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Predicted peptide patterns from the SARS-CoV-2 proteome for MS-MS based diagnosis

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 det...

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Autores principales: Kapoor, Saketh, Subba, Pratigya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Biomedical Informatics 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7452743/
https://www.ncbi.nlm.nih.gov/pubmed/32884213
http://dx.doi.org/10.6026/97320630016477
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author Kapoor, Saketh
Subba, Pratigya
author_facet Kapoor, Saketh
Subba, Pratigya
author_sort Kapoor, Saketh
collection PubMed
description 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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spelling pubmed-74527432020-09-02 Predicted peptide patterns from the SARS-CoV-2 proteome for MS-MS based diagnosis Kapoor, Saketh Subba, Pratigya Bioinformation Research Article 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. Biomedical Informatics 2020-06-30 /pmc/articles/PMC7452743/ /pubmed/32884213 http://dx.doi.org/10.6026/97320630016477 Text en © 2020 Biomedical Informatics http://creativecommons.org/licenses/by/3.0/ This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.
spellingShingle Research Article
Kapoor, Saketh
Subba, Pratigya
Predicted peptide patterns from the SARS-CoV-2 proteome for MS-MS based diagnosis
title Predicted peptide patterns from the SARS-CoV-2 proteome for MS-MS based diagnosis
title_full Predicted peptide patterns from the SARS-CoV-2 proteome for MS-MS based diagnosis
title_fullStr Predicted peptide patterns from the SARS-CoV-2 proteome for MS-MS based diagnosis
title_full_unstemmed Predicted peptide patterns from the SARS-CoV-2 proteome for MS-MS based diagnosis
title_short Predicted peptide patterns from the SARS-CoV-2 proteome for MS-MS based diagnosis
title_sort predicted peptide patterns from the sars-cov-2 proteome for ms-ms based diagnosis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7452743/
https://www.ncbi.nlm.nih.gov/pubmed/32884213
http://dx.doi.org/10.6026/97320630016477
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