研究
公开研究方法,支持评测与复现
闭环研发平台建立在经过同行评审的研究方法之上,相关文献均附原始出处。
学术论文
Nature Biotechnology · arXiv · NeurIPS 2024 · mAbs按时间倒序 · 每条均链接至原始出处
2024
- 2024阅读论文 →
AsEP: Benchmarking Deep Learning Methods for Antibody-specific Epitope Prediction.
Liu, C., Denzler, L., Chen, Y., Martin, A., & Paige, B. (2024).
Advances in Neural Information Processing Systems 37 (NeurIPS 2024) — Datasets and Benchmarks Track
Deep Learning · AsEP · Benchmark
- 阅读论文 →
Do antibody CDR loops change conformation upon binding?
Liu, C., Denzler, L. M., Hood, O.E.C., & Martin, A. C. R. (2024).
mAbs
Antibody · CDR · mAbs
学术会议
2024
- 2024查看海报 →
C-169: Advancing Antibody-Specific Epitope Prediction with a Graph-Based Approach
Liu, C. et al. · Intelligent Systems for Molecular Biology (ISMB) 2024 — Montreal, Canada
Graph · Epitope Prediction
- 查看海报 →
AsEP: Benchmarking Deep Learning Methods for Antibody-specific Epitope Prediction
Liu, C. et al. · ICML 2024 Workshop — AI for Science — Vienna, Austria
ICML · Workshop
开放资源与数据集
开放数据
AsEP 基准数据集
经过整理的抗体与抗原复合物数据,用于评估表位预测方法的性能。
下载 →
github · biochunan/AsEP-dataset