Integrative Bioinformatics Analysis Provides Insight into the Molecular Mechanisms of 2019-nCoV
He, X.; Zhang, L.; Ran, Q.; Xiong, A.; Wang, J.; Wu, D.; Chen, F.; Li, G.
Show abstract
The 2019-nCoV is reported to share the same entry (ACE2) as SARS-CoV according to the updated findings. Analyzing the distribution and expression level of the route of coronavirus may help reveal underlying mechanisms of viral susceptibility and post-infection modulation. In this study, we found that the expression of ACE2 in healthy populations and patients with underlying diseases was not significantly different, suggesting relatively similar susceptibility. Besides, based on the expression of ACE2 in smoking individuals, we inferred that long-term smoking might be a risk factor for 2019-nCoV. Analyzing the ACE2 in SARS-CoV infected cells suggested that ACE2 was more than just a receptor but also participated in post-infection regulation, including immune response, cytokine secretion, and viral genome replication. Moreover, we also constructed Protein-protein interaction (PPI) networks and identified hub genes in viral activity and cytokine secretion. Our findings may explain the clinical symptoms so far and help clinicians and researchers understand the pathogenesis and design therapeutic strategies for 2019-nCoV.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Effects of SARS-CoV-2 Mutations on Protein Structures and Intraviral Protein-Protein Interactions 95%
- Key mutations on spike protein altering ACE2 receptor utilization and potentially expanding host range of emerging SARS-CoV-2 variants 95%
- SARS-CoV-2 ORF9b Antagonizes Type I and III Interferons by Targeting Multiple Components of RIG-I/MDA-5-MAVS, TLR3-TRIF, and cGAS-STING Signaling Pathways 93%
Similar papers in this journal
- Prediction of coronavirus 3C-like protease cleavage sites using machine-learning algorithms 93%
- Viral load dynamics in asymptomatic and symptomatic patients during Omicron BA.2 outbreak in Shanghai, China, 2022: a longitudinal cohort study 93%
- Prediction of the receptorome for the human-infecting virome 92%
Similar papers in this journal
Similar papers in this journal
- What is required to prevent a second major outbreak of the novel coronavirus SARS-CoV-2 upon lifting the metropolitan-wide quarantine of Wuhan city, China 93%
- Antibody neutralization to SARS-CoV-2 and variants after one year in Wuhan 91%
- Modelling the epidemic trend of the 2019 novel coronavirus outbreak in China 91%
Similar papers in this journal
- COVID-19: Viral-host interactome analyzed by network based-approach model to study pathogenesis of SARS-CoV-2 infection. 94%
- Potential inhibitors for blocking the interaction of the coronavirus SARS-CoV-2 spike protein and its host cell receptor ACE2 92%
- Integration of Machine Learning to Identify Diagnostic Genes in Leukocytes for Acute Myocardial Infarction Patients 91%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.