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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:scopusA multi-objective approach for drug repurposing in preeclampsia
ArticleAbstract: Preeclampsia is a hypertensive disorder that occurs during pregnancy. It is a complex disease with uPalabras claves:Drugs repurposing, Machine Learning, Multi-objective models, PreeclampsiaAutores:Alejandro Cabrera-Andrade, Andrea Chamorro, Eduardo Tejera, Sánchez M.E., Yunierkis Perez-CastilloFuentes:scopusGenerative Adversarial Networks (GANs) Based Synthetic Sampling for Predictive Modeling
ArticleAbstract: In the present report we evaluate the possible utility of the Generative Adversarial Networks (GANs)Palabras claves:Data Sparsity, Dengue Virus, Generative Adversarial Network, Machine Learning, β-Secretase 1Autores:García-De La Vega J.M., Stephen Jones Barigye, Yunierkis Perez-CastilloFuentes:scopusLEGO-based generalized set of two linear algebraic 3D bio-macro-molecular descriptors: Theory and validation by QSARs
ArticleAbstract: Novel 3D protein descriptors based on bilinear, quadratic and linear algebraic maps in R<sup>n</sup>Palabras claves:3D protein descriptor, aggregation operator, Amino acid interaction, folding rate, Machine Learning, metrics, Normalization procedure, Protein structural classes, Two-linear algebraic formsAutores:César R. García-Jacas, Cubillan N., Ernesto Contreras-Torres, Julio E. Terán, Pérez-Giménez F., Valdés-Martiní J.R., Yovani Marrero-Ponce, Yunierkis Perez-CastilloFuentes:scopusProbing the hypothesis of SAR continuity restoration by the removal of activity cliffs generators in QSAR
ReviewAbstract: In this work we report the first attempt to study the effect of activity cliffs over the generalizatPalabras claves:Activity cliffs, Activity cliffs generators, chemoinformatics, Machine Learning, QSAR, virtual screeningAutores:Aminael Sánchez-Rodríguez, Borges F., Cesar Paz-y-Miño, Contreras-Posada Z., Eduardo Tejera, José L. Medina-Franco, Maykel Cruz-Monteagudo, Medina-Franco J.L., Natalia Dias Soeiro Cordeiro M., Perera-Sardiña Y., Yunierkis Perez-CastilloFuentes:googlescopusPrediction of compound-target interaction using several artificial intelligence algorithms and comparison with a consensus-based strategy
ArticleAbstract: For understanding a chemical compound’s mechanism of action and its side effects, as well as for druPalabras claves:Ligan-based modeling, Machine Learning, QSAR, Target fishing, Target identificationAutores:Eduardo Tejera, Karina Beatríz Jimenes-Vargas, Munteanu C.R., Sierra A.P., Yunierkis Perez-CastilloFuentes:scopus