Mostrando 10 resultados de: 50
Filtros aplicados
Publisher
Current Drug Metabolism(4)
Bioorganic and Medicinal Chemistry(3)
Current Topics in Medicinal Chemistry(3)
International Journal of Molecular Sciences(3)
Nanoscale(3)
Área temáticas
Farmacología y terapéutica(17)
Ciencias de la computación(13)
Medicina y salud(11)
Química analítica(8)
Enfermedades(7)
3D-Chiral quadratic indices of the 'molecular pseudographa's atom adjacency matrix' and their application to central chirality codification: Classification of ACE inhibitors and prediction 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:scopus3D-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 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 predicting 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:googlescopusCarbon nanotubes’ effect on mitochondrial oxygen flux dynamics: Polarography experimental study and machine learning models using star graph trace invariants of raman spectra
ArticleAbstract: This study presents the impact of carbon nanotubes (CNTs) on mitochondrial oxygen mass flux (Jm) undPalabras claves:carbon nanotubes, Cytotoxicity, Graph Theory, Mitochondria oxygen mass flux, Raman spectroscopy, Spectral momentsAutores:Barreiro Sorrivas J.M., Gerardo M. Casañola-Martin, González-Durruthy M., González‐díaz H., Maojo V., Monserrat J.M., Munteanu C.R., Paraíso-Medina S., Rasulev B., Sierra A.P.Fuentes:scopusChemoinformatics 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:scopusChemometrics for QSAR with low sequence homology: Mycobacterial promoter sequences recognition with 2D-RNA entropies
ArticleAbstract: Predicting mycobacterial sequences promoter of protein synthesis is important in the study of proteiPalabras claves:entropy, information theory, Machine learning algorithms, Markov models, Mycobacterial promoter sequences, QSAR, RNA secondary structureAutores:González-Díaz Y., González‐díaz H., Maykel Cruz-Monteagudo, Pérez-Bello A., Santana L., Uriarte E.Fuentes:scopusChromosome Gene Orientation Inversion Networks (GOINs) of Plasmodium Proteome
ArticleAbstract: The spatial distribution of genes in chromosomes seems not to be random. For instance, only 10% of gPalabras claves:chromosome microstructure, complex networks, gene orientation, Machine learning, MALARIA, Plasmodium sp. proteomeAutores:Bernabé Ortega-Tenezaca, González‐díaz H., Quevedo‐tumailli V.Fuentes:scopus