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Do 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: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:googlescopusErratum: Alignment-Free Antimicrobial Peptide Predictors: Improving Performance by a Thorough Analysis of the Largest Available Data Set (J. Chem. Inf. Model. (2021) 61:6 (3141−3157) DOI: 10.1021/acs.jcim.1c00251)
OtherAbstract: The conflict of interest declaration should read as follows: “M.K.G. has an equity interest in and iPalabras claves:Autores:Brizuela C.A., César R. García-Jacas, Gilson M.K., Pinacho-Castellanos S.A.Fuentes:scopus