NeoPeptide

NeoPeptide catalogs T-cell-defined neoantigens arising from somatic mutations and records peptide sequences, mutation sites, and major histocompatibility complex (MHC) restrictions to support neoantigen identification and cancer vaccine research.


Key Features:

  • Comprehensive Data Collection: Aggregates neoantigen attributes including mutation sites, peptide sequences, and MHC restrictions curated from published literature and immunological databases.
  • Resource Integration: Provides links to external resources for further characterization of neoantigen features.
  • Regular Updates: Maintains updated entries reflecting newly identified and published neoantigens.

Scientific Applications:

  • Neoantigen Target Identification: Supports identification of T-cell-defined neoantigen targets across cancer types by consolidating mutation and MHC information.
  • Vaccine Candidate Selection: Facilitates selection and prioritization of neoantigen peptides for cancer vaccine development.
  • Personalized Immunotherapy Research: Links patient-specific somatic mutations to neoantigen features to support personalized medicine and immunotherapeutic strategy development.

Methodology:

Systematic collection and curation of neoantigen data from published literature and immunological databases.

Topics

Details

Tool Type:
command-line tool
Programming Languages:
JavaScript
Added:
1/14/2020
Last Updated:
1/4/2021

Operations

Publications

Zhou W, Qu Z, Song C, Sun Y, Lai A, Luo M, Ying Y, Meng H, Liang Z, He Y, Li Y, Liu J. NeoPeptide: an immunoinformatic database of T-cell-defined neoantigens. Database. 2019;2019. doi:10.1093/database/baz128. PMID:31819989. PMCID:PMC6901387.

PMID: 31819989
PMCID: PMC6901387
Funding: - Shanghai Municipal Science and Technology Major Project: 2017SHZDZX01 - Research Startup Project of Southern Medical University: PY2016N009 - China Postdoctoral Science Foundation: 2016 T90294 - Science and Technology Plan Project of Guangzhou: 201704020216 - National Natural Science Foundation of China: 61602130, 61872115 - National Natural Science Foundation of Guangdong Province: 2017A030310301 - National Key R&D Program of China: 2018YFC1603800, 2018YFC1603802

Links