysed the sequences of the viral strains from different outbreaks, to check whether they would be sensitive to the binding of the proposed inhibitors.

Indexed as

Antiviral AgentsMolecular Dynamics SimulationNipah VirusProtein BindingProtein ConformationViral ProteinsAntiviral AgentsViral Proteins

Identifiers

PMID31830030
PMCPMC6907750

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Registered trials

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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.