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• W3096574562 abstract "World Health Organisation declared COVID-19 a pandemic on March 11, 2020. It was temporarily named as 2019-nCoV then subsequently named as COVID-19 virus. A coronavirus is a group of viruses, known to be zoonotic, causing illness ranging from acute to mild respiratory infections. These are spherical or pleomorphic enveloped particles containing positive sense RNA. The virus enters host cells, its uncoated genetic material transcribes, and translates. Since it has started spreading rapidly, protective measures have been taken all over the world. However, its transmission has been proved to be unstoppable and the absence of an effective drug makes the situation worse. The scientific community has gone all-out to discover and develop a possible vaccine or a competent antiviral drug. Other domains of biological sciences that promise effective results and target somewhat stable entities that are proteins, could be very useful in this time of crisis. Proteomics and metabolomics are the vast fields that are equipped with sufficient technologies to face this challenge. Various protein separation and identification techniques are available which facilitates the analysis of various types of interactions among proteins and their evolutionary lineages. The presented review aims at confronting the question: 'how proteomics can help in tackling SARS-CoV-2?' It deals with the role of upcoming proteome technology in these pandemic situations and discusses the proteomics approach towards the COVID-19 dilemma." @default.
• W3096574562 created "2020-11-09" @default.
• W3096574562 creator A5010130353 @default.
• W3096574562 creator A5023460715 @default.
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• W3096574562 date "2020-11-02" @default.
• W3096574562 modified "2023-10-18" @default.
• W3096574562 title "A comprehensive overview of proteomics approach for COVID 19: new perspectives in target therapy strategies" @default.
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• W3096574562 doi "https://doi.org/10.1007/s42485-020-00052-9" @default.
• W3096574562 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/7605460" @default.
• W3096574562 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/33162722" @default.
• W3096574562 hasPublicationYear "2020" @default.
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