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Automatic construction of molecular similarity networks for visual graph mining in chemical space of bioactive peptides: an unsupervised learning approach
ArticleAbstract: The increasing interest in bioactive peptides with therapeutic potentials has been reflected in a laPalabras claves:Autores:Aguilera-Mendoza L., Beltran J.A., Brizuela C.A., César R. García-Jacas, Chavez E., Guillen-Ramirez H.A., Yovani Marrero-PonceFuentes:scopusGraph-based data integration from bioactive peptide databases of pharmaceutical interest: Toward an organized collection enabling visual network analysis
ArticleAbstract: Bioactive peptides have gained great attention in the academy and pharmaceutical industry since theyPalabras claves:Autores:Aguilera-Mendoza L., Beltran J.A., Brizuela C.A., Guillen-Ramirez H.A., Tellez-Ibarra R., Yovani Marrero-PonceFuentes:googlescopusDo deep learning models make a difference in the identification of antimicrobial peptides?
ArticleAbstract: In the last few decades, antimicrobial peptides (AMPs) have been explored as an alternative to classPalabras claves:Autores:Brizuela C.A., César R. García-Jacas, García-González L.A., Pinacho-Castellanos S.A.Fuentes:scopus