PepMNet: a hybrid deep learning model for predicting peptide properties using hierarchical graph representations
Peptides are a powerful class of molecules that can be applied to a range of problems including biomaterials development and drug design.
Authors
- Camille Bilodeau (ORCID: https://orcid.org/0000-0002-8358-5280)
- Omid Ali Akbari
- Daniel Garzon
Institutions
- University of Virginia (US)
Publication Details
- Journal
- Molecular Systems Design & Engineering
- Published
- 2024-12-11
- DOI
- https://doi.org/10.1039/d4me00172a
- Citations
- 9
- Primary Topic
- Chemical Synthesis and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 2.10