Centro de Investigación Científica y de Educación Superior de Ensenada, Baja California
Año
Autores / Publicación
Nava Lara, R., Beltrán Verdugo, J. A., Brizuela Rodríguez, C. A., & Del Río, G. (2020). Relevant Features of Polypharmacologic Human-Target Antimicrobials Discovered by Machine-Learning Techniques. Pharmaceuticals, 13(9), 204. doi: 10.3390/ph13090204. (ID: 26347)
Beltrán Verdugo, J. A., Del Río, G., & Brizuela Rodríguez, C. A. (2020). An automatic representation of peptides for effective antimicrobial activity classification. Computational and Structural Biotechnology Journal, 18, 455-463. doi: 10.1016/j.csbj.2020.02.002. (ID: 26350)
Brizuela Rodríguez, C. A., & Juárez Jiménez, J. A. (2019). Optimización Evolutiva Multi-objetivo. In Carlos A. Coello Coello (Eds.), Computación Evolutiva (pp. 177-217). