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Chemoinformatics profiling of the chromone nucleus as a MAO-B/A<inf>2A</inf>AR dual binding scaffold
ArticleAbstract: Background: In the context of the current drug discovery efforts to find disease modifying therapiesPalabras claves:A adenosine receptor 2A, chemoinformatics, Chromones, Dual-target binder, Monoamine Oxidase B, Parkinson’s DiseaseAutores:Aminael Sánchez-Rodríguez, Borges F., Cesar Paz-y-Miño, Eduardo Tejera, Maykel Cruz-Monteagudo, Morales-Helguera A., Natalia Dias Soeiro Cordeiro M., Perera-Sardiña Y., Yunierkis Perez-CastilloFuentes:googlescopusMachine 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:googlescopusProbing the hypothesis of SAR continuity restoration by the removal of activity cliffs generators in QSAR
ReviewAbstract: In this work we report the first attempt to study the effect of activity cliffs over the generalizatPalabras claves:Activity cliffs, Activity cliffs generators, chemoinformatics, Machine learning, QSAR, Virtual ScreeningAutores:Aminael Sánchez-Rodríguez, Borges F., Cesar Paz-y-Miño, Contreras-Posada Z., Eduardo Tejera, Maykel Cruz-Monteagudo, Medina-Franco J.L., Natalia Dias Soeiro Cordeiro M., Perera-Sardiña Y., Yunierkis Perez-CastilloFuentes:googlescopus