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10.6026/97320630016477

http://scihub22266oqcxt.onion/10.6026/97320630016477
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32884213!7452743!32884213
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suck abstract from ncbi


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pmid32884213      Bioinformation 2020 ; 16 (6): 477-482
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  • Predicted peptide patterns from the SARS-CoV-2 proteome for MS-MS based diagnosis #MMPMID32884213
  • Kapoor S; Subba P
  • Bioinformation 2020[]; 16 (6): 477-482 PMID32884213show ga
  • COVID-19 caused by 2019 novel coronavirus (2019-nCoV2) also known as SARS-CoV-2 has manifested globally since January 2020. COVID-19 was declared as a pandemic by the WHO and has become a serious global health concern. Real-time PCR based and antibody-based assays are being used for the clinical detection of the virus in body fluids and nasopharyngeal swabs. Antibody variability linked to viral mutations is a big concern. Hence, it is of interest to use data patterns from mass spectrometry-based platforms for the identification of SARS-CoV-2. This dataset can be used to perform targeted mass-spectrometric analysis of SARS-CoV-2 peptides. This work can be extrapolated for the detection of SARS-CoV-2 viral peptides in complex biological fluids for early diagnosis of COVID-19.
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