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