Evidence map›Paper›PMID 36275660›Full record

ArticleFrontiers in immunology2022

Comprehensive computational analysis reveals YXXΦ[I/L/M/F/V] motif and YXXΦ-like tetrapeptides across HFRS causing Hantaviruses and their association with viral pathogenesis and host immune regulation.

Fatima Noor, Usman Ali Ashfaq, Muhammad Asif, Muhammad Muzammal Adeel, Abdulrahman Alshammari, Metab Alharbi

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Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 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

6 authors.

Fatima NoorDepartment of Bioinformatics and Biotechnology, Government College University, Faisalabad, Pakistan.
Usman Ali AshfaqDepartment of Bioinformatics and Biotechnology, Government College University, Faisalabad, Pakistan.
Muhammad AsifDepartment of Bioinformatics and Biotechnology, Government College University, Faisalabad, Pakistan.
Muhammad Muzammal AdeelDepartment of Environmental Health Science, College of Public Health, University of Georgia, Athens, GA, United States.
Abdulrahman AlshammariDepartment of Pharmacology and Toxicology, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia.
Metab AlharbiDepartment of Pharmacology and Toxicology, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hemorrhagic fever with renal syndrome (HFRS) is an acute zoonotic disease transmitted through aerosolized excrement of rodents. The etiology of HFRS is complex due to the involvement of viral factors and host immune and genetic factors. The viral species that dominantly cause HFRS are Puumala virus (PUUV), Seoul virus (SEOV), Dobrava-Belgrade virus (DOBV), and Hantaan virus (HTNV). Despite continuous prevention and control measures, HFRS remains a significant public health problem worldwide. The nucleocapsid protein of PUUV, SEOV, DOBV, and HTNV is a multifunctional viral protein involved in various stages of the viral replication cycle. However, the exact role of nucleoproteins in viral pathogenesis is yet to be discovered. Targeting a universal host protein exploited by most viruses would be a game-changing strategy that offers broad-spectrum solutions and rapid epidemic control. The objective of this study is to understand the replication and pathogenesis of PUUV, SEOV, DOBV, and HTNV by targeting tyrosine-based motif (YXXΦ[I/L/M/F/V]) and YXXΦ-like tetrapeptides. In the light of the current study,

Indexed as

Hantaan virusHemorrhagic Fever with Renal SyndromeOrthohantavirusAntiviral AgentsHumansNucleocapsid ProteinsNucleoproteinsTyrosineAntiviral AgentsNucleocapsid ProteinsNucleoproteinsTyrosine3D structurehantavirushemorrhagic fever with renal syndromepost-translational modificationsYXXΦ[I/L/M/F/V] motifYXXΦ-like tetrapeptides

Identifiers

PMID36275660
PMCPMC9584616

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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.