Key features
Data mining for over 10 years
Utilizing a decade of accumulated expertise to extract meaningful biological insights.
Database with 36,000+ entries
Massive curated entries ensure a reliable foundation for peptide ADMET evaluation.
Covering 29 Key Properties of ADMET
In-depth coverage across Absorption, Distribution, Metabolism, Excretion, and Toxicity.
Supports Cyclic, Linear, Natural and Modified Peptides
Direct input of molecular structures allows it to go beyond a limited range of modification types.
Support for Cell Lines, Organs, and Species
Cross-species predictive modeling ensures wide applicability in biomedical research.
State-of-the-art AI algorithms
Harnessing cutting-edge artificial intelligence to enhance prediction accuracy and speed.
Quick start
LogD
Bioavailability
BBB
Permeability
T1/2
Toxicity
Physicochemical Properties
Please cite
If you find pepADMET helpful for your research, please cite the following publications:
2026
pepADMET: A Novel Computational Platform For Systematic ADMET Evaluation of Peptides.
Tan, X., Liu, Q., Zhou, M., Fang, Y., Ouyang, D., Zeng, W., & Dong, J. Journal of Chemical Information and Modeling. https://doi.org/10.1021/acs.jcim.5c02518.
2024
Introducing enzymatic cleavage features and transfer learning realizes accurate peptide half-life prediction across species and organs.
Tan, X., Liu, Q., Fang, Y., Yang, S., Chen, F., Wang, J., ... Dong J & Zeng, W. (2024). Briefings in Bioinformatics, 25(4), bbae350.
2024
Predicting peptide permeability across diverse barriers: a systematic investigation.
Tan, X., Liu, Q., Fang, Y., Zhu, Y., Chen, F., Zeng, W., ... & Dong, J. Molecular Pharmaceutics, 21(8), 4116-4127.