Next Article in Journal
Efficacy and Safety of COVID-19 Vaccines in Phase III Trials: A Meta-Analysis
Next Article in Special Issue
Could a New COVID-19 Mutant Strain Undermine Vaccination Efforts? A Mathematical Modelling Approach for Estimating the Spread of B.1.1.7 Using Ontario, Canada, as a Case Study
Previous Article in Journal
How Public Health Professionals View Mandatory Vaccination in Italy—A Cross-Sectional Survey
Previous Article in Special Issue
Maximization of Open Hospital Capacity under Shortage of SARS-CoV-2 Vaccines—An Open Access, Stochastic Simulation Tool
Article

An Immunoinformatics Approach for SARS-CoV-2 in Latam Populations and Multi-Epitope Vaccine Candidate Directed towards the World’s Population

1
Grupo de Investigación en Epidemiología Clínica de Colombia (GRECO), Universidad Pedagógica y Tecnológica de Colombia, Tunja 150003, Colombia
2
Facultad de Ingeniería y Ciencias, Pontificia Universidad Javeriana Cali, Santiago de Cali 760031, Colombia
3
Laboratorio de Simulación Molecular, Facultad de Ciencias Básicas y Biomédicas, Universidad Simón Bolívar, Barranquilla 080002, Colombia
*
Author to whom correspondence should be addressed.
Academic Editors: Steven B. Bradfute, Ralph A. Tripp and Scott Anthony
Vaccines 2021, 9(6), 581; https://doi.org/10.3390/vaccines9060581
Received: 27 March 2021 / Revised: 21 April 2021 / Accepted: 28 April 2021 / Published: 1 June 2021
(This article belongs to the Collection COVID-19 Vaccines and Vaccination)
The coronavirus pandemic is a major public health crisis affecting global health systems with dire socioeconomic consequences, especially in vulnerable regions such as Latin America (LATAM). There is an urgent need for a vaccine to help control contagion, reduce mortality and alleviate social costs. In this study, we propose a rational multi-epitope candidate vaccine against SARS-CoV-2. Using bioinformatics, we constructed a library of potential vaccine peptides, based on the affinity of the most common major human histocompatibility complex (HLA) I and II molecules in the LATAM population to predict immunological complexes among antigenic, non-toxic and non-allergenic peptides extracted from the conserved regions of 92 proteomes. Although HLA-C, had the greatest antigenic peptide capacity from SARS-CoV-2, HLA-B and HLA-A, could be more relevant based on COVID-19 risk of infection in LATAM countries. We also used three-dimensional structures of SARS-CoV-2 proteins to identify potential regions for antibody production. The best HLA-I and II predictions (with increased coverage in common alleles and regions evoking B lymphocyte responses) were grouped into an optimized final multi-epitope construct containing the adjuvants Beta defensin-3, TpD, and PADRE, which are recognized for invoking a safe and specific immune response. Finally, we used Molecular Dynamics to identify the multi-epitope construct which may be a stable target for TLR-4/MD-2. This would prove to be safe and provide the physicochemical requirements for conducting experimental tests around the world. View Full-Text
Keywords: SARS-CoV-2; vaccine; LATAM; in silico SARS-CoV-2; vaccine; LATAM; in silico
Show Figures

Figure 1

MDPI and ACS Style

Cuspoca, A.F.; Díaz, L.L.; Acosta, A.F.; Peñaloza, M.K.; Méndez, Y.R.; Clavijo, D.C.; Yosa Reyes, J. An Immunoinformatics Approach for SARS-CoV-2 in Latam Populations and Multi-Epitope Vaccine Candidate Directed towards the World’s Population. Vaccines 2021, 9, 581. https://doi.org/10.3390/vaccines9060581

AMA Style

Cuspoca AF, Díaz LL, Acosta AF, Peñaloza MK, Méndez YR, Clavijo DC, Yosa Reyes J. An Immunoinformatics Approach for SARS-CoV-2 in Latam Populations and Multi-Epitope Vaccine Candidate Directed towards the World’s Population. Vaccines. 2021; 9(6):581. https://doi.org/10.3390/vaccines9060581

Chicago/Turabian Style

Cuspoca, Andrés F., Laura L. Díaz, Alvaro F. Acosta, Marcela K. Peñaloza, Yardany R. Méndez, Diana C. Clavijo, and Juvenal Yosa Reyes. 2021. "An Immunoinformatics Approach for SARS-CoV-2 in Latam Populations and Multi-Epitope Vaccine Candidate Directed towards the World’s Population" Vaccines 9, no. 6: 581. https://doi.org/10.3390/vaccines9060581

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop