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3D-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 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:googlescopusChemoinformatics in metabolomics, from molecular mechanics, dynamics, and docking to complex metabolic networks, part 2
OtherAbstract:Palabras claves:Autores:Alejandro Speck-Planche, González‐díaz H., Natalia Dias Soeiro Cordeiro M.Fuentes:scopusChemoinformatics in metabolomics, modeling chemical reactivity and admet processes part 1
OtherAbstract:Palabras claves:Autores:Alejandro Speck-Planche, González‐díaz H., Natalia Dias Soeiro Cordeiro M.Fuentes:scopusChemoinformatics profiling of ionic liquids-automatic and chemically interpretable cytotoxicity profiling, virtual screening, and cytotoxicophore identification
ArticleAbstract: Ionic liquids (ILs) possess a unique physicochemical profile providing a wide range of applications.Palabras claves:chemoinformatics, Cytotoxicophores, Ionic liquids, IPC-81 cytotoxicity, Structure-cytotoxicity relationships, Virtual ScreeningAutores:Ancede-Gallardo E., Jorge M., Maykel Cruz-Monteagudo, Natalia Dias Soeiro Cordeiro M.Fuentes:scopusChemoinformatics 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:googlescopusHarmonization 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:scopusSpeeding Up the Virtual Design and Screening of Therapeutic Peptides: Simultaneous Prediction of Anticancer Activity and Cytotoxicity
Book PartAbstract: In this chapter, we propose a novel computational methodology for the virtual design and screening oPalabras claves:artificial neural networks, autocorrelation, design, mean, Mtk-chemoinformatic model, pbkp_rediction, Virtual ScreeningAutores:Alejandro Speck-Planche, 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:scopusMulti-target QSAR approaches for modeling protein inhibitors. Simultaneous prediction of activities against biomacromolecules present in Gram-negative bacteria
ArticleAbstract: Drug discovery is aimed at finding therapeutic agents for the treatment of many diverse diseases andPalabras claves:Amino acid sequence, inhibitor, Molecular fragment, Moving average approach, mt-QSAR, Physicochemical propertiesAutores:Alejandro Speck-Planche, Natalia Dias Soeiro Cordeiro M.Fuentes:scopus