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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:scopusStochastic molecular descriptors for polymers. 4. Study of complex mixtures with topological indices of mass spectra spiral and star networks: The blood proteome case
ArticleAbstract: The Quantitative Structure-Property Relationships (QSPRs) based on Graph or Network Theory are imporPalabras claves:Biopolymers mixtures, complex networks, QSPRAutores:Borges F., Chou K.C., González‐díaz H., Maykel Cruz-Monteagudo, Munteanu C.R., Natalia Dias Soeiro Cordeiro M., Uriarte E.Fuentes: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:scopusDrugs Repurposing Using QSAR, Docking and Molecular Dynamics for Possible Inhibitors of the SARS-CoV-2 Mpro 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:googlescopusGene 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:scopusIn 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, Alexandra Patricia Guevara, 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, Pérez-M G., Proaño-Castro C., Quiñones L.A., SANTIAGO XAVIER GUERRERO JIJÓN, Varela N.M., Yunierkis Perez-CastilloFuentes:orcidscopusGrapho-numerical methods of relevance to bioinformatics. Applications in plant biotechnology and drug discovery
ArticleAbstract:Palabras claves:Autores:Alberto López Díaz, Aminael Sánchez-Rodríguez, Antunes A., Bolas-Fernández F., Chou K.C., de la Riva G.A., Dea-Ayuela M.A., Duardo-Sanchez A., Francisco J. Prado-Prado, Giovanna Delogu, Gisselle Pérez Machado, Grace Patlewicz, Guillermin Agüero Chapin, Hidalgo-Yanes P.I., Humberto González Díaz, Javier Varona Santos, Lázaro G. Pérez-Montoto, Maldonado E., Marchal K., Molina-Ruiz R., Morales-Helguera A., Munteanu C.R., Podda G., Santana L., Tomás González-Villa, Ubeira F.M., Uriarte E., Vazquez-Padron R.I., Vitor Vasconselos, Yennny González Díaz, Yunierkis Pérez CastilloFuentes:scopusPtml multi-label algorithms: Models, software, and applications
ReviewAbstract: By combining Machine Learning (ML) methods with Perturbation Theory (PT), it is possi-ble to developPalabras claves:Cheminformatics, Drug Discovery, Large data sets, Machine Learning, Multi-target models, perturbation theory, PTMLAutores:Arrasate S., Bediaga H., Bernabé Ortega-Tenezaca, Collados J., González‐díaz H., Madariaga G., Munteanu C.R., Natalia Dias Soeiro Cordeiro M., Quevedo‐tumailli V.Fuentes:scopus