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Alignment-Free Antimicrobial Peptide Pbkp_redictors: Improving Performance by a Thorough Analysis of the Largest Available Data Set
ArticleAbstract: In the last two decades, a large number of machine-learning-based pbkp_redictors for the activitiesPalabras claves:Autores:Brizuela C.A., César R. García-Jacas, Gilson M.K., Pinacho-Castellanos S.A.Fuentes:scopusErratum: Alignment-Free Antimicrobial Peptide Pbkp_redictors: 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:scopusHandcrafted versus non-handcrafted (self-supervised) features for the classification of antimicrobial peptides: Complementary or redundant?
ArticleAbstract: Antimicrobial peptides (AMPs) have received a great deal of attention given their potential to becomPalabras claves:Antimicrobial peptides, deep learning, Explainable artificial intelligence, handcrafted features, Non-handcrafted features, self-supervision, shallow learningAutores:Brizuela C.A., César R. García-Jacas, García-González L.A., Martinez-Rios F.O., Tapia-Contreras I.P.Fuentes:scopus