{"title":"Multi-epitope-based vaccine designing against Junín virus glycoprotein: immunoinformatics approach","authors":"Mallari Praveen","doi":"10.1186/s43094-024-00602-8","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><p>The Junín virus (JUNV) is well known for causing argentine haemorrhagic fever (AHF), a severe endemic disease in farming premises. The glycoprotein of JUNV is an important therapeutic target in vaccine design. Despite using drugs and neutralizing weakened antibodies being used in the medication, neither the severity reduced nor eradicated the infection. However, this constraint can be resolved by immunoinformatic approaches.</p><h3>Results</h3><p>The glycoprotein fasta sequence was retrieved from NCBI to anticipate the B cell and T cell epitopes through the Immune Epitope Database. Furthermore, each epitope underwent validation in Vaxijen 2.0, Aller Top, and Toxin Pred to find antigenic, nonallergic, and non-toxic peptides. Moreover, the vaccine is designed with appropriate adjuvants and linkers. Subsequently, physicochemical properties were determined in ProtParam including solubility and disulphide bonds in the SCRATCH server. The vaccine 3D structure was built using I-TASSER and refined in ModRefine. Docking between JUNV glycoprotein (PDB ID:5NUZ) with a built vaccine revealed a balanced docked complex visualized in the Drug Discovery studio, identified 280 hydrogen bonds between them. The docking score of − 15.5 kcal/mol was determined in the MM/GBSA analysis in HawkDock. MD simulations employed using the GROMACS at 20 ns resulted in minimal deviation and fewer fluctuations, particularly with high hydrogen bond-forming residues.</p><h3>Conclusion</h3><p>However, these findings present a potential vaccine for developing against JUNV glycoprotein after validating the epitopes and 3D vaccine construct through <i>in silico</i> methods. Therefore, further investigation in the wet laboratory is necessary to confirm the potentiality of the predicted vaccine.</p></div>","PeriodicalId":577,"journal":{"name":"Future Journal of Pharmaceutical Sciences","volume":null,"pages":null},"PeriodicalIF":3.4000,"publicationDate":"2024-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://fjps.springeropen.com/counter/pdf/10.1186/s43094-024-00602-8","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Future Journal of Pharmaceutical Sciences","FirstCategoryId":"1085","ListUrlMain":"https://link.springer.com/article/10.1186/s43094-024-00602-8","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PHARMACOLOGY & PHARMACY","Score":null,"Total":0}
引用次数: 0
Abstract
Background
The Junín virus (JUNV) is well known for causing argentine haemorrhagic fever (AHF), a severe endemic disease in farming premises. The glycoprotein of JUNV is an important therapeutic target in vaccine design. Despite using drugs and neutralizing weakened antibodies being used in the medication, neither the severity reduced nor eradicated the infection. However, this constraint can be resolved by immunoinformatic approaches.
Results
The glycoprotein fasta sequence was retrieved from NCBI to anticipate the B cell and T cell epitopes through the Immune Epitope Database. Furthermore, each epitope underwent validation in Vaxijen 2.0, Aller Top, and Toxin Pred to find antigenic, nonallergic, and non-toxic peptides. Moreover, the vaccine is designed with appropriate adjuvants and linkers. Subsequently, physicochemical properties were determined in ProtParam including solubility and disulphide bonds in the SCRATCH server. The vaccine 3D structure was built using I-TASSER and refined in ModRefine. Docking between JUNV glycoprotein (PDB ID:5NUZ) with a built vaccine revealed a balanced docked complex visualized in the Drug Discovery studio, identified 280 hydrogen bonds between them. The docking score of − 15.5 kcal/mol was determined in the MM/GBSA analysis in HawkDock. MD simulations employed using the GROMACS at 20 ns resulted in minimal deviation and fewer fluctuations, particularly with high hydrogen bond-forming residues.
Conclusion
However, these findings present a potential vaccine for developing against JUNV glycoprotein after validating the epitopes and 3D vaccine construct through in silico methods. Therefore, further investigation in the wet laboratory is necessary to confirm the potentiality of the predicted vaccine.
期刊介绍:
Future Journal of Pharmaceutical Sciences (FJPS) is the official journal of the Future University in Egypt. It is a peer-reviewed, open access journal which publishes original research articles, review articles and case studies on all aspects of pharmaceutical sciences and technologies, pharmacy practice and related clinical aspects, and pharmacy education. The journal publishes articles covering developments in drug absorption and metabolism, pharmacokinetics and dynamics, drug delivery systems, drug targeting and nano-technology. It also covers development of new systems, methods and techniques in pharmacy education and practice. The scope of the journal also extends to cover advancements in toxicology, cell and molecular biology, biomedical research, clinical and pharmaceutical microbiology, pharmaceutical biotechnology, medicinal chemistry, phytochemistry and nutraceuticals.