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Live Imaging and Quantification of Viral Infection in K18 hACE2 Transgenic Mice Using Reporter-Expressing Recombinant SARS-CoV-2
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SARS-CoV-2-induced phosphorylation and its pharmacotherapy backed by artificial intelligence and machine learning
Fouzia Qamar1, Zubair Sharif2, Jawaria Idrees3
1Department of Biology, Lahore Garrison University, Lahore-54000, Punjab, Pakistan.
Future Science OA
|June 3, 2024
Summary
This study identifies harmful genetic variants and potential drug targets for SARS-CoV-2 (Severe Acute Respiratory Syndrome Coronavirus 2) infection by analyzing viral protein sequences and phosphorylation roles.
Area of Science:
- Virology
- Molecular Biology
- Genomics
Background:
- SARS-CoV-2 infection involves complex proteomic changes.
- Phosphorylation plays a crucial role in viral pathogenesis.
- Understanding genetic variations is key to developing treatments.
Purpose of the Study:
- To investigate the role of phosphorylation in SARS-CoV-2 infection.
- To identify harmful genetic variants in viral proteins.
- To discover potential therapeutic targets for COVID-19.
Main Methods:
- Utilized data mining to identify upregulated kinases.
- Analyzed SARS-CoV-2 spike and nucleocapsid protein sequences.
- Employed multiple predictive tools (e.g., SNAP2, MutPred2, PolyPhen-2) for variant identification.
Main Results:
- Identified eight missense variants in viral sequences.
- Four damaging variants were detected using SNPs&Go and PolyPhen-2.
- Discovered potential therapeutic agents including gilteritinib and pictilisib.
Conclusions:
- Provides insights into SARS-CoV-2 pathogenicity.
- Highlights significant viral variants and their potential impact.
- Suggests promising therapeutic candidates for further investigation.
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