Research
Published. Benchmarked. Reproducible.
Peer-reviewed methods that underpin the closed-loop platform. Each citation links to its original source.
Methods we publish.
AsEP — Antibody-specific Epitope Prediction
Graph-based deep learning benchmarked against published baselines (ICML 2024 Workshop).
Read paper →CDR Loop Conformational Analysis
Structural-bioinformatics analysis of antibody CDR loops upon antigen binding (mAbs 2024).
Read paper →Knowledge-Based Retrieval
The curated complex database powering platform queries.
Explore →
Publications
Nature Biotechnology · arXiv · NeurIPS 2024 · mAbsNewest first · each entry links to its source
2024
- 2024Read paper →
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
- Read paper →
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
Conferences
2024
- 2024View poster →
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
- View poster →
AsEP: Benchmarking Deep Learning Methods for Antibody-specific Epitope Prediction
Liu, C. et al. · ICML 2024 Workshop — AI for Science — Vienna, Austria
ICML · Workshop
Open assets & datasets
Open data
AsEP Benchmark Dataset
Curated antibody-antigen complexes used to benchmark epitope-prediction methods.
github · biochunan/AsEP-dataset