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Computational discovery of novel trypanosomicidal drug-like chemicals by using bond-based non-stochastic and stochastic quadratic maps and linear discriminant analysis
ArticleAbstract: Herein we present results of a quantitative structure-activity relationship (QSAR) studies to classiPalabras claves:Bond-based quadratic indices, Cytotoxicity, LDA-assisted QSAR model, ToMoCoMD-CARDD software, Trypanosomicidal, Virtual ScreeningAutores:Bello A., Garit J., Gómez-Barrio A., Kouznetsov V.V., Montero A., Pérez-Giménez F., Rolón M.S., Torrens F., Torres D., Vega M.C., Yovani Marrero-PonceFuentes:googlescopusAnalysis 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:scopusIn 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:scopusMachine learning approach to discovery of small molecules with potential inhibitory action against vasoactive metalloproteases
ArticleAbstract: Abstract: With the advancement of combinatorial chemistry and big data, drug repositioning has boomePalabras claves:Angiotensin-converting enzyme, Artificial Intelligence, docking, Machine learning, Neutral endopeptidase, Thermolysin, Virtual ScreeningAutores:Cañizares-Carmenate Y., Garit J., Hernández-Rodríguez E.W., MacLeod Carey D., Mena-Ulecia K., Perera-Sardiña Y., Torrens F., Yovani Marrero-PonceFuentes: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:googlescopusLinear indices of the 'macromolecular graph's nucleotides adjacency matrix' as a promising approach for bioinformatics studies. Part 1: Pbkp_rediction of paromomycin's affinity constant with HIV-1 Ψ-RNA packaging region
ArticleAbstract: The design of novel anti-HIV compounds has now become a crucial area for scientists around the worldPalabras claves:Footprinting, HIV-1 Ψ-RNA packaging region, Nucleic acid linear indices, paromomycin, TOMOCOMD-CANAR approachAutores:Garit J., Nodarse D., Yovani Marrero-PonceFuentes:scopusPbkp_redicting antitrichomonal activity: A computational screening using atom-based bilinear indices and experimental proofs
ArticleAbstract: Existing Trichomonas vaginalis therapies are out of reach for most trichomoniasis people in developiPalabras claves:Atom-based bilinear index, Computational Screening, Cytostatic and cytocidal activity, LDA-Based QSAR Model, lead generation, ToMoCoMD-CARDD software, TrichomonacidalAutores:Alvarado Y.J., Arán V.J., García-Trevijano J.A.E., Garit J., Gómez-Barrio A., Ibarra-Velarde F., Machado-Tugores Y., Martínez-Fernández A.R., Meneses-Marcel A., Nogal-Ruiz J.J., Pereira D.M., Rotondo R., Torrens F., Yovani Marrero-PonceFuentes:googlescopus