Integrating immunoinformatics and computational epitope prediction for a vaccine candidate against respiratory syncytial virus-Reference-Cited by-同舟云学术

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Integrating immunoinformatics and computational epitope prediction for a vaccine candidate against respiratory syncytial virus

Published:2024-09 Issue:3 Volume:9 Page:763-774
ISSN:2468-0427
Container-title:Infectious Disease Modelling
language:en
Short-container-title:Infectious Disease Modelling

Author:

Nguyen Truc Ly,Kim Heebal^ORCID

Publisher

Elsevier BV

Reference68 articles.

1. Gromacs: High performance molecular simulations through multi-level parallelism from laptops to supercomputers;Abraham;SoftwareX,2015

2. Immunoinformatics-Aided design of a peptide based multiepitope vaccine targeting glycoproteins and membrane proteins against monkeypox virus;Akhtar;Viruses,2022

3. Secreted aspartyl proteinases targeted multi-epitope vaccine design for Candida dubliniensis using immunoinformatics;Akhtar;Vaccines,2023

4. Gapped sequence alignment using artificial neural networks: Application to the MHC class I system;Andreatta;Bioinformatics,2016

5. Toward the estimation of the absolute quality of individual protein structure models;Benkert;Bioinformatics,2010

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Analysis of the prevalence and clinical features of respiratory syncytial virus infection in a pediatric hospital in Zhejiang Province from 2019 to 2023;Journal of Medical Virology;2024-06

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