Evidence map›Paper›PMID 41888661›Full record

ArticleBMC immunology2026

In silico design and immunoinformatics evaluation of a multi-epitope vaccine targeting SEPT9 for gastrointestinal adenocarcinomas.

Harsh Kashyap, Bhawna Rathi, Harkirat Singh, Navkiran Kaur, Shivani Sharda, Amarish Kumar Sharma

Abstract read
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Article in BMC immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Harsh KashyapAmity Institute of Biotechnology, Amity University, Uttar Pradesh, Noida, 201313, India.ORCID 0009-0008-7952-3125
Bhawna RathiAmity Institute of Biotechnology, Amity University, Uttar Pradesh, Noida, 201313, India. brathi@amity.edu.ORCID 0000-0002-4341-6108
Harkirat SinghAmity Institute of Biotechnology, Amity University, Uttar Pradesh, Noida, 201313, India.ORCID 0009-0005-2365-4642
Navkiran KaurAmity Institute of Biotechnology, Amity University, Uttar Pradesh, Noida, 201313, India.ORCID 0000-0003-2522-7044
Shivani ShardaAmity Institute of Biotechnology, Amity University, Uttar Pradesh, Noida, 201313, India.ORCID 0000-0002-8838-0823
Amarish Kumar SharmaDepartment of Biotechnology, Parul Institute of Technology, Parul University, Vadodara, Gujarat, 391760, India. amarish.sharma41028@paruluniversity.ac.in.ORCID 0000-0002-8887-9296

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGastrointestinal adenocarcinomas are a major cause of mortality globally, underpinning the desire for new approaches to immunotherapeutic strategies. SEPT9 is clinically validated as an FDA-approved colorectal cancer biomarker, suggesting its potential as a candidate antigen for vaccine development.

methodsAn immunoinformatic pipeline created a multi-epitope chimera vaccination using strict standards of high antigenicity, non-allergenicity, non-toxicity, and worldwide population coverage. Five epitopes (three MHC-I and two MHC-II) were ranked from SEPT9. Selected epitopes were concatenated with suitable linkers for MHC-I and MHC-II, connected to a human β-defensin adjuvant. The construct composed of 134 amino acids was built using the trRosetta algorithm, refined using the GalaxyRefine2.0 algorithm, and validate via PROCHECK, ERRAT and ProSA. Immune response prediction was conducted by performing docking studies against TLR2 and TLR4 (via ClusPro software), and performing C-ImmSim immune simulations.

resultsThe designed construct demonstrated predicted favorable physicochemical properties (solubility: 0.89), safety, and immunogenicity potential in silico. Docking ΔG values (TLR2: –17.7 kcal/mol; TLR4: –23.9 kcal/mol) and immune simulation data indicated theoretical potential to trigger innate and adaptive immunity.

conclusionThe SEPT9-based multi-epitope vaccine construct demonstrated promising predicted immunogenic and structural properties in silico. However, these findings are computational and hypothesis-generating; experimental validation is required to assess immunogenicity, safety, and therapeutic efficacy in biological systems.

Indexed as

AdenocarcinomaCancer VaccinesEpitopesSeptinsComputer SimulationEpitopes, B-LymphocyteEpitopes, T-LymphocyteHumansImmunoinformaticsMolecular Docking SimulationProtein Subunit VaccinesToll-Like Receptor 2Toll-Like Receptor 4Vaccine DevelopmentCancer VaccinesEpitopesEpitopes, B-LymphocyteEpitopes, T-LymphocyteProtein Subunit VaccinesSEPTIN9 protein, humanSeptinsTLR2 protein, humanTLR4 protein, humanToll-Like Receptor 2Toll-Like Receptor 4Gastrointestinal cancerimmune simulationimmunoinformaticsmulti-epitope vaccineSEPT9TLR docking

Identifiers

PMID41888661
PMCPMC13147572

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.