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Comparison of novelproximity models in Chemoinformatics
ArticleAbstract: This work comprises the computational implementation in the Java environment of 21 proximity modelsPalabras claves:Machine-learning descriptor selection, Medicinal chemistry data set, Proximity model, Similarity searchingAutores:Del Corazón Grau Ábalo R., Díaz Y.H., García-De La Vega J.M., Rivera-Borroto O.M., Yovani Marrero-PonceFuentes:scopusA two QSAR way for antidiabetic agents targeting using α-amylase and α-glucosidase inhibitors: Model parameters settings in artificial intelligence techniques
ArticleAbstract: This work showed the use of 0-2D Dragon molecular descriptors in the pbkp_rediction of α-amylase andPalabras claves:classification model, dragon descriptor, Machine learning, QSAR., α-amylase, α-GlucosidaseAutores:Amilkar Puris, Gerardo M. Casañola-Martin, Hai P.T., Karel Diéguez-Santana, Rivera-Borroto O.M., Thu H.L.T.Fuentes:scopusN-linear algebraic maps for chemical structure codification: A suitable generalization for atom-pair approaches?
ArticleAbstract: The present manuscript introduces, for the first time, a novel 3D-QSAR alignment free method (QuBiLSPalabras claves:3D Three-linear and four-linear indices, aggregation operator, Cramer's steroid, N-tuple simple stochastic and mutual probability matrices, N-tuple spatial-(Dis)similarity matrix, Principal Component Analysis, QSAR, QuBiLS-MIDAS N-tuples, Shannon entropy, ToMoCoMD-CARDD, Variability analysisAutores:César R. García-Jacas, Olivero-Verbel J., Rivera-Borroto O.M., Stephen Jones Barigye, Valdés-Martiní J.R., Yovani Marrero-PonceFuentes:scopus