DESENHO IN SILICO DE VACINAS PEPTÍDICAS BASEADAS EM FATORES DE PLURIPOTÊNCIA ASSOCIADOS AO MELANOMA METASTÁTICO

DOI: 10.53524/lit.edt.978-65-84528-60-4/11

PALAVRAS-CHAVE: Bioinformática, câncer de pele, imunoterapia, melanoma, vacina.

KEYWORDS: Bioinformatics, skin cancer, immunotherapy, melanoma, vaccine.

ABSTRACT: OBJECTIVE: To perform an in silico vaccine design to identify potential protein targets related to the inhibition of immune checkpoints in metastatic melanoma (MT). MATERIALS AND METHODS: This is an in silico study; bioinformatics tools were used for allergenicity, antigenicity, physicochemical property, and toxicity analyses to select suitable molecular targets for antitumor vaccine development. RESULTS AND DISCUSSION: Seven genes associated with MT carcinogenesis were initially identified, of which four were selected for further analyses, leading to the mapping of 42 immunodominant epitopes. These epitopes underwent virtual screening for physicochemical characterization, immunogenicity, toxicity, and antigenicity, resulting in two priority candidates that were evaluated by molecular docking with the TLR‑7 receptor, showing hydrophobic and hydrogen‑bond interactions indicative only of theoretical structural affinity. FINAL CONSIDERATIONS: These findings, derived exclusively from computational predictions, suggest that in silico molecular mapping may support the identification of vaccine candidates against metastatic melanoma, but experimental validation is required to confirm their immunological relevance.

Autor

  • Enzo Henrike Bitencourt de Morais

  • Kelisson Alves Sousa

  • Marianne Celestino Andrade

  • Pedro Henrique da Silva Rodrigues

  • Tatiane Batista dos Santos

  • Victória Garcia Peres

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Desenvolvido por Alexsander Arcelino