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scopus(14)
Chemoinformatics for medicinal chemistry: In silico model to enable the discovery of potent and safer anti-cocci agents
ArticleAbstract: Background: Gram-positive cocci are increasingly antibiotic-resistant bacteria responsible for causiPalabras claves:Autores:Alejandro Speck-Planche, Natalia Dias Soeiro Cordeiro M.Fuentes:scopusChemoinformatics in anti-cancer chemotherapy: Multi-target QSAR model for the in silico discovery of anti-breast cancer agents
ArticleAbstract: The discovery of new and more efficient anti-cancer chemotherapies is a field of research in expansiPalabras claves:Anti-BC activity, BC cell lines, In silico design, linear discriminant analysis, mt-QSAR, quantitative contributionsAutores:Alejandro Speck-Planche, Kleandrova V.V., Luan F., Natalia Dias Soeiro Cordeiro M.Fuentes:scopusComputational modeling in nanomedicine: Pbkp_rediction of multiple antibacterial profiles of nanoparticles using a quantitative structure-activity relationship perturbation model
ArticleAbstract: Aims: We introduce the first quantitative structure-activity relationship (QSAR) perturbation modelPalabras claves:Antibacterial activity, Moving average approach, Nanoparticle, Perturbation, QSARAutores:Alejandro Speck-Planche, Kleandrova V.V., Luan F., Natalia Dias Soeiro Cordeiro M.Fuentes:scopusComputer-aided nanotoxicology: Assessing cytotoxicity of nanoparticles under diverse experimental conditions by using a novel QSTR-perturbation approach
ArticleAbstract: Nowadays, the interest in the search for new nanomaterials with improved electrical, optical, catalyPalabras claves:Autores:Alejandro Speck-Planche, González‐díaz H., Kleandrova V.V., Luan F., Melo A., Natalia Dias Soeiro Cordeiro M., Ruso J.M.Fuentes:scopus3D-MEDNEs: An alternative "in silico" technique for chemical research in toxicology. 2. Quantitative proteome-toxicity relationships (QPTR) based on mass spectrum spiral entropy
ArticleAbstract: Low range mass spectra (MS) characterization of serum proteome offers the best chance of discoveringPalabras claves:Autores:Borges F., Dominguez E.R., González‐díaz H., Maykel Cruz-Monteagudo, Natalia Dias Soeiro Cordeiro M.Fuentes:scopusA general ann-based multitasking model for the discovery of potent and safer antibacterial agents
ArticleAbstract: Bacteria have been one of the world’s most dangerous and deadliest pathogens for mankind, nowadays gPalabras claves:Antibacterial activity, artificial neural networks, Drug resistance, Moving average approach, Mtk-QSBER models, ontology, QSAR, topological indicesAutores:Alejandro Speck-Planche, Natalia Dias Soeiro Cordeiro M.Fuentes:scopusCurrent tendencies in antimicrobial research: Medicinal chemistry of antibacterial agents and advances in the use of computational methodologies
OtherAbstract:Palabras claves:Autores:Alejandro Speck-Planche, Natalia Dias Soeiro Cordeiro M., Scotti M.T.Fuentes:scopusAbelson tyrosine-protein kinase 1 as principal target for drug discovery against leukemias role of the current computer-aided drug design methodologies
ArticleAbstract: The discovery of anti-cancer agents is an area which continues in accelerated expansion. Leukemias (Palabras claves:artificial neural networks, Fragments, In silico design, Inhibitors, Kinase, Leukemias, linear discriminant analysis, Molecular docking, QSAR, quantitative contributionsAutores:Alejandro Speck-Planche, Luan F., Natalia Dias Soeiro Cordeiro M.Fuentes:scopusEnabling virtual screening of potent and safer antimicrobial agents against noma: Mtk-QSBER model for simultaneous pbkp_rediction of antibacterial activities and ADMET properties
ArticleAbstract: Neglected diseases are infections that thrive mainly among underdeveloped countries, particularly thPalabras claves:ADMET, antibacterial, linear discriminant analysis, NOMA, Quadratic IndicesAutores:Alejandro Speck-Planche, Natalia Dias Soeiro Cordeiro M.Fuentes:scopusMultidimensional drug design: Simultaneous analysis of binding and relative efficacy profiles of n<sup>6</sup>-substituted-4′-thioadenosines A <inf>3</inf> adenosine receptor agonists
ArticleAbstract: Desirability theory (DT) is a well-known multi-criteria decision-making approach. In this work, DT iPalabras claves:A adenosine receptor agonists 3, Belief theory, chemoinformatics, Desirability theory, Drug Discovery, Ligand-based virtual screening, Simultaneous analysisAutores:Borges F., Maykel Cruz-Monteagudo, Natalia Dias Soeiro Cordeiro M., Perez González M., Teijeira M.Fuentes:scopus