Mostrando 3 resultados de: 3
Filtros aplicados
Publisher
Current Computer-Aided Drug Design(1)
Current Topics in Medicinal Chemistry(1)
Environmental Research(1)
Área temáticas
Programación informática, programas, datos, seguridad(2)
Química física(2)
Farmacología y terapéutica(1)
Química orgánica(1)
Salud y seguridad personal(1)
A 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:googlescopusPbkp_rediction of acute toxicity of pesticides for Americamysis bahia using linear and nonlinear QSTR modelling approaches
ArticleAbstract: Globally, pesticides are toxic substances with wide applications. However, the widespread use of pesPalabras claves:Aquatic toxicity, Machine learning, multiple linear regression, Quantitative Structure–Toxicity relationship, random forestAutores:Amilkar Puris, González‐díaz H., Karel Diéguez-Santana, Nachimba-Mayanchi M.M., Roldán Torres GutiérrezFuentes:googlescopus