Immunoinformatics aided approach for predicting potent cytotoxic T cell epitopes of respiratory syncytial virus-Reference-Cited by-同舟云学术

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Immunoinformatics aided approach for predicting potent cytotoxic T cell epitopes of respiratory syncytial virus

Published:2023-03-19 Issue:21 Volume:41 Page:12093-12105
ISSN:0739-1102
Container-title:Journal of Biomolecular Structure and Dynamics
language:en
Short-container-title:Journal of Biomolecular Structure and Dynamics

Author:

Anandhan Gayathri¹,Narkhede Yogesh B.²,Mohan Manikandan³⁴,Paramasivam Premasudha¹

Affiliation:

1. Department of Nanoscience and Technology, Bharathiar University, Coimbatore, Tamil Nadu, India

2. University of Notre Dame, Notre Dame, USA

3. College of Pharmacy, University of Georgia, Athens, USA

4. Vaxigen International Research Center, Coimbatore, Tamil Nadu, India

Publisher

Informa UK Limited

Subject

Molecular Biology,General Medicine,Structural Biology

Link

https://www.tandfonline.com/doi/pdf/10.1080/07391102.2023.2191136

Reference61 articles.

1. Basic local alignment search tool

2. Molecular detection and characterization of respiratory syncytial virus B genotypes circulating in Pakistani children

3. Respiratory syncytial virus entry and how to block it

4. Molecular dynamics with coupling to an external bath

5. Respiratory Syncytial Virus Infection in Navajo and White Mountain Apache Children

Cited by 2 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. Hybrid Predictive Machine Learning Model for the Prediction of Immunodominant Peptides of Respiratory Syncytial Virus;Bioengineering;2024-08-05

2. Reverse engineering protection: A comprehensive survey of reverse vaccinology-based vaccines targeting viral pathogens;Vaccine;2024-04

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