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Analyzing host-viral interactome of SARS-CoV-2 for identifying vulnerable host proteins during COVID-19 pathogenesis.
Das, Jayanta Kumar; Roy, Swarup; Guzzi, Pietro Hiram.
  • Das JK; Department of Pediatrics, School of Medicine, Johns Hopkins University, MD, USA.
  • Roy S; Network Reconstruction & Analysis (NetRA) Lab, Department of Computer Applications, Sikkim University, Gangtok, India. Electronic address: sroy01@cus.ac.in.
  • Guzzi PH; Department of Medical and Surgical Sciences, Magna Graecia University, Catanzaro, Italy. Electronic address: hguzzi@unicz.it.
Infect Genet Evol ; 93: 104921, 2021 Sep.
Article in English | MEDLINE | ID: covidwho-1230672
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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Host-Pathogen Interactions / Protein Interaction Maps / SARS-CoV-2 / COVID-19 Limits: Humans Language: English Journal: Infect Genet Evol Journal subject: Biology / Communicable Diseases / Genetics Year: 2021 Document Type: Article Affiliation country: J.meegid.2021.104921

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Host-Pathogen Interactions / Protein Interaction Maps / SARS-CoV-2 / COVID-19 Limits: Humans Language: English Journal: Infect Genet Evol Journal subject: Biology / Communicable Diseases / Genetics Year: 2021 Document Type: Article Affiliation country: J.meegid.2021.104921