Essential interpretations of bioinformatics in COVID-19 pandemic.

Bioinformatics COVID-19 Drug design Genome wide association study Next generation sequencing SARS-CoV-2

Journal

Meta gene
ISSN: 2214-5400
Titre abrégé: Meta Gene
Pays: Netherlands
ID NLM: 101627670

Informations de publication

Date de publication:
Feb 2021
Historique:
received: 18 10 2020
revised: 02 12 2020
accepted: 14 12 2020
pubmed: 23 12 2020
medline: 23 12 2020
entrez: 22 12 2020
Statut: ppublish

Résumé

The currently emerging pathogen SARS-CoV-2 has produced the global pandemic crisis by causing COVID-19. The unique and novel genetic makeup of SARS-CoV-2 has created hurdles in biological research, due to which the potential drug/vaccine candidates have not yet been discovered by the scientific community. Meanwhile, the advantages of bioinformatics in viral research had created a milestone since last few decades. The exploitation of bioinformatics tools and techniques has successfully interpreted this viral genomics architecture. Some major in silico studies involving next-generation sequencing, genome-wide association studies, computer-aided drug design etc. have been effectively applied in COVID-19 research methodologies and discovered novel information on SARS-CoV-2 in several ways. Nowadays the implementation of in silico studies in COVID-19 research has not only sequenced the SARS-CoV-2 genome but also properly analyzed the sequencing errors, evolutionary relationship, genetic variations, putative drug candidates against SARS-CoV-2 viral genes etc. within a very short time period. These would be very needful towards further research on COVID-19 pandemic and essential for vaccine development against SARS-CoV-2 which will save public health.

Identifiants

pubmed: 33349792
doi: 10.1016/j.mgene.2020.100844
pii: S2214-5400(20)30199-7
pmc: PMC7744275
doi:

Types de publication

Journal Article Review

Langues

eng

Pagination

100844

Informations de copyright

© 2020 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

The authors declare that they have no conflict of interest.

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Auteurs

Manisha Ray (M)

Department of Pathology & Lab Medicine, All India Institute of Medical Sciences, Bhubaneswar, Odisha 751019, India.

Mukund Namdev Sable (MN)

Department of ENT, All India Institute of Medical Sciences, Bhubaneswar, Odisha 751019, India.

Saurav Sarkar (S)

Department of Microbiology, All India Institute of Medical Sciences, Bhubaneswar, Odisha 751019, India.

Vinaykumar Hallur (V)

Department of Microbiology, All India Institute of Medical Sciences, Bhubaneswar, Odisha 751019, India.

Classifications MeSH