Article

ImmunoStruct: a multimodal neural network framework for immunogenicity prediction from peptide-MHC sequence, structure, and biochemical properties

2024-11-03

Abstract excerpt

Epitope-based vaccines are promising therapeutic modalities for infectious diseases and cancer, but identifying immunogenic epitopes is challenging. The vast majority of prediction methods only use amino acid sequence information, and do not incorporate wide-scale structure data and biochemical properties across each peptide-MHC. We present ImmunoStruct, a deep-learning model that integrates sequence, structural,...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 77fbb09c-b5f2-5dae-a4c9-f57d9d56e8ba
DOI: 10.1101/2024.11.01.621580

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

ImmunoStruct: a multimodal neural network framework for immunogenicity prediction from peptide-MHC sequence, structure, and biochemical propertiesDOI 10.1101/2024.11.01.621580Read

ImmunoStruct: a multimodal neural network framework for immunogenicity prediction from peptide-MHC sequence, structure, and biochemical propertiesSemantic proximity Read

A Multi-Modal Deep Learning Framework with Both Sequence and Structure for Tumor Antigens PredictionSemantic proximity Read

TEIP: A Compact, Open-Source Framework for Predicting Tumor Epitope Immunogenicity in Glioblastoma Cancer Using Deep Learning and Multi-Modal Biological FeaturesSemantic proximity Read

DeepPROTECTNeo: A Deep learning-based Personalized and RV-guided Optimization tool leveraging TCR Epitope interaction using Context-aware TransformersSemantic proximity Read

ImmuneApp for HLA-I epitope prediction and immunopeptidome analysis.Semantic proximity Read

Self-iterative multiple instance learning enables the prediction of CD4 <sup>+</sup> T cell immunogenic epitopesSemantic proximity Read

Computational peptide dissection of Melan-a/MART-1 oncoprotein antigenicitySemantic proximity Read

THLANet: A Deep Learning Framework for Predicting TCR-pHLA Binding in Immunotherapy ApplicationsSemantic proximity Read

DeepImmuno: Deep learning-empowered prediction and generation of immunogenic peptides for T cell immunitySemantic proximity Read

A Computational Pipeline for Glioblastoma Vaccine Development: Integrating Novel Omics-Driven OIP5 Target Discovery to Create a Deep Learning-Based Immunogenicity Framework for Personalized ImmunotherapySemantic proximity Read

Structure modeling and specificity of peptide-MHC class I interactions using geometric deep learningSemantic proximity Read

Epitope-anchored contrastive transfer learning for paired CD8 <sup>+</sup> T cell receptor-antigen recognitionSemantic proximity Read