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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Biomedical Informatics
2020
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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. |
format | Online Article Text |
id | pubmed-7452743 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Biomedical Informatics |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT kapoorsaketh predictedpeptidepatternsfromthesarscov2proteomeformsmsbaseddiagnosis AT subbapratigya predictedpeptidepatternsfromthesarscov2proteomeformsmsbaseddiagnosis |