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Ítem Acceso Abierto Caracterización de agua potable y residual en la dulcería Silverio del municipio de Placetas(2017-10-27) Álvarez González, Orlando Roberto; Pérez Rodríguez, Zenia; Rodríguez Negrín, Zenaida; Sosa Martinez, Rafael; Santana Rodriguez, Anisley; López Perez, Daniellys; Universidad Central "Marta Abreu" de Las Villas. Centro de Bioactivos Quimicos (CBQ)La Dulcería Silverio del municipio de Placetas se dedica a la elaboración de mermeladas y dulces troceados de guayaba, mango y fruta bomba. Dichas producciones se realizan con la más completa higiene que exige el proceso, pero es necesario tener un criterio de aceptación del agua potable que se utiliza en las producciones y el agua y residual resultante de las mismas. La presente investigación tiene como objetivo evaluar la calidad del agua para ver si la misma cumple con los requisitos sanitarios establecidos en la Norma Cubana NC-827/2010 para Agua Potable y NC-27/2012 de Vertimientos de Aguas Residuales y alcantarillado. Durante este trabajo sedeterminaron las concentraciones de nitratos, nitritos, pH, Sólidos Totales Disueltos (STD), dureza cálcica y magnésica, además de la dureza total expresada como CaCO3, Nitrógeno y Fosforo Total, Demanda Química de Oxígeno (DQO), Cloruros y sus resultados fueron: pH=7.4, STD= 616,5mg/L, dureza total=175,23mg/L, calcio=101,02mg/L y magnesio=74,21mg/L. La determinación de nitratos y nitritos fue de 9,36677mg/L y 0,033mg/L respectivamente mientras que la concentración de nitrógenos total fue de 1.394mg/L, fosforo total 1.541mg/L, cloruro 2.63mg/L y la DQO 619.05mg/L. Los resultados obtenidos alegan una adecuada calidad del agua, los cuales cumplen las especificaciones establecidas por los Límites Máximos Admisibles (LMA) de la NC 827/2010 y la NC 27/2012., a excepción de los nitritos que no cumplen con lo establecido en la Norma Cubana antes mencionada.Ítem Acceso Abierto A Computer-Based Approach to the rational discovery of new trichomonacidal drugs by atom-type linear indices(2005) Marrero Ponce, Yovani; Machado Tugores, Yanetsy; Pereira, David M.; Barrio, Alicia G.; Nogal Ruiz, Juan J.; Montero Torres, Alina; Meneses Marcel, Alfredo; Torrens, Francisco; Martinez Fernández, Antonio R.; Garcia Sánchez, Rory; Escario, José A.; Aran, Vicente J.; Ochoa, Carmen; Universidad Central "Marta Abreu" de Las Villas. Facultad de Química y Farmacia. Departamento de Farmacia; Universidad Central "Marta Abreu" de Las Villas. Centro de Bioactivos QuímicosComputational approaches are developed to design or rationally select, from structural databases, new lead trichomonacidal compounds. First, a data set of 111 compounds was split (design) into training and predicting series using hierarchical and partitional cluster analyses. Later, two discriminant functions were derived with the use of non-stochastic and stochastic atom-type linear indices. The obtained LDA (linear discrimination analysis)-based QSAR (quantitative structure-activity relationship) models, using non-stochastic and stochastic descriptors were able to classify correctly 95.56% (90.48%) and 91.11% (85.71%) of the compounds in training (test) sets, respectively. The result of predictions on the 10% full-out cross-validation test also evidenced the quality (robustness, stability and predictive power) of the obtained models. These models were orthogonalized using the Randic´ orthogonalization procedure. Afterwards, a simulation experiment of virtual screening was conducted to test the possibilities of the classification models developed here in detecting antitrichomonal chemicals of diverse chemical structures. In this sense, the 100.00% and 77.77% of the screened compounds were detected by the LDA-based QSAR models (Eq. 13 and Eq. 14, correspondingly) as trichomonacidal. Finally, new lead trichomonacidals were discovered by prediction of their antirichomonal activity with obtained models. The most of tested chemicals exhibit the predicted antitrichomonal effect in the performed ligand-based virtual screening, yielding an accuracy of the 90.48% (19/21). These results support a role for TOMOCOMD-CARDD descriptors in the biosilico discovery of new compounds.Ítem Acceso Abierto Estudios de seguridad toxicológica de la Tintura Hidroalcohólica de Propóleos producida en el Centro de Bioactivos Químicos(Editorial Feijóo, 2022) Seijo Wals, Mirieisy; Meneses Marcel, Alfredo Irenaldo; Marrero Chang, Osmany; Águila Jiménez, Edisleidy; Castañedo Hernández, Zoe Alicia; Universidad Central "Marta Abreu" de Las Villas. Centro de Bioactivos Químicos; Ravelo Romero, LisetLos propóleos constituyen uno de los subproductos apícolas más reconocidos debido a las acciones biológicas que se relacionan con sus constituyentes. Su composición química resulta compleja y depende de la flora presente en el área de recolección. Dicha variabilidad justifica la caracterización de la seguridad toxicológica de los productos derivados del mismo. En la Planta de Producción del Centro de Bioactivos Químicos