Mostrando 6 resultados de: 6
Filtros aplicados
Publisher
Molecular Pharmaceutics(2)
Current Drug Metabolism(1)
Current Protein and Peptide Science(1)
International Journal of Molecular Sciences(1)
Molecular Diversity(1)
Área temáticas
Farmacología y terapéutica(4)
Medicina y salud(2)
Biología(1)
Bioquímica(1)
Ciencias de la computación(1)
Área de conocimiento
Aprendizaje automático(4)
Bioquímica(4)
Descubrimiento de fármacos(2)
Farmacología(2)
Enfermedad(1)
Ifptml mapping of drug graphs with protein and chromosome structural networks vs. Pre‐clinical assay information for discovery of antimalarial compounds
ArticleAbstract: The parasite species of genus Plasmodium causes Malaria, which remains a major global health problemPalabras claves:Antimalarial compounds, CHEMBL, complex networks, Machine learning, NCBI‐GDV, perturbation theory, Plasmodium proteome, UniProtAutores:Bernabé Ortega-Tenezaca, González‐díaz H., Quevedo‐tumailli V.Fuentes:scopusMulti-output model with Box–Jenkins operators of linear indices to predict multi-target inhibitors of ubiquitin–proteasome pathway
ArticleAbstract: The ubiquitin–proteasome pathway (UPP) plays an important role in the degradation of cellular proteiPalabras claves:CHEMBL, Moving averages, Multi-scale and multi-output models, multi-target, QSAR, Ubiquitin–proteasome pathway inhibitorsAutores:Abad C., Gerardo M. Casañola-Martin, González‐díaz H., Merino-Sanjuán M., Pérez-Giménez F., Thu H.L.T., Yovani Marrero-PonceFuentes:scopusMulti-output model with box-jenkins operators of quadratic indices for prediction of malaria and cancer inhibitors targeting ubiquitin-proteasome pathway (UPP) proteins
ArticleAbstract: The ubiquitin-proteasome pathway (UPP) is the primary degradation system of short-lived regulatory pPalabras claves:Atom-based quadratic indices, Cáncer, CHEMBL, MALARIA, Moving average, Multi-scale and multi-output model, multi-target, QSAR, UPP inhibitorAutores:Abad C., Gerardo M. Casañola-Martin, González‐díaz H., Merino-Sanjuán M., Pérez-Giménez F., Thu H.L.T., Yovani Marrero-PonceFuentes:scopusMultioutput 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:googlescopusQSPR and Flow Cytometry Analysis (QSPR-FCA): Review and New Findings on Parallel Study of Multiple Interactions of Chemical Compounds with Immune Cellular and Molecular Targets
ReviewAbstract: The immune system helps to halt the infections caused by pathogenic microbial and parasitic agents.Palabras claves:CD19 lymphocytes, CHEMBL, complex networks, Drug immunotoxicity, Flow cytometry, Markov chains, perturbation theory, Spectral momentsAutores:Alejandro Speck-Planche, González‐díaz H., Luan F., Natalia Dias Soeiro Cordeiro M., Ramirez F.R., Tenorio-Borroto E.Fuentes: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:googlescopus