Pluto
Pluto predicts MHC-I epitope presentation using transfer learning to improve neoantigen identification for tumor immunotherapy.
Key Features:
- Transfer Learning Approach: Pre-training on mixed allele-specific epitope datasets followed by refinement on allele-specific epitopes to overcome limited mass spectrometry (MS) training data.
- Performance Metrics: Achieves an average 0.1% positive predictive value (PPV) of 0.4255 on external HLA eluted ligand datasets, compared with MixMHCpred (0.3369), NetMHCpan4.0-EL (0.4000), NetMHCpan4.0-BA (0.3188), and MHCflurry (0.3002).
- Comparative Advantage: Surpasses models without pretraining on the same validation datasets, with a 0.1% PPV improvement of 0.0431 over non-pretrained models (0.3824).
- Neoantigen Identification: Provides expanded immunogenicity predictions for identifying neoantigens relevant to personalized cancer vaccines and T cell-targeted therapies.
Scientific Applications:
- Neoantigen discovery: Identification and prioritization of tumor-specific neoantigens for personalized cancer vaccine development.
- T cell epitope selection: Selection of MHC-I-presented epitopes for development of T cell-targeted tumor immunotherapies.
Methodology:
Pre-training on mixed allele-specific epitope datasets followed by refinement using allele-specific epitopes via transfer learning to mitigate limited mass spectrometry (MS) training data.
Topics
Details
- Programming Languages:
- Python
- Added:
- 1/14/2020
- Last Updated:
- 1/17/2021
Operations
Publications
<!DOCTYPE html> <html> <head> <link rel="stylesheet" href="/Content/css/handleResult.css"> </head> <body> <div class="feedbackresult"> <div class="fbHd">多重解析地址选择页面</div> <div class="fbBd"> <table> <tr><td><label>题名：</label>基于迁移学习的MHC-I型抗原表位呈递预测</td></tr> <tr><td><label>作者：</label>胡伟澎;李佑平;张秀清;</td></tr> <tr><td><label>来源：</label></td></tr> <tr><td><label>出版机构：</label>同方知网（北京）技术有限公司</td></tr> <tr><td><label>出版年:</label></td></tr> <tr><td><label>DOI码：</label>10.16288/j.yczz.19-155</td></tr> <tr><td><label>注册时间：</label>2019-11-08 13:28:12</td></tr> <tr><td><hr /></td></tr> <tr><td> <i class="iconSucc"></i><label>以下是您获得的URL地址：</label> <ul> <li><a href="https://link.cnki.net/doi/10.16288/j.yczz.19-155">https://link.cnki.net/doi/10.16288/j.yczz.19-155</a>(境内)</li> <li><a href="https://link.oversea.cnki.net/doi/10.16288/j.yczz.19-155">https://link.oversea.cnki.net/doi/10.16288/j.yczz.19-155</a>(境外)</li> </ul> </td></tr> </table> </div> </div> </body> </html>