← Volver a resultados
Ficha bibliográfica · Consulta y acceso
Artículo

A bioinformatics pipeline for the design of a SART3-targeted cancer vaccine with enhanced immunogenicity

Zeynab Bayat et al · BioMed Central · 2026

Acceso abierto disponible
Lectura rápida. Revisá los datos básicos del recurso y luego accedé al contenido desde el botón principal. En esta ficha solo se muestra la información necesaria para identificar la obra, citarla y abrirla.

Acceso al recurso

Entrá al contenido desde la opción principal o elegí otra fuente disponible.

Acceso principal

Acceso abierto disponible

DOAJ DOAJ - Open Access Journals
Recurso identificado como acceso abierto, sin confirmar automáticamente si es texto completo directo.
Abrir recurso

Resumen

Descripción general del contenido del recurso.

Abstract Background and objectives Squamous cell carcinoma antigen recognized by T-cells 3 (SART3) has emerged as a promising target for cancer immunotherapy, given its overexpression in various malignancies and low or absent expression in non-tumorous tissues. This study aimed to design rationally and in silico evaluate a multi-epitope T cell vaccine targeting SART3, incorporating a TLR4 agonist adjuvant. The vaccine’s predicted immunogenicity, physicochemical properties, structural stability, and interaction with TLR4 were comprehensively assessed. Additional assessments of cytokine-inducing potential, B-cell epitopes, and disulfide engineering opportunities were also executed. Methods Potential T-cell epitopes from SART3 were identified using IEDB and screened for antigenicity (VaxiJen), toxicity (ToxinPred), and MHC-I/II binding affinity. Cytokine-inducing epitopes were evaluated using IL4pred, IL-10Pred, and IFNepitope servers. B-cell epitopes were predicted using ElliPro. The vaccine underwent comprehensive physicochemical, structural (I-TASSER/GalaxyRefine), molecular docking (HDOCK), molecular dynamics simulations, and disulfide engineering (Disulfide by Design 2.0) analyses. Results The optimized 344-residue vaccine demonstrated non-allergenicity, high stability (instability index 17.16), antigenicity (Vaxijen 0.67), and solubility (SOLpro 0.96). HDOCK predicted favorable vaccine–TLR4 binding (ΔG = − 265.61 kcal/mol, confidence 91%). MD simulations confirmed complex stability. Cytokine analysis revealed the potential to induce IL-4 and IL-10. The Val80–Ala123 pair exhibited the lowest bond energy (1.16 kcal/mol), indicating the optimal geometry for disulfide bond formation. The in silico immune simulations demonstrated a robust immune response following vaccine administration. Conclusion This rationally designed SART3-targeted multi-epitope vaccine exhibits promising in silico characteristics across immunogenicity, physicochemical, cytokine-inducing, B-cell epitope, structural, and disulfide engineering profiles, warranting experimental validation for cancer immunotherapy development.

Cómo citar

Elegí el formato que necesitás y copiá la referencia al portapapeles.

APA 7

al, Z. B. E. (2026). A bioinformatics pipeline for the design of a SART3-targeted cancer vaccine with enhanced immunogenicity. https://doi.org/10.1186/s44342-026-00068-5

MLA

al, Zeynab Bayat et. "A bioinformatics pipeline for the design of a SART3-targeted cancer vaccine with enhanced immunogenicity." 2026. https://doi.org/10.1186/s44342-026-00068-5.

Chicago

al, Zeynab Bayat et. 2026. "A bioinformatics pipeline for the design of a SART3-targeted cancer vaccine with enhanced immunogenicity.". https://doi.org/10.1186/s44342-026-00068-5.

Harvard

al, Z. B. E. 2026, A bioinformatics pipeline for the design of a SART3-targeted cancer vaccine with enhanced immunogenicity, BioMed Central, available at: https://doi.org/10.1186/s44342-026-00068-5 [Accessed 21 Jun. 2026].

Compartir e imprimir

Guardá la ficha, copiá su enlace permanente o imprimila como PDF.

Exportar referencia

Si usás un gestor bibliográfico, podés exportar el registro en los formatos más comunes.

Detalles del recurso

Información bibliográfica útil para confirmar que se trata del material correcto.

Título
A bioinformatics pipeline for the design of a SART3-targeted cancer vaccine with enhanced immunogenicity
Autor / colaboradores
Zeynab Bayat et al
Editorial
BioMed Central
Año de publicación
2026
ISSN
1598-866X
ISSN
1598-866X
Idioma
eng

Materias

Explorá otros recursos relacionados a partir de estas materias.

Copiado