An immunoinformatics-based designed multi-epitope candidate vaccine (mpme-VAC/STV-1) against Mycoplasma pneumoniae

Rodrigues, Thaís Cristina Vilela; Jaiswal, Arun Kumar; Lemes, Marcela Rezende; Silva, Marcos Vinícius da; Sales‐Campos, Helioswilton; Alcântara, Luiz Carlos Júnior; Tosta, Sthephane Fraga de Oliveira; Kato, Rodrigo Bentes; Alzahrani, Khalid J.; Barh, Debmalya; Azevedo, Vasco; Tiwari, Sandeep; Soares, Siomar de Castro

doi:10.1016/j.compbiomed.2021.105194

Cited by 7 publications

(5 citation statements)

References 88 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Reverse vaccinology has been used as a promising strategy for increasing the chances of finding an applicable target for vaccines against infectious diseases. The majority of the studies have been performed using bacterial genomes such as Mycoplasma pneumoniae [ 68 ], Shigella dysenteriae [ 69 ] and Staphylococcus aureus [ 70 ], but it has also been applied for viruses and fungi, such as Ebola [ 71 ] and Candida tropicalis [ 72 ], respectively. This bioinformatics approach has not only been used in order to increase the probability of finding a potential vaccine candidate, but also for the search of targets for new drugs.…”

Section: Discussionmentioning

confidence: 99%

Comparative Genomics of Histoplasma capsulatum and Prediction of New Vaccines and Drug Targets

Almeida

Roque

Felice

et al. 2023

JoF

Self Cite

View full text Add to dashboard Cite

Histoplasma capsulatum is a thermodymorphic fungus that causes histoplasmosis, a systemic mycosis that presents different clinical manifestations, ranging from self-limiting to acute lung infection, chronic lung infection and disseminated infection. Usually, it affects severely immunocompromised patients although immunocompetent patients can also be infected. Currently, there are no vaccines to prevent histoplasmosis and the available antifungal treatment presents moderate to high toxicity. Additionally, there are few options of antifungal drugs. Thus, the aim of this study was to predict possible protein targets for the construction of potential vaccine candidates and predict potential drug targets against H. capsulatum. Whole genome sequences from four previously published H. capsulatum strains were analyzed and submitted to different bioinformatic approaches such as reverse vaccinology and subtractive genomics. A total of four proteins were characterized as good protein candidates (vaccine antigens) for vaccine development, three of which are membrane-bound and one is secreted. In addition, it was possible to predict four cytoplasmic proteins which were classified as good protein candidates and, through molecular docking performed for each identified target, we found four natural compounds that showed favorable interactions with our target proteins. Our study can help in the development of potential vaccines and new drugs that can change the current scenario of the treatment and prevention of histoplasmosis.

show abstract

Section: Discussionmentioning

confidence: 99%

Comparative Genomics of Histoplasma capsulatum and Prediction of New Vaccines and Drug Targets

Almeida

Roque

Felice

et al. 2023

JoF

Self Cite

View full text Add to dashboard Cite

show abstract

“…For MHCI, the "Recommended" and "netmhccons" methods were used to predict nine amino acid epitopes, while for MHCII, "Recommended" and "nn_align" were used to predict 15 amino acid epitopes (standard size), both from a collection of 27 MHCI and MHCII reference alleles. In this way, using two different tools, it was possible to achieve greater accuracy and precision in prediction [21]. In addition, B-cell epitopes of size 16 were predicted by the ABCpred tool [23] and only those with a score better than 0.51 were selected for the next steps.…”

Section: Mhci Mhcii and B-cell Epitope Prediction Filtering And Overl...mentioning

confidence: 99%

“…Finally, we have recently conducted one of the only studies on subtractive genomics and reverse vaccinology for fungi, where four vaccine targets were identified as capable as acting as antigens that can be used in the production of new vaccines against Histoplasma capsulatum [19]. In this context, it is possible to predict epitopes that elicit immune responses associated with T and B lymphocytes and to develop new and effective vaccines [20,21].…”

Section: Introductionmentioning

confidence: 99%

Design of a Multi-Epitope Vaccine against Histoplasma capsulatum through Immunoinformatics Approaches

Marques,

Tiwari,

Felice

et al. 2024

JoF

Self Cite

View full text Add to dashboard Cite

Histoplasmosis is a widespread systemic disease caused by Histoplasma capsulatum, prevalent in the Americas. Despite its significant morbidity and mortality rates, no vaccines are currently available. Previously, five vaccine targets and specific epitopes for H. capsulatum were identified. Immunoinformatics has emerged as a novel approach for determining the main immunogenic components of antigens through in silico methods. Therefore, we predicted the main helper and cytotoxic T lymphocytes and B-cell epitopes for these targets to create a potential multi-epitope vaccine known as HistoVAC-TSFM. A total of 38 epitopes were found: 23 common to CTL and B-cell responses, 11 linked to HTL and B cells, and 4 previously validated epitopes associated with the B subunit of cholera toxin, a potent adjuvant. In silico evaluations confirmed the stability, non-toxicity, non-allergenicity, and non-homology of these vaccines with the host. Notably, the vaccine exhibited the potential to trigger both innate and adaptive immune responses, likely involving the TLR4 pathway, as supported by 3D modeling and molecular docking. The designed HistoVAC-TSFM appears promising against Histoplasma, with the ability to induce important cytokines, such as IFN-γ, TNF-α, IL17, and IL6. Future studies could be carried out to test the vaccine’s efficacy in in vivo models.

show abstract

“…It is important to highlight that the prediction of the B cell epitope plays a supporting role alongside the in silico methodology used for vaccine development, while the identification of epitopes for the T cell receptor is the most important goal. In this context, the prediction of the linear B cell epitope can be commonly associated with the initial analysis or associated with discontinuous B cell epitope prediction, which can support the confirmation of the final target once the tertiary structure is elucidated [ 208 , 209 , 210 ].…”

Section: Bioinformatic Tools For Vaccine Development Against Fungimentioning

confidence: 99%

Fungal Vaccine Development: State of the Art and Perspectives Using Immunoinformatics

Inácio

Moreira

Cruz-Leite

et al. 2023

JoF

View full text Add to dashboard Cite

Fungal infections represent a serious global health problem, causing damage to health and the economy on the scale of millions. Although vaccines are the most effective therapeutic approach used to combat infectious agents, at the moment, no fungal vaccine has been approved for use in humans. However, the scientific community has been working hard to overcome this challenge. In this sense, we aim to describe here an update on the development of fungal vaccines and the progress of methodological and experimental immunotherapies against fungal infections. In addition, advances in immunoinformatic tools are described as an important aid by which to overcome the difficulty of achieving success in fungal vaccine development. In silico approaches are great options for the most important and difficult questions regarding the attainment of an efficient fungal vaccine. Here, we suggest how bioinformatic tools could contribute, considering the main challenges, to an effective fungal vaccine.

show abstract

An immunoinformatics-based designed multi-epitope candidate vaccine (mpme-VAC/STV-1) against Mycoplasma pneumoniae

Cited by 7 publications

References 88 publications

Comparative Genomics of Histoplasma capsulatum and Prediction of New Vaccines and Drug Targets

Comparative Genomics of Histoplasma capsulatum and Prediction of New Vaccines and Drug Targets

Design of a Multi-Epitope Vaccine against Histoplasma capsulatum through Immunoinformatics Approaches

Fungal Vaccine Development: State of the Art and Perspectives Using Immunoinformatics

Contact Info

Product

Resources

About