Browsing by Author "López-Cortés, Andrés"
Now showing items 1-12 of 12
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A Multi-Objective Approach for Anti-Osteosarcoma Cancer Agents Discovery through Drug Repurposing
Cabrera-Andrade, Alejandro; López-Cortés, Andrés; Jaramillo-Koupermann, Gabriela; González-Díaz, Humberto; Pazos, A.; Munteanu, Cristian-Robert; Pérez-Castillo, Yunierkis; Tejera, Eduardo (MDPI AG, 2020-11-22)[Abstract] Osteosarcoma is the most common type of primary malignant bone tumor. Although nowadays 5-year survival rates can reach up to 60–70%, acute complications and late effects of osteosarcoma therapy are two of the ... -
A Quick Guide for Using Microsoft Onenote as an Electronic Laboratory Notebook
Guerrero, Santiago; López-Cortés, Andrés; García, Jennyfer; Saa, Pablo; Indacochea Cusirramos, Alberto; Armendáriz-Castillo, Isaac; Zambrano, Ana Karina; Yumiceba, Verónica; Pérez Villa, Andy; Guevara-Ramírez, Patricia; Moscoso-Zea, Oswaldo; Paredes-Gualtor, Joel; Leone, Paola E.; Paz-y-Miño, César (Public Library of Science, 2019-05-09)[Abstract] Scientific data recording and reporting systems are of a great interest for endorsing reproducibility and transparency practices among the scientific community. Current research generates large datasets that can ... -
Drugs Repurposing Using QSAR, Docking and Molecular Dynamics for Possible Inhibitors of the SARS-CoV-2 Mpro Protease
Tejera, Eduardo; Munteanu, Cristian-Robert; López-Cortés, Andrés; Cabrera-Andrade, Alejandro; Pérez-Castillo, Yunierkis (MDPI AG, 2020-11-06)[Abstract] Wuhan, China was the epicenter of the first zoonotic transmission of the severe acute respiratory syndrome coronavirus clade 2 (SARS-CoV-2) in December 2019 and it is the causative agent of the novel human ... -
Drugs Repurposing Using QSAR, Docking and Molecular Dynamics for Possible Inhibitors of the SARS-CoV-2 Mpro Protease
Tejera, Eduardo; Munteanu, Cristian-Robert; López-Cortés, Andrés; Cabrera-Andrade, Alejandro; Pérez-Castillo, Yunierkis (MDPI AG, 2020-11-06)[Abstract] Wuhan, China was the epicenter of the first zoonotic transmission of the severe acute respiratory syndrome coronavirus clade 2 (SARS-CoV-2) in December 2019 and it is the causative agent of the novel human ... -
Gene Prioritization through Consensus Strategy, Enrichment Methodologies Analysis, and Networking for Osteosarcoma Pathogenesis
Cabrera-Andrade, Alejandro; López-Cortés, Andrés; Jaramillo-Koupermann, Gabriela; Paz-y-Miño, César; Pérez-Castillo, Yunierkis; Munteanu, Cristian-Robert; González-Díaz, Humberto; Pazos, A.; Tejera, Eduardo (M D P I AG, 2020-02-05)[Abstract] Osteosarcoma is the most common subtype of primary bone cancer, affecting mostly adolescents. In recent years, several studies have focused on elucidating the molecular mechanisms of this sarcoma; however, its ... -
Gene prioritization, communality analysis, networking and metabolic integrated pathway to better understand breast cancer pathogenesis
López-Cortés, Andrés; Paz-y-Miño, César; Cabrera-Andrade, Alejandro; Barigye, Stephen J.; Munteanu, Cristian-Robert; González-Díaz, Humberto; Pazos, A.; Pérez-Castillo, Yunierkis; Tejera, Eduardo (Nature, 2018-11-12)[Abstract] Consensus strategy was proved to be highly efficient in the recognition of gene-disease association. Therefore, the main objective of this study was to apply theoretical approaches to explore genes and communities ... -
In 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
