Bioinformatics Approach Predicts Candidate Targets for SARS‐CoV‐2 Infections to COPD Patients

L Che, G Chen, X Cai, Z Xie, T Xia… - BioMed Research …, 2022 - Wiley Online Library
COVID‐19 is still prevalent in more world regions and poses a severe threat to human
health due to its high pathogenicity. The incidence of COPD patients is gradually increasing …

Using system biology and bioinformatics to identify the influences of COVID-19 co-infection with influenza virus on COPD

Z Liang, X Zheng, Y Wang, K Chu, Y Gao - Functional & Integrative …, 2023 - Springer
Abstract Coronavirus disease 2019 (COVID-19) has speedily increased mortality globally.
Although they are risk factors for severe acute respiratory syndrome coronavirus 2 (SARS …

Bioinformatics analysis based on high-throughput sequencing data to identify hub genes related to different clinical types of COVID-19

S Liu, J Long, T Liang, M Lv, X Huang, X Liang… - Functional & Integrative …, 2023 - Springer
This article aims to explore hub genes related to different clinical types of cases with COVID-
19 and predict the therapeutic drugs related to severe cases. The expression profile of …

Host Factor Interaction Networks Identified by Integrative Bioinformatics Analysis Reveals Therapeutic Implications in COPD Patients With COVID-19

W Zheng, T Wang, P Wu, Q Yan, C Liu, H Wu… - Frontiers in …, 2021 - frontiersin.org
Background: The COVID-19 pandemic poses an imminent threat to humanity, especially for
those who have comorbidities. Evidence of COVID-19 and COPD comorbidities is …

Identification of COVID-19 and COPD common key genes and pathways using a protein-protein interaction approach

TS Thambiraja, K Karuppanan, G Subramaniam… - bioRxiv, 2021 - biorxiv.org
ABSTRACT Coronavirus disease (COVID-19) is an extremely contagious and cognitive
disease that could cause immense hypoxemia. The rise in critically ill patients in epidemic …

An integrative bioinformatics analysis for identifying hub genes associated with infection of lung samples in patients infected with SARS-CoV-2

TA Xie, ZJ He, C Liang, HN Dong, J Zhou… - European Journal of …, 2021 - Springer
Background At the end of 2019, the world witnessed the emergence and ravages of a viral
infection induced by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Also …

Bioinformatics and machine learning approach identifies potential drug targets and pathways in COVID-19

MR Auwul, MR Rahman, E Gov… - Briefings in …, 2021 - academic.oup.com
Abstract Current coronavirus disease-2019 (COVID-19) pandemic has caused massive loss
of lives. Clinical trials of vaccines and drugs are currently being conducted around the world; …

Screening druggable targets and predicting therapeutic drugs for COVID-19 via integrated bioinformatics analysis

S Tan, W Chen, H Xiang, G Kong, L Zou, L Wei - Genes & Genomics, 2021 - Springer
Background Since the outbreak of coronavirus disease 2019 (COVID-19) in China,
numerous research institutions have invested in the development of anti-COVID-19 vaccines …

[PDF][PDF] Informatics in Medicine Unlocked

G Babu, FA Nobel - researchgate.net
The SARS-CoV-2 virus causes Coronavirus disease, an infectious disease. The majority of
people who are infected with this virus will have mild to moderate respiratory symptoms …

Underlying mechanisms and candidate drugs for COVID-19 based on the connectivity map database

Z Li, L Yang - Frontiers in Genetics, 2020 - frontiersin.org
Background The coronavirus disease 2019 (COVID-19) has become a worldwide public
health crisis. At present, there are no effective antiviral drugs to treat COVID-19. Although …