Ontology highlight
ABSTRACT:
SUBMITTER: Zambrana C
PROVIDER: S-EPMC8460804 | biostudies-literature | 2021 Sep
REPOSITORIES: biostudies-literature
Zambrana Carme C Xenos Alexandros A Böttcher René R Malod-Dognin Noël N Pržulj Nataša N
Scientific reports 20210923 1
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 huma ...[more]