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A novel approach to predict aquatic toxicity from molecular structure
ArticleAbstract: The main aim of the study was to develop quantitative structure-activity relationship (QSAR) modelsPalabras claves:Atom-based non-stochastic and stochastic linear index, multiple linear regression, Program TOMOCOMD-CARDD, QSAR, Tetrahymena pyriformisAutores:Escobar J., Garit J., Rotondo R., Torrens F., Yovani Marrero-PonceFuentes:googlescopusA review of QSAR studies to discover new drug-like compounds actives against Leishmaniasis and Trypanosomiasis
ReviewAbstract: The neglected tropical diseases (NTDs) affect more than one billion people (one-sixth of the world'sPalabras claves:LEISHMANIA, neglected tropical diseases, QSAR, Trypanosoma brucei, TRYPANOSOMA CRUZI, TrypanosomatidAutores:Abad C., Garit J., Rodríguez-Borges J.E., Torrens F., Yovani Marrero-PonceFuentes:googlescopusAtom, atom-type and total molecular linear indices as a promising approach for bioorganic and medicinal chemistry: Theoretical and experimental assessment of a novel method for virtual screening and rational design of new lead anthelmintic
ArticleAbstract: Helminth infections are a medical problem in the world nowadays. In this paper a novel atom-level chPalabras claves:Anthelmintic activity, QSAR, ToMoCoMD-CARDD software, Total and local linear indices, Virtual ScreeningAutores:Castañedo N., Castro E.A., Garit J., Huesca-Guillén A., Ibarra-Velarde F., Morales A., Olazabal E., Sánchez A.M., Serrano H.S., Torrens F., Yovani Marrero-PonceFuentes:googlescopusAtom, atom-type, and total linear indices of the "molecular pseudograph's atom adjacency matrix": Application to QSPR/QSAR studies of organic compounds
ArticleAbstract: In this paper we describe the application in QSPR/QSAR studies of a new group of molecular descriptoPalabras claves:2-furylethylene, Alkyl-alcohol, QSAR, QSPR, ToMoCoMD-CARDD, Total and local linear indicesAutores:Castro E.A., Garit J., Romero-Zaldivar V., Torrens F., Yovani Marrero-PonceFuentes:googlescopusAnalysis of proteasome inhibition prediction 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 prediction of proteasome inhPalabras 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:scopusEstimation of ADME properties in drug discovery: Predicting Caco-2 cell permeability using atom-based stochastic and non-stochastic linear indices
ArticleAbstract: The in vitro determination of the permeability through cultured Caco-2 cells is the most often-usedPalabras claves:'in silico' modeling, Atom-based linear indices, Caco-2 cells, Computational ADME, Dragon software, Human intestinal absorption, QSAR, Virtual ScreeningAutores:García-Domenech R., Garit J., Torrens F., Yovani Marrero-PonceFuentes:googlescopusIn silico antibacterial activity modeling based on the TOMOCOMD-CARDD approach
ArticleAbstract: In the recent times, the race to cope with the increasing multidrug resistance of pathogenic bacteriPalabras claves:Antibacterial activity, Atom-based bilinear index, linear discriminant analysis, QSAR, ToMoCoMD-CARDD software, Virtual ScreeningAutores:Acevedo-Barrios R., Arán V.J., García-Bernal M., García-De La Vega J.M., García-Domenech R., Garit J., Medina-Marrero R., Pérez-Giménez F., Stephen Jones Barigye, Torrens F., Yovani Marrero-PonceFuentes:scopusLacosamide derivatives with anticonvulsant activity as carbonic anhydrase inhibitors. Molecular modeling, docking and QSAR analysis
ArticleAbstract: Lacosamide is an anticonvulsant drug which presents carbonic anhydrase inhibition. In this paper, wePalabras claves:Anticonvulsant activity, Carbonic Anhydrase, Dragon descriptors, Lacosamide derivatives, Molecular docking, QSARAutores:Andrada M.F., Estrada M.R., Martinez J.C.G., Pablo R. Duchowicz, Torrens F., Vega-Hissi E.G.Fuentes:scopusMachine learning-based models to predict modes of toxic action of phenols to Tetrahymena pyriformis
ArticleAbstract: The phenols are structurally heterogeneous pollutants and they present a variety of modes of toxic aPalabras claves:Machine learning technique, mode of toxic action, molecular descriptor, phenol derivative, Pollutant, QSARAutores:Garit J., Gerardo M. Casañola-Martin, Pham-The H., Stephen Jones Barigye, Torreblanca A., Torrens F.Fuentes:scopusPrediction of aquatic toxicity of benzene derivatives to tetrahymena pyriformis according to OECD principles
ReviewAbstract: Background: Many QSAR studies have been developed to predict acute toxicity over several biomarkersPalabras claves:Aquatic toxicology, Atom-based non-stochastic and stochastic linear indices, ecotoxicity, QSAR, Tetrahymena pyriformisAutores:Abad C., Garit J., Gerardo M. Casañola-Martin, Stephen Jones Barigye, Torreblanca A., Torrens F.Fuentes:scopus