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A 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:scopusCarbon 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:scopusGene prioritization through consensus strategy, enrichment methodologies analysis, and networking for osteosarcoma pathogenesis
ArticleAbstract: Osteosarcoma is the most common subtype of primary bone cancer, affecting mostly adolescents. In recPalabras claves:Communality analysis, early recognition, Gene prioritization, Osteosarcoma, pathogenesisAutores:Alejandro Cabrera-Andrade, Andrés López-Cortés, Cesar Paz-y-Miño, Eduardo Tejera, Gabriela Fernanda Jaramillo-Koupermann, González‐díaz H., Munteanu C.R., Sierra A.P., Yunierkis Perez-CastilloFuentes:scopusGene 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:googlescopusEvolutionary computation and QSAR research
ReviewAbstract: The successful high throughput screening of molecule libraries for a specific biological property isPalabras claves:Evolutionary computation, Feature Extraction, Genetic Algorithms, Genetic Programming, Molecular descriptors, QSAR, Quantitative structure-activity relationships, Variable selectionAutores:Aguiar-Pulido V., Dorado J., Gestal M., Maykel Cruz-Monteagudo, Munteanu C.R., Rabuñal J.R.Fuentes:scopusDrugs Repurposing Using QSAR, Docking and Molecular Dynamics for Possible Inhibitors of the SARS-CoV-2 M<sup>pro</sup> Protease
ArticleAbstract: Wuhan, China was the epicenter of the first zoonotic transmission of the severe acute respiratory syPalabras claves:covid-19, Drugs repurposing, molecular dynamics, QSAR, SARS-COV-2Autores:Alejandro Cabrera-Andrade, Andrés López-Cortés, Eduardo Tejera, Munteanu C.R., Yunierkis Perez-CastilloFuentes:googlescopusNet-Net Auto Machine Learning (AutoML) Pbkp_rediction 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:googlescopusIn silico Analyses of Immune System Protein Interactome Network, Single-Cell RNA Sequencing of Human Tissues, and Artificial Neural Networks Reveal Potential Therapeutic Targets for Drug Repurposing Against COVID-19
ArticleAbstract: Background: There is pressing urgency to identify therapeutic targets and drugs that allow treatingPalabras claves:artificial neural networks, covid-19, drug repurposing, Immune system, single-cell RNA sequencingAutores:Adriana Granizo-Martínez, Alejandro Cabrera-Andrade, Ana Karina Zambrano, Ana María Gómez-Jaramillo, Andreina Quevedo, Andrés López-Cortés, Ángela León-Cáceres, Carlos Barba-Ostria, Cesar Paz-y-Miño, Cevallos-Robalino D., Eduardo Tejera, Esteban Ortiz-Prado, Jennyfer M. García-Cárdenas, Jhommara Bautista, Katherine Simbaña-Rivera, Lourdes Puig San Andrés, Moreno S., Munteanu C.R., Nikolaos C. Kyriakidis, P. Guevara-Ramírez, Pérez-M G., Proaño-Castro C., Quiñones L.A., Santiago Xavier Guerrero, Varela N.M., Yunierkis Perez-CastilloFuentes:scopusPerturbation-theory machine learning (PTML) multilabel model of the CheMBL dataset of preclinical assays for antisarcoma compounds
ArticleAbstract: Sarcomas are a group of malignant neoplasms of connective tissue with a different etiology than carcPalabras claves:Autores:Alejandro Cabrera-Andrade, Andrés López-Cortés, Arrasate S., Eduardo Tejera, González‐díaz H., Munteanu C.R., Sierra A.P., Yunierkis Perez-CastilloFuentes:googlescopus