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Novel “extended sequons” of human N-glycosylation sites improve the precision of qualitative pbkp_redictions: an alignment-free study of pattern recognition using ProtDCal protein features
ArticleAbstract: N-Glycosylation is a common post-translational modification that plays an important role in the propPalabras claves:Glycosylation motif, post-translational modification, Protein descriptor, PTMAutores:García-Hernández E., Green J.R., Ruiz-Blanco Y.B., Yovani Marrero-PonceFuentes:googlescopusMachine Learning Study of Metabolic Networks vs ChEMBL Data of Antibacterial Compounds
ArticleAbstract: Antibacterial drugs (AD) change the metabolic status of bacteria, contributing to bacterial death. HPalabras claves:antibacterial compounds, CHEMBL, complex networks, Information Fusion, Machine learning, multidrug-resistant, perturbation theoryAutores:Gerardo M. Casañola-Martin, González‐díaz H., Green J.R., Karel Diéguez-Santana, Rasulev B., Roldán Torres GutiérrezFuentes:googlescopusPbkp_redicting metabolic reaction networks with Perturbation-Theory Machine Learning (PTML) models
ArticleAbstract: Background: Checking the connectivity (structure) of complex Metabolic Reaction Networks (MRNs) modePalabras claves:Combinatorial perturbation theory models, complex networks, Linear invariants, Machine learning, Markov chains, Metabolic pathwaysAutores:Gerardo M. Casañola-Martin, González‐díaz H., Green J.R., Karel Diéguez-Santana, Rasulev B.Fuentes:googlescopus