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Article(6)
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Scientific Reports(3)
Frontiers in Pharmacology(1)
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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: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:googlescopusOncoOmics 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:scopusPbkp_rediction of breast cancer proteins involved in immunotherapy, metastasis, and RNA-binding using molecular descriptors and artificial neural networks
ArticleAbstract: Breast cancer (BC) is a heterogeneous disease where genomic alterations, protein expression deregulaPalabras claves:Autores:Alejandro Cabrera-Andrade, Andrés López-Cortés, Cesar Paz-y-Miño, Eduardo Tejera, Gonzáles-Díaz H., Munteanu C.R., Santiago Xavier Guerrero, Sierra A.P., Vázquez-Naya J.M., Yunierkis Perez-CastilloFuentes:googlescopus