se produce una Tintura Hidroalcohólica de Propóleos, la cual fue evaluada mediante los ensayos de toxicidad a dosis única oral en ratas y dérmica en conejos, e irritabilidad dérmica y oftálmica en conejos. Dicho producto se administró a dosis elevadas y se midieron efectos letales y subletales. Las metodologías utilizadas para cada evaluación se basaron en las guías propuestas por la Agencia de Protección Ambiental de los Estados Unidos. Los estudios experimentales evidenciaron la ausencia de toxicidad del producto al aplicarse por las vías oral y dérmica a una dosis límite de 5000 mg/kg de masa corporal en ratas y 2000 mg/kg en conejos, respectivamente. Los ensayos de irritabilidad demostraron que la tintura resultó no irritante dérmica y por vía oftálmica clasificó como moderadamente irritante. Los resultados del primer nivel de evaluación indican que la tintura hidroalcohólica de propóleos no presenta riesgo toxicológico en humanos, excepto con las indicaciones de limitación de uso o exposición en ojosÍtem Acceso Abierto Ligand-based discovery of novel trypanosomicidal drug-like compounds: In silico identification and experimental support(2011) Castillo Garit, Juan Alberto; Vega, Maria Celeste; Rolón, Miriam; Marrero Ponce, Yovani; Gómez Barrio, Alicia; Escario, José A.; Alvarez Bello, Alfredo; Montero Torres, Alina; Torrens, Francisco; Pérez Giménez, Facundo; Arán, Vicente J.; Abad, Concepción; Universidad Central "Marta Abreu" de Las Villas. Centro de Bioactivos Químicos; Universidad de Valencia; Centro para el Desarrollo de la Investigación Científica. Fundación Moisés Bertoni/Díaz Gill Medicina Laboratorial. Paraguay; Instituto de Química Médica, CSIC. Madrid; Universidad Central "Marta Abreu" de Las Villas. Facultad de Química y Farmacia. Departamento de FarmaciaTwo-dimensional bond-based linear indices and linear discriminant analysis are used in this report to perform a quantitative structureeactivity relationship study to identify new trypanosomicidal compounds. A database with 143 anti-trypanosomal and 297 compounds having other clinical uses, are utilized to develop the theoretical models. The best discriminant models computed using bond-based linear indices provides accuracies greater than 90 for both training and test sets. Our models identify as anti-trypanosomals five out of nine compounds of a set of already-synthesized substances. The in vitro anti-trypanosomal activity of this set against epimastigote forms of Trypanosoma cruzi is assayed. Both models show a perfect agreement between theoretical predictions and experimental results. The compounds identified as active ones show more than 98% of anti-epimastigote elimination (AE) at a concentration of 100 mg/mL. Besides, three compounds show more than 70% of AE at a concentration of 10 mg/mL. Finally, compounds with the best “activity against epimastigote forms/unspecific cytotoxicity” ratio are evaluated using an amastigote susceptibility assay. It should be noticed that, compound Va7-71 exhibit a 100% of intracellular amastigote elimination and shows similar activity when compared to a standard trypanosomicidal as nifurtimox. Finally, we can emphasize that, the present algorithm constitutes a step forward in the search for efficient ways of discovering new anti-trypanosomal compoundsÍtem Acceso Abierto A linear discrimination analysis based virtual screening of trichomonacidal lead-like compounds: outcomes of in silico studies supported by experimental results(2005) Meneses Marcel, Alfredo; Marrero Ponce, Yovani; Machado Tugores, Yanetsy; Montero Torres, Alina; Montero Pereira, David; Escario, José Antonio; Nogal Ruiz, Juan José; Ochoa, Carmen; Arán, Vicente J.; Martínez Fernández, Antonio R.; García Sánchez, Rory N.; Universidad Central "Marta Abreu" de Las Villas. Centro de Bioactivos Químicos; Universidad Central "Marta Abreu" de Las Villas. Facultad de Química y Farmacia. Departamento de Farmacia; Instituto de Química Médica, CSIC. Madrid; Universidad Nacional de la Amazonía Peruana. Laboratorio de Investigación de Productos Naturales Antiparasitarios de la AmazoníaA computational (virtual) screening test to identify potential trichomonacidals has been developed. Molecular structures of trichomonacidal and non-trichomonacidal drugs were represented using stochastic and non-stochastic atom-based quadratic indices and a linear discrimination analysis (LDA) was trained to classify molecules regarding their antiprotozoan activity. Validation tests revealed that our LDA-QSAR models recognize at least 88.24% of trichomonacidal lead-like compounds and suggest using this methodology in virtual screening protocols. These classification functions were then applied to find new lead antitrichomonal compounds. In this connection, the biological assays of eight compounds, selected by computational screening using the present models, give good results (87.50% of good classification). In general, most of the compounds showed high activity against Trichomonas vaginalis at the concentration of 100 lg/ml and low