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August 16, 2026Scientific Reports0 citationsOpen Access

In silico design of a novel therapeutic multi-epitope vaccine against NSCLC: a reverse vaccinology approach

SASeyedehnava AhrarGNGiti Esmail NiaSESaba Hallaj Ebrahimi

Key Points

  • To design and evaluate a multi-epitope therapeutic vaccine construct targeting five major tumor-associated antigens in non-small cell lung cancer using a calreticulin adjuvant.
  • Predicted T-cell and B-cell epitopes from five tumor-associated antigens (MAGE-A4, NY-ESO-1, MUC1, SURVIVIN, and HER2) using NetMHCpan 4.1 and NetMHCIIpan 4.1, filtering for antigenicity, allergenicity, and toxicity.
  • Engineered multi-peptide vaccine constructs with linkers—with and without a calreticulin adjuvant—and modeled their physicochemical properties and structural interactions with TLR4 and HLA alleles.
  • Assessed molecular docking and dynamics stability, followed by in silico immune profiling using the C-ImmSim simulation platform.
  • Molecular docking and dynamics simulations demonstrated robust, stable structural binding between the calreticulin-adjuvanted vaccine construct and TLR4.
  • Immune response simulations predicted marked activation of both humoral (B cell) and cellular (T cell) immune pathways against the target cancer antigens.

Abstract

Non-small cell lung cancer (NSCLC) remains one of the leading causes of cancer-related deaths worldwide, highlighting the need for effective immunotherapeutic strategies. This study focuses on the in silico design and evaluation of a multi-peptide vaccine targeting five key TAAs frequently overexpressed in NSCLC (MAGE-A4, NY-ESO-1, MUC1, SURVIVIN, and HER2) and on assessing the effect of incorporating calreticulin as an immunostimulatory adjuvant. Using immunoinformatics approaches, three distinct vaccine constructs were designed: one incorporating calreticulin adjuvant, another without the adjuvant, and a third consisting of the whole sequences of the TAAs. Epitope prediction was performed using NetMHCpan 4.1 and NetMHCIIpan 4.1, followed by screening for antigenicity, allergenicity, immunogenicity, and toxicity. The predicted novel epitopes were assembled into multi-peptide constructs using appropriate linkers, which were then analyzed for physicochemical characteristics and structural interactions with TLRs and HLA alleles. Molecular docking and dynamics simulations demonstrated a strong interaction between the calreticulin-containing construct and TLR4. Immune simulations using the C-ImmSim platform predicted strong activation of both B and T cell responses. While the in silico results are promising, further in vitro and in vivo studies are required to comprehensively evaluate the vaccine’s safety and therapeutic efficacy.

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Cite This Study

Ahrar et al. (2026) studied this question.

synapsesocial.com/papers/6a817980f2fb91fc834aca03https://doi.org/10.1038/s41598-026-61905-9
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