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Pbkp_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:googlescopusThe Hydrolysis Rate of Paraoxonase-1 Q and R Isoenzymes: An In Silico Study Based on In Vitro Data
ArticleAbstract: Human serum paraoxonase-1 (PON1) is an important hydrolase-type enzyme found in numerous tissues. NoPalabras claves:Isoenzymes, Molecular docking, molecular dynamics, molecular modeling, PON1, QM/MM, QSAR, RPON1Autores:Gauld J.W., Gerardo M. Casañola-Martin, Karabulut S., Mansour B., Rasulev B.Fuentes:scopus