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Current Pharmaceutical Design(1)
Molecular Pharmaceutics(1)
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Proceedings - 2020 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2020(1)
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A Representation Method for Cellular Lines based on SVM and Text Mining
Conference ObjectAbstract: One important problem in Bioinformatics is the discovery of new interactions between cellular linesPalabras claves:bioinformatics, Machine learning, TEXT MININGAutores:Dutra I., Eduardo Tejera, Iván Carrera IzurietaFuentes:googlescopusA 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:scopusMultioutput Perturbation-Theory Machine Learning (PTML) Model of ChEMBL Data for Antiretroviral Compounds
ArticleAbstract: Retroviral infections, such as HIV, are, until now, diseases with no cure. Medicine and pharmaceuticPalabras claves:antiretroviral compounds, BIG DATA, CHEMBL, Machine learning, perturbation theoryAutores:Eduardo Tejera, Emilia Vásquez-Domínguez, González‐díaz H., Vinicio Danilo Armijos-JaramilloFuentes:googlescopusRepresenting Cellular Lines with SVM and Text Processing
Conference ObjectAbstract: A main problem for pbkp_redicting cell line interactions with chemical compounds is the lack of a coPalabras claves:bioinformatics, Knowledge Representation, Machine learningAutores:Dutra I., Eduardo Tejera, Iván Carrera IzurietaFuentes:googlescopusProbing 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, Maykel Cruz-Monteagudo, Medina-Franco J.L., Natalia Dias Soeiro Cordeiro M., Perera-Sardiña Y., Yunierkis Perez-CastilloFuentes:googlescopus