Evidence map›Paper›PMID 34004362›Full record

ArticleInfection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases2021

Analyzing host-viral interactome of SARS-CoV-2 for identifying vulnerable host proteins during COVID-19 pathogenesis.

Jayanta Kumar Das, Swarup Roy, Pietro Hiram Guzzi

Open access · greenAbstract read
In one paragraph

Article in Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.8field-weighted citation impact, top 6% of its field
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

16 citing papers in PubMed, 29 citations in OpenAlex.

  1. Review
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  5. PyPCN: protein contact networks in PyMOL.Bioinformatics (Oxford, England) · 2023
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  8. Structural analysis of SARS-CoV-2 Spike protein variants through graph embedding.Network modeling and analysis in health informatics and bioinformatics · 2023
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  9. Review
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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

3 authors at 3 institutions in 3 countries.

Jayanta Kumar DasDepartment of Pediatrics, School of Medicine, Johns Hopkins University, MD, USA.
Swarup RoyNetwork Reconstruction & Analysis (NetRA) Lab, Department of Computer Applications, Sikkim University, Gangtok, India. Electronic address: sroy01@cus.ac.in.
Pietro Hiram GuzziDepartment of Medical and Surgical Sciences, Magna Graecia University, Catanzaro, Italy. Electronic address: hguzzi@unicz.it.
Johns Hopkins Medicine · USMagna Graecia University · ITSikkim University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development of therapeutic targets for COVID-19 relies on understanding the molecular mechanism of pathogenesis. Identifying genes or proteins involved in the infection mechanism is the key to shedding light on the complex molecular mechanisms. The combined effort of many laboratories distributed throughout the world has produced protein and genetic interactions. We integrated available results and obtained a host protein-protein interaction network composed of 1432 human proteins. Next, we performed network centrality analysis to identify critical proteins in the derived network. Finally, we performed a functional enrichment analysis of central proteins. We observed that the identified proteins are primarily associated with several crucial pathways, including cellular process, signaling transduction, neurodegenerative diseases. We focused on the proteins that are involved in human respiratory tract diseases. We highlighted many potential therapeutic targets, including RBX1, HSPA5, ITCH, RAB7A, RAB5A, RAB8A, PSMC5, CAPZB, CANX, IGF2R, and HSPA1A, which are central and also associated with multiple diseases.

Indexed as

Protein Interaction MapsCOVID-19Endoplasmic Reticulum Chaperone BiPGene OntologyHost-Pathogen InteractionsHumansProteinsSARS-CoV-2Viral ProteinsEndoplasmic Reticulum Chaperone BiPHSPA5 protein, humanProteinsViral ProteinsCentralityCOVID-19DiseasePathwaysProtein-protein interactionSARS-CoV-2

Identifiers

PMID34004362
PMCPMC8123524
OpenAlexW3128563282

What OpenQuestion holds

Textmetadata
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.