López-Cortés, Andrés; Guevara-Ramírez, Patricia; Kyriakidis, Nikolaos C.; Barba-Ostria, Carlos; León Cáceres, Ángela; Guerrero, Santiago; Ortiz-Prado, Esteban; Munteanu, Cristian-Robert; Tejera, Eduardo; Cevallos-Robalino, Doménica; Gómez-Jaramillo, Ana María; Simbaña-Rivera, Katherine; Granizo-Martínez, Adriana; Pérez-M, Gabriela; Moreno, Silvana; García-Cárdenas, Jennyfer M.; Zambrano, Ana Karina; Pérez-Castillo, Yunierkis; Cabrera-Andrade, Alejandro; Puig San Andrés, Lourdes; Proaño-Castro, Carolina; Bautista, Jhommara; Quevedo, Andreina; Varela, Nelson; Quiñones, Luis Abel; Paz-y-Miño, César (Frontiers Research Foundation, 2021-02-26)[Abstract] Background: There is pressing urgency to identify therapeutic targets and drugs that allow treating COVID-19 patients effectively. Methods: We performed in silico analyses of immune system protein interactome ... -
OncoOmics approaches to reveal essential genes in breast cancer: a panoramic view from pathogenesis to precision medicine
López-Cortés, Andrés; Paz-y-Miño, César; Guerrero, Santiago; Cabrera-Andrade, Alejandro; Munteanu, Cristian-Robert; González-Díaz, Humberto; Pazos, A.; Pérez-Castillo, Yunierkis; Tejera, Eduardo; Barigye, Stephen J. (Springer Nature, 2020-03-24)[Abstract] Breast cancer (BC) is the leading cause of cancer-related death among women and the most commonly diagnosed cancer worldwide. Although in recent years large-scale efforts have focused on identifying new therapeutic ... -
Perturbation-Theory Machine Learning (PTML) Multilabel Model of the ChEMBL Dataset of Preclinical Assays for Antisarcoma Compounds
Cabrera-Andrade, Alejandro; López-Cortés, Andrés; Munteanu, Cristian-Robert; Pazos, A.; Pérez-Castillo, Yunierkis; Tejera, Eduardo; Arrasate, Sonia; González-Díaz, Humberto (American Chemical Society, 2020-10-14)[Abstract] Sarcomas are a group of malignant neoplasms of connective tissue with a different etiology than carcinomas. The efforts to discover new drugs with antisarcoma activity have generated large datasets of multiple ... -
Prediction of Breast Cancer Proteins Involved in Immunotherapy, Metastasis, and RNA-Binding Using Molecular Descriptors and Artifcial Neural Networks
López-Cortés, Andrés; Cabrera-Andrade, Alejandro; Vázquez-Naya, José; Pazos, A.; Gonzáles-Díaz, Humberto; Paz-y-Miño, César; Guerrero, Santiago; Pérez-Castillo, Yunierkis; Tejera, Eduardo; Munteanu, Cristian-Robert (Springer Nature, 2020-05-22)[Abstract] Breast cancer (BC) is a heterogeneous disease where genomic alterations, protein expression deregulation, signaling pathway alterations, hormone disruption, ethnicity and environmental determinants are involved. ... -
Priorización de genes y búsqueda de dianas terapéuticas por medio de herramientas informáticas y técnicas de aprendizaje automatizado en cáncer de mama
López-Cortés, Andrés (2021)[Resumen] El cáncer de mama (CM) es la principal causa de muerte relacionada a neoplasias en mujeres y es el tipo de cáncer más diagnosticado a nivel mundial. CM es una enfermedad heterogénea en donde están envueltos ... -
Unraveling druggable cancer-driving proteins and targeted drugs using artificial intelligence and multi-omics analyses
López-Cortés, Andrés; Cabrera-Andrade, Alejandro; Echeverría-Garcés, Gabriela; Echeverría-Espinoza, Paulina; Pineda-Albán, Micaela; Elsitdie, Nicole; Bueno-Miño, José; Cruz-Segundo, Carlos M.; Dorado, Julián; Pazos, A.; González-Díaz, Humberto; Pérez-Castillo, Yunierkis (Nature Research, 2024-08)[Abstract]: The druggable proteome refers to proteins that can bind to small molecules with appropriate chemical affinity, inducing a favorable clinical response. Predicting druggable proteins through screening and in ...