Instituto de Investigación Biomédica de A Coruña (INIBIC)
Centro de investigación
Universidad Tecnológica Equinoccial
Quito, EcuadorPublicaciones en colaboración con investigadores/as de Universidad Tecnológica Equinoccial (15)
2024
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Identifying genomic variant associated with long QT syndrome type 2 in an ecuadorian mestizo individual: a case report
Frontiers in Genetics, Vol. 15
2023
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Genetic diet interactions of ACE: the increased hypertension predisposition in the Latin American population
Frontiers in Nutrition
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Genomic analysis of a novel pathogenic variant in the gene LMNA associated with cardiac laminopathies found in Ecuadorian siblings: A case report
Frontiers in Cardiovascular Medicine, Vol. 10
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Identification of mutations on the EMD and EYA4 genes associated with Emery–Dreifuss muscular dystrophy and deafness: a case report
Frontiers in Neurology, Vol. 14
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Recommendations by the Spanish Society of Rheumatology on risk management of biological treatment and JAK inhibitors in patients with rheumatoid arthritis
Reumatologia Clinica, Vol. 19, Núm. 10, pp. 533-548
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The Autosomal Short Tandem Repeat Polymorphisms Are Potentially Associated with Cardiovascular Disease Predisposition in the Latin American Population: A Mini Review
BioMed Research International, Vol. 2023
2022
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Case report: Genomic screening for inherited cardiac conditions in Ecuadorian mestizo relatives: Improving familial diagnose
Frontiers in Cardiovascular Medicine, Vol. 9
2021
2020
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A multi-objective approach for anti-osteosarcoma cancer agents discovery through drug repurposing
Pharmaceuticals, Vol. 13, Núm. 11, pp. 1-16
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Drugs Repurposing Using QSAR, Docking and Molecular Dynamics for Possible Inhibitors of the SARS-CoV-2 Mpro Protease
Molecules (Basel, Switzerland), Vol. 25, Núm. 21
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Gene prioritization through consensus strategy, enrichment methodologies analysis, and networking for osteosarcoma pathogenesis
International Journal of Molecular Sciences, Vol. 21, Núm. 3
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OncoOmics approaches to reveal essential genes in breast cancer: a panoramic view from pathogenesis to precision medicine
Scientific Reports, Vol. 10, Núm. 1
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Perturbation-theory machine learning (PTML) multilabel model of the CheMBL dataset of preclinical assays for antisarcoma compounds
ACS Omega, Vol. 5, Núm. 42, pp. 27211-27220
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Prediction of breast cancer proteins involved in immunotherapy, metastasis, and RNA-binding using molecular descriptors and artificial neural networks
Scientific Reports, Vol. 10, Núm. 1
2018
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Gene prioritization, communality analysis, networking and metabolic integrated pathway to better understand breast cancer pathogenesis
Scientific Reports, Vol. 8, Núm. 1