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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:googlescopus3D-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: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:scopusHarmonization of QSAR Best Practices and Molecular Docking Provides an Efficient Virtual Screening Tool for Discovering New G-Quadruplex Ligands
ArticleAbstract: Telomeres and telomerase are key players in tumorogenesis. Among the various strategies proposed forPalabras claves:Autores:Borges F., Bourdoncle A., Castillo-González D., Cesar Paz-y-Miño, De Rache A., Eduardo Tejera, Garrigues T., Guédin A., Introcaso A., Mangiatordi G.F., Maykel Cruz-Monteagudo, Mergny J.L., Natalia Dias Soeiro Cordeiro M., Nicolotti O., Pallardó F., Pérez M.A.C., Pérez-Machado G.Fuentes:scopusQSAR, complex networks, principal components and partial order analysis of drug cardiotoxicity with proteome mass-spectra topological indices
Book PartAbstract: Blood Serum Proteome-Mass Spectra (SP-MS) may allow detecting Proteome-Early Drug Induced Cardiac ToPalabras claves:Clinical Proteomics, complex networks, Markov Model, Mass spectrometry, Partial Order, Quantitative Structure-Property RelationshipAutores:Borges F., Concud R., González‐díaz H., Maykel Cruz-Monteagudo, Munteanu C.R., 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:scopusStochastic molecular descriptors for polymers. 4. Study of complex mixtures with topological indices of mass spectra spiral and star networks: The blood proteome case
ArticleAbstract: The Quantitative Structure-Property Relationships (QSPRs) based on Graph or Network Theory are imporPalabras claves:Biopolymers mixtures, complex networks, QSPRAutores:Borges F., Chou K.C., González‐díaz H., Maykel Cruz-Monteagudo, Munteanu C.R., Natalia Dias Soeiro Cordeiro M., Uriarte E.Fuentes:scopus