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Machine Learning Techniques for the Prediction of B-Cell and T-Cell Epitopes as Potential Vaccine Ta...

Machine Learning Techniques for the Prediction of B-Cell and T-Cell Epitopes as Potential Vaccine Ta...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_607060f78cdc4fc3ba0562a62a443871

Machine Learning Techniques for the Prediction of B-Cell and T-Cell Epitopes as Potential Vaccine Targets with a Specific Focus on SARS-CoV-2 Pathogen: A Review

About this item

Full title

Machine Learning Techniques for the Prediction of B-Cell and T-Cell Epitopes as Potential Vaccine Targets with a Specific Focus on SARS-CoV-2 Pathogen: A Review

Publisher

Switzerland: MDPI AG

Journal title

Pathogens (Basel), 2022-01, Vol.11 (2), p.146

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI AG

More information

Scope and Contents

Contents

The only part of an antigen (a protein molecule found on the surface of a pathogen) that is composed of epitopes specific to T and B cells is recognized by the human immune system (HIS). Identification of epitopes is considered critical for designing an epitope-based peptide vaccine (EBPV). Although there are a number of vaccine types, EBPVs have r...

Alternative Titles

Full title

Machine Learning Techniques for the Prediction of B-Cell and T-Cell Epitopes as Potential Vaccine Targets with a Specific Focus on SARS-CoV-2 Pathogen: A Review

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_607060f78cdc4fc3ba0562a62a443871

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_607060f78cdc4fc3ba0562a62a443871

Other Identifiers

ISSN

2076-0817

E-ISSN

2076-0817

DOI

10.3390/pathogens11020146

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