研究领域
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生物大分子功能预测、序列设计与优化
人工智能驱动的药物、疫苗设计与发现
论文成果
- · TEPCAM: Prediction of T-cell receptor-epitope binding specificity via interpretable deep learning.Protein Science.2024
- · A transformer-based model to predict peptide-HLA class I binding and optimize mutated peptides for vaccine design.NATURE MACHINE INTELLIGENCE.2022
- · MDDI-SCL: predicting multi-type drug-drug interactions via supervised contrastive learning.Journal of Cheminformatics.2022
- · DTI-CDF: a Cascade Deep Forest Model Towards The Prediction of Drug-Target Interactions Based on Hybrid Features.Briefings in Bioinformatics.2021
专利
- 暂无内容
著作成果
- 暂无内容