cytotoxicity to this concentration. In particular, two heterocyclic derivatives (VA7-67 and VA7-69) maintained their efficacy at 10 lg/ml with an important trichomonacidal activity (100.00% of reduction),but it is remarkable that the compound VA7-67 did not show cytotoxic effects in macrophage cultivations. This result opens a door to a virtual study considering a higher variability of the structural core already evaluated, as well as of other chemicals not included in this studyÍtem Acceso Abierto New antitrichomonal drug-like chemicals selected by bond (edge)-based TOMOCOMD-CARDD descriptors(2008) Meneses Marcel, Alfredo; Rivera Borroto, Oscar Miguel; Marrero Ponce, Yovani; Montero Torres, Alina; Machado Tugores, Yanetsy; Escario, José Antonio; Gómez Barrio, Alicia; Montero Pereira, David; Nogal Ruiz, Juan José; Kouznetsov, Vladimir V.; Ochoa Puentes, Christian; Bohórquez, Arnaold R.; Grau Ábalo, Ricardo del Corazón; Torrens, Francisco; Ibarra Velarde, Froylán; Arán, Vicente J.; Universidad Central "Marta Abreu" de Las Villas. Facultad de Química y Farmacia. Departamento de Farmacia; Universidad Complutense de Madrid. Facultad de Farmacia; Universidad Central "Marta Abreu" de Las Villas. Facultad de Matemática Física y Computación. Centro de Estudios Informáticos; Instituto de Ciencias Moleculares. Universidad de Valencia; Universidad Industrial de Santander, Bucaramanga, Colombia .Laboratorio de Química Orgánica y Biomolecular; Universidad Nacional Autónoma de MéxicoBond-based quadratic indices, new TOMOCOMD-CARDD molecular descriptors, and linear discriminant analysis (LDA) were used to discover novel lead trichomonacidals. The obtained LDA-based quantitative structure-activity relationships (QSAR) models, using nonstochastic and stochastic indices, were able to classify correctly 87.91% (87.50%) and 89.01% (84.38%) of the chemicals in training (test) sets, respectively. They showed large Matthews correlation coefficients of 0.75 (0.71) and 0.78 (0.65) for the training (test) sets, correspondingly. Later, both models were applied to the virtual screening of 21 chemicals to find new lead antitrichomonal agents. Predictions agreed with experimental results to a great extent because a correct classification for both models of 95.24% (20 of 21) of the chemicals was obtained. Of the 21 compounds that were screened and synthesized, 2 molecules (chemicals G-1, UC-245) showed high to moderate cytocidal activity at the concentration of 10 mg/ml, another 2 compounds (G-0 and CRIS-148) showed high cytocidal activity only at the concentration of 100 mg/ml, and the remaining chemicals (from CRIS-105 to CRIS-153, except CRIS-148) were inactive at these assayed concentrations. Finally, the best candidate, G-1 (cytocidal activity of 100% at 10 mg/ml) was in vivo assayed in ovariectomized Wistar rats achieving promising results as a trichomonacidal drug-like compound. (Journal of Biomolecular Screening 2008:785-794).Ítem Acceso Abierto A novel non-stochastic quadratic fingerprints-based approach for the “in silico” discovery of new antitrypanosomal compounds(2005) Montero Torres, Alina; Vega, María Celeste; Marrero Ponce, Yovani; Rolóm, Miriam; Gómez Barrio, Alicia; Escario, José Antonio; Arán, Vicente J.; Martinez Fernández, Antonio R.; Meneses Marcel, Alfredo; Universidad Central "Marta Abreu" de Las Villas. Centro de Bioactivos Químicos; Universidad Complutense de Madrid. Facultad de Farmacia; Universidad Central "Marta Abreu" de Las Villas. Facultad de Química y Farmacia. Departamento de Farmacia; Instituto de Química Médica, CSIC. MadridA Non-Stochastic Quadratic Fingerprints-based approach is introduced to classify and design, in a rational way, new antitrypanosomal compounds. A data set of 153 organic-chemicals; 62 with antitrypanosomal activity and 91 having other clinical uses, was processed by a k-means cluster analysis in order to design training and predicting data sets. Afterwards, a linear classification function was derived allowing the discrimination between active and inactive compounds. The model classifies correctly more than 93% of chemicals in both training and external prediction groups. The predictability of this discriminant function was also assessed by a leave-group-out experiment, in which 10% of the compounds were removed at random at each time and their activity a posteriori predicted. Also a comparison with models generated using four well-known families of 2D molecular descriptors was carried out. As an experiment of virtual lead generation, the present TOMOCOMD approach was finally satisfactorily applied on the virtual evaluation of ten already synthesized compounds. The in vitro antitrypanosomal activity of this series against epimastigotes forms of T. cruzi was assayed. The model was able to predict correctly the behaviour of these compounds in 90% of the cases.Ítem Acceso Abierto Sueños convertidos en realidad(Feijóo, 2015) Castañedo Cancio, Nilo; Rodríguez Negrín, Zenaida; Universidad Central "Marta Abreu" de Las Villas. Centro de Bioactivos Químicos (CBQ)