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Predicted peptide patterns from the SARS-CoV-2 proteome for MS-MS based diagnosis
Saketh Kapoor1, Pratigya Subba2
1Stem Cells and Regenerative Medicine Center, Yenepoya Research Centre, Yenepoya (Deemed to be University), Deralakatte, Mangalore, Karnataka, Pincode-575018, India.
Bioinformation
|September 5, 2020
Summary
Mass spectrometry offers a novel approach to identify SARS-CoV-2, the virus causing COVID-19. This method aids in detecting viral peptides for early COVID-19 diagnosis, overcoming antibody variability concerns.
Area of Science:
- Virology
- Biochemistry
- Analytical Chemistry
Background:
- COVID-19, caused by SARS-CoV-2, is a global pandemic declared by the WHO.
- Current diagnostic methods like PCR and antibody assays face challenges due to antibody variability linked to viral mutations.
Purpose of the Study:
- To explore the utility of mass spectrometry-based platforms for identifying SARS-CoV-2.
- To establish a dataset for targeted mass-spectrometric analysis of SARS-CoV-2 peptides.
- To enable early diagnosis of COVID-19 through detection of viral peptides in biological fluids.
Main Methods:
- Utilizing data patterns from mass spectrometry.
- Performing targeted mass-spectrometric analysis of SARS-CoV-2 peptides.
- Analyzing complex biological fluids for viral peptide detection.
Main Results:
- Demonstrated the potential of mass spectrometry for SARS-CoV-2 identification.
- Generated a dataset applicable to targeted mass-spectrometric analysis.
- Showcased the extrapolation of this method for clinical applications.
Conclusions:
- Mass spectrometry presents a promising alternative for SARS-CoV-2 detection.
- This approach can overcome limitations associated with antibody variability in diagnostics.
- The methodology supports early and accurate diagnosis of COVID-19.
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