cancertope
cancertope identifies cancer-specific epitopes and neoepitopes from cancer genomes to support personalized cancer immunotherapy and vaccine design.
Key Features:
- Cancer-specific neoepitope database: Contains neoepitopes derived from the genomes of 905 cancer cell lines.
- Epitope types: Includes B-cell, CD8+ T-cell, HLA class I, and HLA class II epitopes.
- Vaccine antigen coverage: Covers 60 cancer-specific vaccine antigens.
- Partially personalized prediction: Predicts potential neoepitopes from a user-supplied cancer genome.
- Customizable analysis: Allows tailoring of predictions to specific aspects of a cancer genome.
- Fully personalized identification: Identifies neoepitopes from both cancerous and healthy cells of a specific patient through comparative analysis.
- Epitope screening: Screens epitopes against the human reference proteome.
Scientific Applications:
- Personalized immunotherapy and vaccine design: Identification of neoepitopes to inform development of patient-tailored cancer vaccines and immunotherapies.
- Neoantigen discovery from cell lines: Use of the 905 cancer cell line-derived neoepitope database to discover candidate neoantigens.
- Patient-specific neoantigen identification: Detection of patient-unique neoepitopes by comparing tumor and normal genomes.
- Vaccine antigen selection: Prioritization of cancer-specific vaccine antigens from the curated set of 60 antigens.
- Epitope target validation: Screening against the human reference proteome to identify relevant targets.
Methodology:
Derives neoepitopes from cancer cell line genomes (905 cell lines), predicts neoepitopes from user-supplied cancer genomes, identifies patient-specific neoepitopes by comparing cancerous and healthy genomes, and screens epitopes against the human reference proteome.
Topics
Details
- Tool Type:
- web application
- Operating Systems:
- Mac, Linux, Windows
- Added:
- 9/30/2022
- Last Updated:
- 9/30/2022
Operations
Publications
Gupta S, Chaudhary K, Dhanda SK, Kumar R, Kumar S, Sehgal M, Nagpal G, Raghava GPS. A Platform for Designing Genome-Based Personalized Immunotherapy or Vaccine against Cancer. PLOS ONE. 2016;11(11):e0166372. doi:10.1371/journal.pone.0166372. PMID:27832200. PMCID:PMC5104390.
Funding: - Council of Scientific and Industrial Research: BSC0121
- Science and Engineering Research Board: PDF/2016/000351
Documentation
Links
Software catalogue
https://webs.iiitd.edu.in/raghava/cancertope/index.php