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Multi-target inhibitors for proteins associated with Alzheimer: In silico discovery using fragment-based descriptors
ArticleAbstract: Alzheimer disease (AD) is one of the most common and serious neurodegenerative disorders in humans.Palabras claves:Anti-AD agents, Fragment, linear discriminant analysis, Mt-inhibitors, QSAR, quantitative contributionsAutores:Alejandro Speck-Planche, Kleandrova V.V., Luan F., Natalia Dias Soeiro Cordeiro M.Fuentes:scopusUnified multi-target approach for the rational in silico design of anti-bladder cancer agents
ArticleAbstract: Bladder cancer (BLC) is a very dangerous and common disease which is characterized by an uncontrollePalabras claves:artificial neural networks, bladder cancer, Fragments, In silico design, linear discriminant analysis, Molecular descriptors, Mt- QSAR, quantitative contributionsAutores:Alejandro Speck-Planche, Kleandrova V.V., Luan F., Natalia Dias Soeiro Cordeiro M.Fuentes:scopusRecent advances on QSAR-based profiling of agonist and antagonist A<inf>3</inf> adenosine receptor ligands
ReviewAbstract: Adenosine receptors (ARs) are signaling molecules ubiquitously expressed in a wide variety of tissuePalabras claves:A AR ligands 3, Adenosine Receptor (AR), Agonists, Antagonists, QSARAutores:Borges F., Deng C., Luan F., Maykel Cruz-Monteagudo, Natalia Dias Soeiro Cordeiro M.Fuentes:scopus