Network neighbors of viral targets and differentially expressed genes in COVID-19 are drug target candidates.
Sci Rep
; 11(1): 18985, 2021 09 23.
Article
in English
| MEDLINE | ID: covidwho-1437690
ABSTRACT
The COVID-19 pandemic is raging. It revealed the importance of rapid scientific advancement towards understanding and treating new diseases. To address this challenge, we adapt an explainable artificial intelligence algorithm for data fusion and utilize it on new omics data on viral-host interactions, human protein interactions, and drugs to better understand SARS-CoV-2 infection mechanisms and predict new drug-target interactions for COVID-19. We discover that in the human interactome, the human proteins targeted by SARS-CoV-2 proteins and the genes that are differentially expressed after the infection have common neighbors central in the interactome that may be key to the disease mechanisms. We uncover 185 new drug-target interactions targeting 49 of these key genes and suggest re-purposing of 149 FDA-approved drugs, including drugs targeting VEGF and nitric oxide signaling, whose pathways coincide with the observed COVID-19 symptoms. Our integrative methodology is universal and can enable insight into this and other serious diseases.
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Drug Evaluation, Preclinical
/
SARS-CoV-2
/
COVID-19 Drug Treatment
Type of study:
Prognostic study
Topics:
Traditional medicine
Limits:
Humans
Language:
English
Journal:
Sci Rep
Year:
2021
Document Type:
Article
Affiliation country:
S41598-021-98289-x
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