Article

In silico Antibody-Peptide Epitope prediction for Personalized cancer therapy

2023-01-23

Abstract excerpt

<h4>ABSTRACT</h4> The human leukocyte antigen (HLA) system is a complex of genes on chromosome 6 in humans that encodes cell-surface proteins responsible for regulating the immune system. Viral peptides presented to cancer cell surfaces by the HLA trigger the immune system to kill the cells, creating Antibody-peptide epitopes (APE). This study proposes an in-silico approach to identify patient-specific APEs by ap...

Topics

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

Identifiers and source

Literature Corpus work: 0a5f0c53-3385-5b1a-85c5-eef9e6b2f618
DOI: 10.1101/2023.01.23.525181

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

In silico Antibody-Peptide Epitope prediction for Personalized cancer therapyDOI 10.1101/2023.01.23.525181Read

DeepNeoAGNet: Enhancing Cancer Immunotherapy with General Heterogeneous Sequence Learning for Precise Neoantigen Prediction and Immunogenicity AssessmentSemantic proximity Read

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

A Deep Learning Approach for NeoAG-Specific Prediction Considering Both HLA-Peptide Binding and Immunogenicity: Finding Neoantigens to Making T-Cell Products More PersonalSemantic proximity Read

Identifying T cell antigen at the atomic level with graph convolutional networkSemantic proximity Read

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

AI-MHC: an allele-integrated deep learning framework for improving Class I & Class II HLA-binding predictionsSemantic proximity Read

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

Neural Network Models for Sequence-Based TCR and HLA Association PredictionSemantic proximity Read

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

HLAIIPred: Cross-Attention Mechanism for Modeling the Interaction of HLA Class II Molecules with PeptidesSemantic proximity Read

A robust deep learning platform to predict CD8+ T-cell epitopesSemantic proximity Read

Deep learning enables direct HLA typing from immunopeptidomics dataSemantic proximity Read