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Main Author: Pham, Thi Loc
Format: Recurso digital
Language:English
Published: Zenodo 2026
Online Access:https://doi.org/10.5281/zenodo.19678895
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author Pham, Thi Loc
author_facet Pham, Thi Loc
contents <p>Large-scale somatic mutation data from COSMIC v97, GenomePaint (St. Jude Cloud), and TARGET/TCGA (N = 1,392 T-ALL samples) were integrated to identify high-frequency hotspot mutations at exons 26–27. Five MHC class I neoepitopes were predicted and stringently filtered using NetMHCpan-4.1, HLAthena, and NetMHCstabpan against a Vietnamese-prevalent HLA allele panel. A multicomponent vaccine construct was assembled incorporating the molecular adjuvant CTB, two universal T-helper epitopes (P2/P30), three MHC class II helper epitopes from NOTCH1 and RHEB, one linear B-cell epitope from NOTCH1, and a clinically validated modified WT1 epitope (CYTWNQMNL). The construct underwent comprehensive evaluation of physicochemical and immunological properties, 3D structure prediction (AlphaFold2/RoseTTAFold2), molecular docking (AutoDock Vina, PatchDock/FireDock), immune simulation (C-ImmSim), and codon optimization (JCat).</p>
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publishDate 2026
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record_format zenodo
spellingShingle PERSONALIZED MULTI-EPITOPE PEPTIDE VACCINE DESIGN TARGETING NOTCH1 MUTATIONS IN T-CELL ACUTE LYMPHOBLASTIC LEUKEMIA (T-ALL): A COMPREHENSIVE IMMUNOINFORMATICS ANALYSIS
Pham, Thi Loc
<p>Large-scale somatic mutation data from COSMIC v97, GenomePaint (St. Jude Cloud), and TARGET/TCGA (N = 1,392 T-ALL samples) were integrated to identify high-frequency hotspot mutations at exons 26–27. Five MHC class I neoepitopes were predicted and stringently filtered using NetMHCpan-4.1, HLAthena, and NetMHCstabpan against a Vietnamese-prevalent HLA allele panel. A multicomponent vaccine construct was assembled incorporating the molecular adjuvant CTB, two universal T-helper epitopes (P2/P30), three MHC class II helper epitopes from NOTCH1 and RHEB, one linear B-cell epitope from NOTCH1, and a clinically validated modified WT1 epitope (CYTWNQMNL). The construct underwent comprehensive evaluation of physicochemical and immunological properties, 3D structure prediction (AlphaFold2/RoseTTAFold2), molecular docking (AutoDock Vina, PatchDock/FireDock), immune simulation (C-ImmSim), and codon optimization (JCat).</p>
title PERSONALIZED MULTI-EPITOPE PEPTIDE VACCINE DESIGN TARGETING NOTCH1 MUTATIONS IN T-CELL ACUTE LYMPHOBLASTIC LEUKEMIA (T-ALL): A COMPREHENSIVE IMMUNOINFORMATICS ANALYSIS
url https://doi.org/10.5281/zenodo.19678895