Dataset Open Access

Data for HydrAMP - a deep generative model for antimicrobial peptide discovery

Szymczak, Paulina; Marcin, Możejko; Grzegorzek, Tomasz; Jurczak, Radosław; Bauer, Marta; Neubauer, Damian; Sikora, Karol; Michalski, Michał; Sroka, Jacek; Setny, Piotr; Kamysz, Wojciech; Szczurek, Ewa

  • 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)

 

Files (1.8 GB)
Name Size
data.zip
md5:5168e9260c27df1d50a76eb5ecab7aef 		10.7 MB Download
models.zip
md5:31ffa0b335ad63b8d863129f698bdc2f 		437.5 MB Download
results.zip
md5:d32184681f058d4173f0cbb689b35718 		378.3 MB Download
wheels.zip
md5:72f7914d52f2ef9525b4b15baefdc53b 		963.0 MB Download
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Publication date:
December 9, 2022
DOI:
10.5281/zenodo.7420278

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Version v1.2.0 10.5281/zenodo.7420278 Dec 9, 2022
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