Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Seq2Neo: A Comprehensive Pipeline for Cancer Neoantigen Immunogenicity Prediction

1 Oct 2022

Abstract excerpt

Neoantigens derived from somatic DNA alterations are ideal cancer-specific targets. In recent years, the combination therapy of PD-1/PD-L1 blockers and neoantigen vaccines has shown clinical efficacy in original PD-1/PD-L1 blocker non-responders. However, not all somatic DNA mutations result in immunogenicity among cancer cells and efficient tools to predict the immunogenicity of neoepitopes are still urgently...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Cancer Immunotherapy and Biomarkers
Share to Immunotherapy and Immune Responses
Share to vaccines and immunoinformatics approaches

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 36232923
DOI: 10.3390/ijms231911624

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Seq2Neo: A Comprehensive Pipeline for Cancer Neoantigen Immunogenicity PredictionPMID 36232923Read ↗

Seq2Neo: a comprehensive pipeline for cancer neoantigen immunogenicity predictionSemantic proximity Read ↗

nextNEOpi: a comprehensive pipeline for computational neoantigen predictionSemantic proximity Read ↗

ScanNeo2: a comprehensive workflow for neoantigen detection and immunogenicity prediction from diverse genomic and transcriptomic alterationsSemantic proximity Read ↗

Applications of Next-Generation Sequencing in Neoantigen Prediction and Cancer Vaccine DevelopmentSemantic proximity Read ↗

Comprehensive analysis of neoantigens derived from structural variation across whole genomes from 2528 tumors.Semantic proximity Read ↗

ImmuneMirror: A machine learning-based integrative pipeline and web server for neoantigen prediction.Semantic proximity Read ↗

neoANT-HILL: an integrated tool for identification of potential neoantigensSemantic proximity Read ↗

NeoPredPipe: High-Throughput Neoantigen Prediction and Recognition Potential PipelineSemantic proximity Read ↗

NeoPredPipe: high-throughput neoantigen prediction and recognition potential pipelineSemantic proximity Read ↗

INAEME: Integral Neoantigen Analysis with Entirety of Mutational EventsSemantic proximity Read ↗

Computational methods and data resources for predicting tumor neoantigensSemantic proximity Read ↗

TSNAdb: A Database for Tumor-Specific Neoantigens from Immunogenomics Data AnalysisSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.