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From flamingo dance to (desirable) drug discovery: a nature-inspired approach
ReviewAbstract: The therapeutic effects of drugs are well known to result from their interaction with multiple intraPalabras claves:Autores:Aminael Sánchez-Rodríguez, Borges F., Eduardo Tejera, Mangiatordi G.F., Maykel Cruz-Monteagudo, Medina-Franco J.L., Natalia Dias Soeiro Cordeiro M., Nicolotti O., Schürer S.C., Yunierkis Perez-CastilloFuentes:googlescopusFusing docking scoring functions improves the virtual screening performance for discovering Parkinson’s disease dual target ligands
ArticleAbstract: Background: Virtual methodologies have become essential components of the drug discovery pipeline. SPalabras claves:Dual target ligands, Molecular docking, Parkinson’s Disease, Scoring fusionAutores:Aminael Sánchez-Rodríguez, Borges F., Cesar Paz-y-Miño, Eduardo Tejera, Maykel Cruz-Monteagudo, Morales-Helguera A., Natalia Dias Soeiro Cordeiro M., Yunierkis Perez-CastilloFuentes:googlescopusConsensus strategy in genes prioritization and combined bioinformatics analysis for preeclampsia pathogenesis
ArticleAbstract: Background: Preeclampsia is a multifactorial disease with unknown pathogenesis. Even when recent stuPalabras claves:Communality analysis, Consensus analysis, early recognition, Gene periodization, Microarray analysis, pathogenesis, PreeclampsiaAutores:Aminael Sánchez-Rodríguez, Borges F., Cesar Paz-y-Miño, Eduardo Tejera, Germán Burgos, Maykel Cruz-Monteagudo, Natalia Dias Soeiro Cordeiro M., Rebelo I., Sánchez M.E., Yunierkis Perez-CastilloFuentes:googlescopusEfficient and biologically relevant consensus strategy for Parkinson's disease gene prioritization
ArticleAbstract: Background: The systemic information enclosed in microarray data encodes relevant clues to overcomePalabras claves:Co-expression networks, Consensus strategy, early recognition, Gene prioritization, Parkinson's DiseaseAutores:A. Sanchez Rodriguez, Aminael Sánchez-Rodríguez, Borges F., Cesar Paz-y-Miño, Eduardo Tejera, Maykel Cruz-Monteagudo, Morales-Helguera A., Natalia Dias Soeiro Cordeiro M., Rebelo I., Y. Perez Castillo, Yunierkis Perez-CastilloFuentes:googlerraaescopusA TOPological Sub-structural Molecular Design (TOPS-MODE)-QSAR approach for modeling the antiproliferative activity against murine leukemia tumor cell line (L1210)
ArticleAbstract: Lately, Quantitative Structure-Activity Relationship (QSAR) studies have been afar used to predict aPalabras claves:anticancer activity, Indolcarbazole, Leukemia antitumor agents, RebeccamycinAutores:García-Mera X., Molina-Ruiz R., Natalia Dias Soeiro Cordeiro M., Perez González M., Rodríguez-Borges J.E., Saíz-Urra L., Yunierkis Perez-CastilloFuentes:googlescopusA desirability-based multi objective approach for the virtual screening discovery of broad-spectrum anti-gastric cancer agents
ArticleAbstract: Gastric cancer is the third leading cause of cancer-related mortality worldwide and despite advancesPalabras claves:Autores:Aminael Sánchez-Rodríguez, Borges F., Eduardo Tejera, Maykel Cruz-Monteagudo, Natalia Dias Soeiro Cordeiro M., Pham-The H., Thu H.L.T., Yunierkis Perez-CastilloFuentes:googlescopusChemoinformatics 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:googlescopusLigand-Based Virtual Screening Using Tailored Ensembles: A Prioritization Tool for Dual A<inf>2A</inf> Adenosine Receptor Antagonists / Monoamine Oxidase B Inhibitors
ArticleAbstract: Background: Virtual Screening methodologies have emerged as efficient alternatives for the discoveryPalabras claves:A2A adenosine receptors antagonist, Dual-target drugs, Ensemble modeling, MAO-B inhibitors, QSAR, Virtual ScreeningAutores:Aminael Sánchez-Rodríguez, Ancede-Gallardo E., Borges F., Cagide F., Cesar Paz-y-Miño, Eduardo Tejera, Maykel Cruz-Monteagudo, Morales-Helguera A., Natalia Dias Soeiro Cordeiro M., Teijeira M., Yunierkis Perez-CastilloFuentes: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:googlescopusTheoretical prediction of antiproliferative activity against murine leukemia tumor cell line (L1210). 3D-morse descriptor and its application in computational chemistry)
ArticleAbstract: Cancer is among the top ten causes of death in the world but in spite of the efforts of the pharmacePalabras claves:3D-MoRSE, anticancer activity, Indolocarbazoles derivatives, QSARAutores:García-Mera X., Natalia Dias Soeiro Cordeiro M., Perez González M., Rodríguez-Borges J.E., Ruiz R.M., Saíz-Urra L., Yunierkis Perez-CastilloFuentes:googlescopus