Evidence map›Paper›PMID 40755803›Full record

ArticlePeerJ2025

Identification of potential inhibitors of the main protease from feline infectious peritonitis virus using molecular docking and dynamic simulation approaches.

Mohd Yasir Khan, Abid Ullah Shah, Nithyadevi Duraisamy, Nadine Moawad, Reda Nacif ElAlaoui, Mohammed Cherkaoui, Maged Gomaa Hemida

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Article in PeerJ, 2025. 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

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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.

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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

7 authors.

Mohd Yasir KhanDepartment of Computer Science, College of Digital Engineering and Artificial Intelligence, Long Island University, Brooklyn, NY, United States of America.
Abid Ullah ShahDepartment of Veterinary Biomedical Sciences, College of Veterinary Medicine, Long Island University, Brookville, NY, United States of America.
Nithyadevi DuraisamyDepartment of Computer Science, College of Digital Engineering and Artificial Intelligence, Long Island University, Brooklyn, NY, United States of America.
Nadine MoawadDepartment of Veterinary Biomedical Sciences, College of Veterinary Medicine, Long Island University, Brookville, NY, United States of America.
Reda Nacif ElAlaouiDepartment of Computer Science, College of Digital Engineering and Artificial Intelligence, Long Island University, Brooklyn, NY, United States of America.
Mohammed CherkaouiDepartment of Computer Science, College of Digital Engineering and Artificial Intelligence, Long Island University, Brooklyn, NY, United States of America.
Maged Gomaa HemidaDepartment of Veterinary Biomedical Sciences, College of Veterinary Medicine, Long Island University, Brookville, NY, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Feline infectious peritonitis virus (FIPV) is one of cats' most serious viral infections. The FIPV infection induces a complicated syndrome in the affected cats, including immunosuppression and severe inflammatory conditions. Unfortunately, vaccines are unable to provide complete prevention in cats from getting infected with these viral infections. There is ongoing research on preparing antiviral therapies against FIPV in cats. However, these are still in clinical trials and have not been fully approved by the drug authorities in many countries, including the USA. Targeting the main viral proteases is one of the promising trends in the drug design of many viral diseases, including coronaviruses. The main goal of the current study was to repurpose and test the efficacy of some known antiviral drugs to treat FIPV infection in cats by targeting the FIPV main protease (Mpro). Methods: We used the Results: Our results show that out of the 15 antiviral and immunomodulatory compounds, the top-ranked inhibitors for the FIPV-Mpro are reference standard inhibitor (N3), Sofosbuvir, and the GS-441524, out of which GS-441524 was suggested as Mpro-inhibitor on the basis of further investigation through molecular dynamics simulation method. In conclusion, our results confirmed the potential applications of the predicted FIPV-Mpro inhibitors either independently or in combination with other immune-modulatory compounds. Further

Indexed as

Antiviral AgentsCoronavirus, FelineFeline Infectious PeritonitisMolecular Docking SimulationProtease InhibitorsAnimalsCatsMolecular Dynamics SimulationAntiviral AgentsProtease InhibitorsAntiviralDynamic simulationFCoVFIPVGS441524In silico designMolecular dockingMproNucleoside analogsSofosbuvir

Identifiers

PMID40755803
PMCPMC12317694

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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.