CVAE training data and generated peptide/enzyme candidates for AMP, CPP and cellulase design
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Training datasets and model-generated candidates for two conditional variational autoencoder (CVAE) models: (1) a cellulase-generating model trained on [n=3,844] experimentally validated cellulase sequences, and (2) a hybrid AMP-CPP generating model trained on [n=1,655] antimicrobial peptides and [n=709] cell-penetrating peptides. Companion dataset to "Big data analytics using contemporary algorithms and data warehousing", Chapter 5.
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Zenodo创建时间：
2026-06-08
