ArticleBMC medical informatics and decision making2021
Computational analysis to repurpose drugs for COVID-19 based on transcriptional response of host cells to SARS-CoV-2.
Article in BMC medical informatics and decision making, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.
- A Systematic Review of the Global Intervention for SARS-CoV-2 Combating: From Drugs Repurposing to Molnupiravir Approval.Drug design, development and therapy · 2022Pooled it
- Neuro-immune-bone axis in post-traumatic bone regeneration: temporal regulation, dysregulation mechanisms, and therapeutic implications.Frontiers in immunology · 2026Review
- Drug Repurposing: Insights into Current Advances and Future Applications.Current medicinal chemistry · 2025Review
- Navigating the COVID-19 Therapeutic Landscape: Unveiling Novel Perspectives on FDA-Approved Medications, Vaccination Targets, and Emerging Novel Strategies.Molecules (Basel, Switzerland) · 2024Review
- COV-ECGNET: COVID-19 detection using ECG trace images with deep convolutional neural network.Health information science and systems · 2022Article
- How Aging and Oxidative Stress Influence the Cytopathic and Inflammatory Effects of SARS-CoV-2 Infection: The Role of Cellular Glutathione and Cysteine Metabolism.Antioxidants (Basel, Switzerland) · 2022Review
- Prognosis patients with COVID-19 using deep learning.BMC medical informatics and decision making · 2022Article
- Endoplasmic reticulum stress and NF-kB activation in SARS-CoV-2 infected cells and their response to antiviral therapy.IUBMB life · 2022Article
- Weakly activated core neuroinflammation pathways were identified as a central signaling mechanism contributing to the chronic neurodegeneration in Alzheimer's disease.Frontiers in aging neuroscience · 2022Article
- Therapeutic potential of long-acting opioids and opioid antagonists for SARS-CoV-2 infection.British journal of anaesthesia · 2021Article
- Using informative features in machine learning based method for COVID-19 drug repurposing.Journal of cheminformatics · 2021Article
- Efficacy and safety of dihydroorotate dehydrogenase (DHODH) inhibitors "leflunomide" and "teriflunomide" in Covid-19: A narrative review.European journal of pharmacology · 2021Review
- Weakly activated core inflammation pathways were identified as a central signaling mechanism contributing to the chronic neurodegeneration in Alzheimer's disease.bioRxiv : the preprint server for biology · 2021Article
- Analysis of the molecular mechanism of SARS-CoV-2 antibodies.Biochemical and biophysical research communications · 2021Review
- Classification of COVID-19 electrocardiograms by using hexaxial feature mapping and deep learning.BMC medical informatics and decision making · 2021Article
- A review of COVID-19 biomarkers and drug targets: resources and tools.Briefings in bioinformatics · 2021Review
- Multi-omics-based identification of SARS-CoV-2 infection biology and candidate drugs against COVID-19.Computers in biology and medicine · 2020Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe Coronavirus Disease 2019 (COVID-19) pandemic has infected over 10 million people globally with a relatively high mortality rate. There are many therapeutics undergoing clinical trials, but there is no effective vaccine or therapy for treatment thus far. After affected by the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), molecular signaling pathways of host cells play critical roles during the life cycle of SARS-CoV-2. Thus, it is significant to identify the involved molecular signaling pathways within the host cells. Drugs targeting these molecular signaling pathways could be potentially effective for COVID-19 treatment.
methodsIn this study, we developed a novel integrative analysis approach to identify the related molecular signaling pathways within host cells, and repurposed drugs as potentially effective treatments for COVID-19, based on the transcriptional response of host cells.
resultsWe identified activated signaling pathways associated with the infection caused SARS-CoV-2 in human lung epithelial cells through integrative analysis. Then, the activated gene ontologies (GOs) and super GOs were identified. Signaling pathways and GOs such as MAPK, JNK, STAT, ERK, JAK-STAT, IRF7-NFkB signaling, and MYD88/CXCR6 immune signaling were particularly activated. Based on the identified signaling pathways and GOs, a set of potentially effective drugs were repurposed by integrating the drug-target and reverse gene expression data resources. In addition to many drugs being evaluated in clinical trials, the dexamethasone was top-ranked in the prediction, which was the first reported drug to be able to significantly reduce the death rate of COVID-19 patients receiving respiratory support.
conclusionsThe integrative genomics data analysis and results can be helpful to understand the associated molecular signaling pathways within host cells, and facilitate the discovery of effective drugs for COVID-19 treatment.
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