Mostrando 10 resultados de: 13
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Publisher
Letters in Drug Design and Discovery(2)
SAR and QSAR in Environmental Research(2)
Afinidad(1)
Chemical Biology and Drug Design(1)
Chemometrics and Intelligent Laboratory Systems(1)
Área temáticas
Farmacología y terapéutica(6)
Programación informática, programas, datos, seguridad(5)
Química analítica(3)
Química física(3)
Bioquímica(2)
Comparative study to pbkp_redict toxic modes of action of phenols from molecular structures
ArticleAbstract: Quantitative structure-activity relationship models for the pbkp_rediction of mode of toxic action (Palabras claves:Atom-based quadratic indices, Machine learning technique, mode of toxic action, phenol derivative, quantitative structure-toxicity relationshipAutores:Brito-Sánchez Y., Garit J., González-Madariaga Y., Rodríguez-Borges J.E., Thu H.L.T., Torrens F., Yovani Marrero-PonceFuentes:googlescopusAtom based linear index descriptors in QSAR-machine learning classifiers for the pbkp_rediction of ubiquitin-proteasome pathway activity
ArticleAbstract: Abstract: This report showed the use of the atom-based linear index together with different classicPalabras claves:Atom-based linear indices, Machine learning, QSAR, ToMoCoMD-CARDD software, Ubiquitin-proteasome pathway inhibitorsAutores:Garit J., Gerardo M. Casañola-Martin, Pham-The H., Thu H.L.T.Fuentes:scopusBeyond 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:scopusAnalysis of proteasome inhibition pbkp_rediction using atom-based quadratic indices enhanced by machine learning classification techniques
ArticleAbstract: In this work the use of 2D atom-based quadratic indices is shown in the pbkp_rediction of proteasomePalabras claves:Atom-based quadratic index, Classification and regression model, Machine learning, Proteasome inhibition, QSAR, ToMoCoMD-CARDD softwareAutores:Abad C., Garit J., Gerardo M. Casañola-Martin, Pérez-Giménez F., Thu H.L.T., Torrens F., Yovani Marrero-PonceFuentes:scopusA rational workflow for sequential virtual screening of chemical libraries on searching for new tyrosinase inhibitors
ArticleAbstract: The tyrosinase is a bifunctional, copper-containing enzyme widely distributed in the phylogenetic trPalabras claves:Drug-likeness filtering, Molecular docking, QSAR modeling, Similarity searching, Tyrosinase inhibitor, Virtual ScreeningAutores:Abad C., Gerardo M. Casañola-Martin, Khan M.T.H., Rescigno A., Thu H.L.T., 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:scopusMulti-output model with box-jenkins operators of quadratic indices for pbkp_rediction of malaria and cancer inhibitors targeting ubiquitin-proteasome pathway (UPP) proteins
ArticleAbstract: The ubiquitin-proteasome pathway (UPP) is the primary degradation system of short-lived regulatory pPalabras claves:Atom-based quadratic indices, Cáncer, CHEMBL, MALARIA, Moving average, Multi-scale and multi-output model, multi-target, QSAR, UPP inhibitorAutores:Abad C., Gerardo M. Casañola-Martin, González‐díaz H., Merino-Sanjuán M., Pérez-Giménez F., Thu H.L.T., Yovani Marrero-PonceFuentes:scopusNovel coumarin-based tyrosinase inhibitors discovered by OECD principles-validated QSAR approach from an enlarged, balanced database
ArticleAbstract: The present work is devoted to the development and application of a multi-agent Quantitative StructuPalabras claves:Atom-based bilinear index, coumarin, In silico identification, In vitro corroboration, linear discriminant analysis, OECD principle, QSAR model, ToMoCoMD-CARDD software, Tyrosinase inhibitorAutores:Abad C., Gerardo M. Casañola-Martin, Parmar V.S., Rescigno A., Saso L., Thu H.L.T., Torrens F., Yovani Marrero-PonceFuentes:scopusTyrosinase enzyme: 2. Inhibitors from natural and synthetic origins
ArticleAbstract: In this work there are tackled in a general way the tyrosinase inhibitor compounds, the limiting enzPalabras claves:drugs, Natural products, Synthetic compounds, Tyrosinase inhibitorsAutores:Abad C., Gerardo M. Casañola-Martin, Khan M.T.H., Rescigno A., Thu H.L.T., Torrens F., Yovani Marrero-PonceFuentes:scopusQSAR models for tyrosinase inhibitory activity description applying modern statistical classification techniques: A comparative study
ArticleAbstract: Cluster analysis (CA), Linear and Quadratic Discriminant Analysis (L(Q)DA), Binary Logistic RegressiPalabras claves:Atom-based quadratic indices, Modern statistical methods, Multiple Comparison Procedures, ROC curve, ToMoCoMD-CARDD software, Tyrosinase inhibitorAutores:Abad C., Amilkar Puris, Cardoso G.C., Gerardo M. Casañola-Martin, Rescigno A., Thu H.L.T., Torrens F., Yovani Marrero-PonceFuentes:scopus