Computational Immune Proteomics Approach to Target COVID-19.
J Proteome Res
; 19(11): 4233-4241, 2020 11 06.
Article
in English
| MEDLINE | ID: covidwho-960284
ABSTRACT
Progress of the omics platforms widens their application to diverse fields, including immunology. This enables a deeper level of knowledge and the provision of a huge amount of data for which management and fruitful integration with the past evidence requires a steadily growing computational effort. In light of this, immunoinformatics emerges as a new discipline placed in between the traditional lab-based investigations and the computational analysis of the biological data. Immunoinformatics make use of tailored bioinformatics tools and data repositories to facilitate the analysis of data from a plurality of disciplines and help drive novel research hypotheses and in silico screening investigations in a fast, reliable, and cost-effective manner. Such computational immunoproteomics studies may as well prepare and guide lab-based investigations, representing valuable technology for the investigation of novel pathogens, to tentatively evaluate specificity of diagnostic products, to forecast on potential adverse effects of vaccines and to reduce the use of animal models. The present manuscript provides an overview of the COVID-19 pandemic and reviews the state of the art of the omics technologies employed in fighting SARS-CoV-2 infections. A comprehensive description of the immunoinformatics approaches and its potential role in contrasting COVID-19 pandemics is provided.
Keywords
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Pneumonia, Viral
/
Coronavirus Infections
/
Proteomics
/
Betacoronavirus
Type of study:
Diagnostic study
/
Experimental Studies
Topics:
Vaccines
Limits:
Humans
Language:
English
Journal:
J Proteome Res
Journal subject:
Biochemistry
Year:
2020
Document Type:
Article
Affiliation country:
Acs.jproteome.0c00553
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