Mostrando 10 resultados de: 16
Filtros aplicados
Publisher
Current Drug Metabolism(3)
Bioorganic and Medicinal Chemistry(2)
Molecular Pharmaceutics(2)
Bioorganic and Medicinal Chemistry Letters(1)
Current Computer-Aided Drug Design(1)
Chemoinformatics 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:scopus3D-Chiral quadratic indices of the 'molecular pseudographa's atom adjacency matrix' and their application to central chirality codification: Classification of ACE inhibitors and pbkp_rediction of σ-receptor antagonist activities
ArticleAbstract: Quadratic indices of the 'molecular pseudograph's atom adjacency matrix' have been generalized to coPalabras claves:3D-Chiral quadratic indices, Angiotesin-converting enzyme inhibitors, tomocomd-cardd Approach, σ-Receptor antagonistsAutores:Castro E.A., González‐díaz H., Torrens F., Yovani Marrero-Ponce, Zaldivar V.R.Fuentes:scopusA Fuzzy System Classification Approach for QSAR Modeling of αAmylase and α-Glucosidase Inhibitors
ArticleAbstract: Introduction: This report proposes the application of a new Machine Learning algorithm called FuzzyPalabras claves:Anti-diabetic agents, FURIA-C, induction rule, Lda, machine-learning techniques, QSARAutores:Amilkar Puris, Gerardo M. Casañola-Martin, González‐díaz H., Karel Diéguez-Santana, Rasulev B., Rivera-Borroto O.M.Fuentes:googlescopusA multi-objective approach for anti-osteosarcoma cancer agents discovery through drug repurposing
ArticleAbstract: Osteosarcoma is the most common type of primary malignant bone tumor. Although nowadays 5-year surviPalabras claves:Drug repositioning, Machine learning, Multi-objective model, Osteosarcoma, Virtual ScreeningAutores:Alejandro Cabrera-Andrade, Andrés López-Cortés, Eduardo Tejera, Gabriela Fernanda Jaramillo-Koupermann, González‐díaz H., Munteanu C.R., Sierra A.P., Yunierkis Perez-CastilloFuentes:scopusA new topological descriptors based model for pbkp_redicting intestinal epithelial transport of drugs in caco-2 cell culture
ArticleAbstract: Purpose: Quantitative Structure-Permeability Relationships (QSPerR) of the intestinal permeability aPalabras claves:Autores:González‐díaz H., Pérez M.A.C., Romero-Zaldivar V., Torrens F., Yovani Marrero-PonceFuentes:googlescopusGene prioritization, communality analysis, networking and metabolic integrated pathway to better understand breast cancer pathogenesis
ArticleAbstract: Consensus strategy was proved to be highly efficient in the recognition of gene-disease association.Palabras claves:Autores:Alejandro Cabrera-Andrade, Andrés López-Cortés, Cesar Paz-y-Miño, Eduardo Tejera, González‐díaz H., Munteanu C.R., Sierra A.P., Stephen Jones Barigye, Yunierkis Perez-CastilloFuentes:googlescopusMultioutput Perturbation-Theory Machine Learning (PTML) Model of ChEMBL Data for Antiretroviral Compounds
ArticleAbstract: Retroviral infections, such as HIV, are, until now, diseases with no cure. Medicine and pharmaceuticPalabras claves:antiretroviral compounds, BIG DATA, CHEMBL, Machine learning, perturbation theoryAutores:Eduardo Tejera, Emilia Vásquez-Domínguez, González‐díaz H., Vinicio Danilo Armijos-JaramilloFuentes:googlescopusNew experimental and computational tools for drug discovery: Medicinal chemistry, molecular docking, and machine learning - Part-VI
OtherAbstract:Palabras claves:Autores:González‐díaz H., Maykel Cruz-MonteagudoFuentes:scopusMachine Learning Study of Metabolic Networks vs ChEMBL Data of Antibacterial Compounds
ArticleAbstract: Antibacterial drugs (AD) change the metabolic status of bacteria, contributing to bacterial death. HPalabras claves:antibacterial compounds, CHEMBL, complex networks, Information Fusion, Machine learning, multidrug-resistant, perturbation theoryAutores:Gerardo M. Casañola-Martin, González‐díaz H., Green J.R., Karel Diéguez-Santana, Rasulev B., Roldán Torres GutiérrezFuentes:googlescopusMatrix trace operators: From spectral moments of molecular graphs and complex networks to perturbations in synthetic reactions, micelle nanoparticles, and drug ADME processes
ArticleAbstract: The study of quantitative structure-property relationships (QSPR) is important to study complex netwPalabras claves:Carbolithiations, Complex network, Drug ADME process, Markov chain, Organic synthesis, QSPR/QSAR model, Self-aggregation of drug micelle nanoparticles, Spectral moments and perturbation theoryAutores:Alejandro Speck-Planche, Arrasate S., González‐díaz H., Juan A.G.S., Lete E., Luan F., Natalia Dias Soeiro Cordeiro M., Ruso J.M., Sotomayor N.Fuentes:scopus