Accelerating the discovery of anticancer peptides targeting lung and breast cancers with the Wasserstein autoencoder model and PSO algorithm
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DOI: 10.1093/bib/bbac320
Abstract: In the development of targeted drugs, anticancer peptides (ACPs) have attracted great attention because of their high selectivity, low toxicity and minimal non-specificity. In this work, we report a framework of ACPs generation, which combines… read more here.
Keywords: breast; lung; anticancer peptides; wasserstein autoencoder ... See more keywords