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Predicting 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:googlescopusProtDCal: A program to compute general-purpose-numerical descriptors for sequences and 3D-structures of proteins
ArticleAbstract: Background: The exponential growth of protein structural and sequence databases is enabling multifacPalabras claves:Data Mining, PROTDCAL, Protein descriptors, Protein feature generation, Protein function modellingAutores:Green J.R., Paz W., Ruiz-Blanco Y.B., Yovani Marrero-PonceFuentes:googlescopus