In silico T cell epitope identification for SARS-CoV-2: Progress and perspectives.
Adv Drug Deliv Rev
; 171: 29-47, 2021 04.
Article
in English
| MEDLINE | ID: covidwho-1064698
ABSTRACT
Growing evidence suggests that T cells may play a critical role in combating severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Hence, COVID-19 vaccines that can elicit a robust T cell response may be particularly important. The design, development and experimental evaluation of such vaccines is aided by an understanding of the landscape of T cell epitopes of SARS-CoV-2, which is largely unknown. Due to the challenges of identifying epitopes experimentally, many studies have proposed the use of in silico methods. Here, we present a review of the in silico methods that have been used for the prediction of SARS-CoV-2 T cell epitopes. These methods employ a diverse set of technical approaches, often rooted in machine learning. A performance comparison is provided based on the ability to identify a specific set of immunogenic epitopes that have been determined experimentally to be targeted by T cells in convalescent COVID-19 patients, shedding light on the relative performance merits of the different approaches adopted by the in silico studies. The review also puts forward perspectives for future research directions.
Keywords
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Computer Simulation
/
Epitopes, T-Lymphocyte
/
COVID-19 Vaccines
/
SARS-CoV-2
/
COVID-19
Type of study:
Experimental Studies
/
Prognostic study
Topics:
Vaccines
Limits:
Animals
/
Humans
Language:
English
Journal:
Adv Drug Deliv Rev
Journal subject:
Pharmacology
/
Drug Therapy
Year:
2021
Document Type:
Article
Affiliation country:
J.addr.2021.01.007
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