Research
Published. Benchmarked. Reproducible.
Peer-reviewed methods that underpin the closed-loop platform. Each citation links to its original source.
Methods
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
- 2024-02-20
Do antibody CDR loops change conformation upon binding?
Liu, C., Denzler, L. M., Hood, O.E.C., & Martin, A. C. R. (2024).
mAbs
AntibodyCDRmAbsRead paper → - Pre-print2024-07-25
AsEP: Benchmarking Deep Learning Methods for Antibody-specific Epitope Prediction.
Liu, C., Denzler, L., Chen, Y., Martin, A., & Paige, B. (2024).
arXiv (ICML 2024 Workshop — AI for Science)
Deep LearningAsEPBenchmarkRead paper →
Conferences
- 2023
B109: Antigen-Specific Antibody Design: Preliminary Progress
Presented by ChuNan L., University College London
Protein & Antibody Engineering Summit (PEGs) 2023 — Lisbon, Portugal
Antigen-SpecificPEGsView poster → - 2024
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
GraphEpitope PredictionView poster → - 2024
AsEP: Benchmarking Deep Learning Methods for Antibody-specific Epitope Prediction
Liu, C. et al.
ICML 2024 Workshop — AI for Science — Vienna, Austria
ICMLWorkshopView poster →
Competitions
Selected results from open AI / antibody-design competitions.
- Global Top 3
IQVIA International Antibody Design Competition