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Beyond model interpretability using LDA and decision trees for α-amylase and α-glucosidase inhibitor classification studies
ArticleAbstract: In this report are used two data sets involving the main antidiabetic enzyme targets α-amylase and αPalabras claves:antidiabetic agents, Decision Trees, linear discriminant analysis, QSARAutores:Amilkar Puris, Gerardo M. Casañola-Martin, Karel Diéguez-Santana, Pham-The H., Rasulev B., Rivera-Borroto O.M., Thu H.L.T.Fuentes:scopusA Fuzzy System Classification Approach for QSAR Modeling of αAmylase and α-Glucosidase Inhibitors
ArticleAbstract: Introduction: This report proposes the application of a new Machine Learning algorithm called FuzzyPalabras claves:Anti-diabetic agents, FURIA-C, induction rule, Lda, machine-learning techniques, QSARAutores:Amilkar Puris, Gerardo M. Casañola-Martin, González‐díaz H., Karel Diéguez-Santana, Rasulev B., Rivera-Borroto O.M.Fuentes:googlescopusLearning from multiple classifier systems: Perspectives for improving decision making of QSAR models in medicinal chemistry
ReviewAbstract: Quantitative Structure - Activity Relationship (QSAR) modeling has been widely used in medicinal chePalabras claves:Artificial Neural Network, Ensemble design, Histone deacetylase, Histone deacetylase (HDAC) inhibitors, Multiple classifier system, Quantitative structure –activity relationships (QSAR)Autores:Garit J., Gerardo M. Casañola-Martin, Hai D.T., Karel Diéguez-Santana, Nam N.H., Nga D.V., Pham-The H., Thu H.L.T., Yovani Marrero-PonceFuentes:googlescopusTowards machine learning discovery of dual antibacterial drug-nanoparticle systems
ArticleAbstract: Artificial Intelligence/Machine Learning (AI/ML) algorithms may speed up the design of DADNP systemsPalabras claves:Autores:González‐díaz H., Karel Diéguez-SantanaFuentes:googlescopusQuantitative structure–activity relationship analysis and virtual screening studies for identifying HDAC2 inhibitors from known HDAC bioactive chemical libraries
ArticleAbstract: Histone deacetylases (HDAC) are emerging as promising targets in cancer, neuronal diseases and immunPalabras claves:chemoinformatics, Histone deacetylase inhibitor, Machine learning, quantitative structure–activity relationship, Virtual ScreeningAutores:Gerardo M. Casañola-Martin, Karel Diéguez-Santana, Ngoc N.T., Nguyen-Hai N., Pham-The H., Thu H.L.T., Vu-Duc L.Fuentes:googlescopus