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A QSTR-based expert system to predict sweetness of molecules
ArticleAbstract: This work describes a novel approach based on advanced molecular similarity to predict the sweetnessPalabras claves:classification, Expert System, Molecular descriptors, QSAR, SweetnessAutores:Ballabio D., Consonni V., Cristian Rojas Villa, Grisoni F., Mauri A., Piercosimo Tripaldi, Rojas C., Todeschini R.Fuentes:googlescopusA retention index-based QSPR model for the quality control of rice
ArticleAbstract: The purpose of work presented here was to calibrate and validate a mathematical model based on a quaPalabras claves:contaminants, Dragon descriptors, Rice, Volatile organic compoundsAutores:Andres PEREZ-GONZALEZ, Cristian Rojas Villa, Pablo R. Duchowicz, Piercosimo Tripaldi, Pis Diez R., Rojas C.Fuentes:googlescopusChemoinformatic modelling of the antioxidant activity of phenolic compounds
ArticleAbstract: BACKGROUND: Antioxidants are chemicals used to protect foods from deterioration by neutralizing freePalabras claves:Antioxidant activity, Molecular descriptors, OECD, PHENOLIC COMPOUNDS, QSAR, TeacAutores:Cristian Rojas Villa, Fissore E.N., Idrovo-Encalada A.M., Piercosimo Tripaldi, Pis Diez R., Rojas A.M., Rojas C.Fuentes:googlescopusClassification-based QSAR models for the prediction of the bioactivity of ACE-inhibitor peptides
ArticleAbstract: Background: Local classification models were used to establish Quantitative Struc-ture−Activity RelaPalabras claves:ACE, Bioactive peptides, Dragon descriptors, Knn, N3, QSARAutores:Andres PEREZ-GONZALEZ, Ballabio D., Johann Radax, Piercosimo Tripaldi, Rojas C., Todeschini R.Fuentes:scopusApplications of quantitative structure-relative sweetness relationships in food chemistry
Book PartAbstract: This chapter reviews multicriteria quantitative structure-relative sweetness relationships (QSRSR) aPalabras claves:Molecular descriptors, QSAR/QSPR Theory, Relative sweetness, sucrose, SweetenersAutores:Cristian Rojas Villa, Pablo R. Duchowicz, Piercosimo Tripaldi, Pis Diez R., Rojas C.Fuentes:googlescopusEstudio de la actividad inhibidora de acetilcolinesterasa de derivados de la Huperzia mediante técnicas QSAR y clasificación KNN
ArticleAbstract: El Alzheimer (AD) es un tipo de demencia que en la última época ha saltado a los medios de comunicPalabras claves:ALZHÉIMER, ENFERMEDAD NEURODEGENERATIVA, Huperzia, MedicamentosAutores:Piercosimo Tripaldi, Silvia González, Silvia González Pérez, Vanessa JiménezFuentes:rraaeFoodinformatic prediction of the retention time of pesticide residues detected in fruits and vegetables using UHPLC/ESI Q-Orbitrap
ArticleAbstract: The present work describes the development of an in silico model to predict the retention time (tR)Palabras claves:Consensus analysis, Foodinformatics, Fruits and vegetables, Pesticide residues, QSPRAutores:Aranda J.F., Castro E.A., Cristian Rojas Villa, Elisa Pacheco Jaramillo, Losilla I., Pablo R. Duchowicz, Piercosimo Tripaldi, Rojas C.Fuentes:googlescopusEvolutionary strategies of object-sign
ArticleAbstract: The present study examines the relationship between design and culture. The article focuses on discoPalabras claves:design, EVOLUTION, meme, semiotics, signAutores:Anna M. Tripaldi-Proaño, Anna María Tripaldi Proaño, Daniel Arevalo-Peña, Piercosimo Tripaldi, Toa D. Tripaldi-ProañoFuentes:googlescopusQSPR analysis for the retention index of flavors and fragrances on a OV-101 column
ArticleAbstract: A predictive quantitative structure-property relationships (QSPR) is developed for modeling the retePalabras claves:Dart, Dragon software, Replacement method, Flavors and fragrances, K-Means cluster analysis, Total-order ranking, OV-101 column, QSPR TheoryAutores:Cristian Rojas Villa, Pablo R. Duchowicz, Piercosimo Tripaldi, Pis Diez R., Rojas C.Fuentes:googlescopusQuantitative structure-property relationship analysis for the retention index of fragrance-like compounds on a polar stationary phase
ArticleAbstract: A quantitative structure-property relationship (QSPR) was developed for modeling the retention indexPalabras claves:Carbowax 20M column, Dragon software, Fragrance, K-Means cluster analysis, QSPR Theory, Replacement methodAutores:Pablo R. Duchowicz, Piercosimo Tripaldi, Pis Diez R., Rojas C.Fuentes:scopus