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Chromosome 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:scopusComplex networks and machine learning: From molecular to social sciences
OtherAbstract: Combining complex networks analysis methods with machine learning (ML) algorithms have become a veryPalabras claves:Biological networks, Clustering, complex networks, Connectome, Ensemble classification, Machine learning, Neural networks, Social and economic networks, Supervised and unsupervised learning, SUPPORT VECTOR MACHINES, Systems biology, TIME SERIESAutores:Duardo-Sanchez A., Fletcher T., González‐díaz H., Maykel Cruz-Monteagudo, Quesada D.Fuentes:scopusComputational chemistry comparison of stable/nonstable protein mutants classification models based on 3d and topological indices
ArticleAbstract: In principle, there are different protein structural parameters that can be used in computational chPalabras claves:Protein stability, Protein structure, Spectral moments, topological indicesAutores:González‐díaz H., Podda G., Uriarte E., Yunierkis Perez-CastilloFuentes: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:googlescopusIfptml 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: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:googlescopusNet-Net Auto Machine Learning (AutoML) Prediction of Complex Ecosystems
ArticleAbstract: Biological Ecosystem Networks (BENs) are webs of biological species (nodes) establishing trophic relPalabras claves:Autores:Barreiro E., González‐díaz H., Maykel Cruz-Monteagudo, Munteanu C.R., Sierra A.P.Fuentes:scopusOncoOmics approaches to reveal essential genes in breast cancer: a panoramic view from pathogenesis to precision medicine
ArticleAbstract: Breast cancer (BC) is the leading cause of cancer-related death among women and the most commonly diPalabras claves:Autores:Alejandro Cabrera-Andrade, Andrés López-Cortés, Cesar Paz-y-Miño, Eduardo Tejera, González‐díaz H., Munteanu C.R., Santiago Xavier Guerrero, Sierra A.P., Stephen Jones Barigye, Yunierkis Perez-CastilloFuentes:googlescopusPredicting metabolic reaction networks with Perturbation-Theory Machine Learning (PTML) models
ArticleAbstract: Background: Checking the connectivity (structure) of complex Metabolic Reaction Networks (MRNs) modePalabras claves:Combinatorial perturbation theory models, complex networks, Linear invariants, Machine learning, Markov chains, Metabolic pathwaysAutores:Gerardo M. Casañola-Martin, González‐díaz H., Green J.R., Karel Diéguez-Santana, Rasulev B.Fuentes:googlescopusPrediction of Antileishmanial Compounds: General Model, Preparation, and Evaluation of 2-Acylpyrrole Derivatives
ArticleAbstract: In this work, the SOFT.PTML tool has been used to pre-process a ChEMBL dataset of pre-clinical assayPalabras claves:Autores:Arrasate S., Barbolla I., Bernabé Ortega-Tenezaca, Dea-Ayuela M.A., Fundora-Ortiz B., González‐díaz H., Lete E., Santiago C., Sotomayor N.Fuentes:scopus