Network neighbors of viral targets and differentially expressed genes in COVID-19 are drug target candidates.
Sci Rep
; 11(1): 18985, 2021 09 23.
Artículo
en Inglés
| 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.
Texto completo:
Disponible
Colección:
Bases de datos internacionales
Base de datos:
MEDLINE
Asunto principal:
Evaluación Preclínica de Medicamentos
/
SARS-CoV-2
/
Tratamiento Farmacológico de COVID-19
Tipo de estudio:
Estudio pronóstico
Tópicos:
Medicina tradicional
Límite:
Humanos
Idioma:
Inglés
Revista:
Sci Rep
Año:
2021
Tipo del documento:
Artículo
País de afiliación:
S41598-021-98289-x
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