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Current Topics in Medicinal Chemistry(2)
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Atom- and bond-based 2D TOMOCOMD-CARDD approach and ligand-based virtual screening for the drug discovery of new tyrosinase inhibitors
ArticleAbstract: Two-dimensional atom- and bond-based TOMOCOMD-CARDD descriptors and linear discriminant analysis (LDPalabras claves:Dicoumarin, LDA-Based QSAR Model, Ligand-based virtual screening, TOMOCOMD-CARDD descriptor, Tyrosinase-inhibitor compoundAutores:Gerardo M. Casañola-Martin, Pérez-Giménez F., Rescigno A., Tareq Hassan Khan M., Torrens F., Yovani Marrero-PonceFuentes:scopusAtom-based 2D quadratic indices in drug discovery of novel tyrosinase inhibitors: Results of in silico studies supported by experimental results
ArticleAbstract: Herein we present results of QSAR studies of tyrosinase inhibitors employing one of the atom-based TPalabras claves:Atom-based quadratic indices, Diterpenoid alkaloid, LDA-Based QSAR Model, Ligand-based virtual screening, ToMoCoMD-CARDD softwareAutores:Alvarado Y.J., Ather A., Gerardo M. Casañola-Martin, Khan M.T.H., Rotondo R., Sultankhodzhaev M.N., Torrens F., Yovani Marrero-PonceFuentes:scopusBond-based 2D TOMOCOMD-CARDD approach for drug discovery: Aiding decision-making in 'in silico' selection of new lead tyrosinase inhibitors
ArticleAbstract: In this paper, we present a new set of bond-level TOMOCOMD-CARDD molecular descriptors (MDs), the boPalabras claves:Biosilico identification, experimental results, LDA-Based QSAR Model, Non-stochasticand stochastic bond-based bilinear indices, TetraKetones, ToMoCoMD-CARDD software, Tyrosinaseinhibitor, Virtual ScreeningAutores:Ather A., GarcíDomenech R., Gerardo M. Casañola-Martin, Khan M.T.H., Rotondo R., Sultankhodzhaev M.N., Torrens F., Yovani Marrero-PonceFuentes:scopusA simple method to pbkp_redict blood-brain barrier permeability of drug-like compounds using classification trees
ArticleAbstract: Background: To know the ability of a compound to penetrate the blood-brain barrier (BBB) is a challePalabras claves:blood-brain barrier, classification tree, molecular descriptor, Neuropharmaceuticals, Quantitative Structure-Activity Relationship, WEKAAutores:Garit J., Gerardo M. Casañola-Martin, Pham-The H., Stephen Jones Barigye, Thu H.L.T.Fuentes: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:scopusExploring different strategies for imbalanced ADME data problem: case study on Caco-2 permeability modeling
ArticleAbstract: In many absorption, distribution, metabolism, and excretion (ADME) modeling problems, imbalanced datPalabras claves:ADME modeling, Biopharmaceutics classification system, Caco-2 cell permeability, Cost-sensitive learning, Resampling technique, Support Vector MachineAutores:Bermejo M., Garrigues T., Gerardo M. Casañola-Martin, González-Álvarez I., Nguyen-Hai N., Pérez M.A.C., Pham-The H., Thu H.L.T.Fuentes:scopusDragon method for finding novel tyrosinase inhibitors: Biosilico identification and experimental in vitro assays
ArticleAbstract: QSAR (quantitative structure-activity relationship) studies of tyrosinase inhibitors employing DragoPalabras claves:Bipiperidine series, dragon descriptor, LDA-Based QSAR Model, Tyrosinase inhibitor, Virtual ScreeningAutores:Ather A., Gerardo M. Casañola-Martin, Khan K., Khan M.T.H., Rotondo R., Torrens F., Yovani Marrero-PonceFuentes:scopusLearning 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:googlescopusLigand-based computer-aided discovery of tyrosinase inhibitors. applications of the TOMOCOMD-CARDD method to the elucidation of new compounds
ArticleAbstract: In this review an overview of the application of computational approaches is given. Specifically, thPalabras claves:Ligand-Based Virtual Screening (LBVS), Quantitative Structure-Activity relationship (QSAR), ToMoCoMD-CARDD, Tyrosinase inhibitorAutores:Abad C., Gerardo M. Casañola-Martin, Khan M.T.H., Rescigno A., Torrens F., Yovani Marrero-PonceFuentes:scopusTyrosinase enzyme: 1. An overview on a pharmacological target
ArticleAbstract: The tyrosinase enzyme (EC 1.14.18.1) is an oxidoreductase inside the general enzyme classification aPalabras claves:Hyperpigmentation, melanin, Molecular mechanism, Structure, TyrosinaseAutores:Abad C., Garit J., Gerardo M. Casañola-Martin, Khan M.T.H., Rescigno A., Thu H.L.T., Torrens F., Yovani Marrero-PonceFuentes:scopus