Published December 9, 2022
| Version v1.2.0
Dataset
Open
Data for HydrAMP - a deep generative model for antimicrobial peptide discovery
Creators
- 1. Faculty of Mathematics, Informatics and Mechanics, University of Warsaw
- 2. Department of Inorganic Chemistry, Faculty of Pharmacy, Medical University of Gda ́nsk
- 3. The Centre of New Technologies, University of Warsaw
Description
- data- training data for peptides < 25 AA (16.8 MB)
- models - checkpoints of HydrAMP, PepCVAE, and Basic models for every training epoch (466 MB)
- results - dumped generation results for every model. Required for running comparison notebooks (832 MB)
- wheels - custom TensorFlow packages (1 GB)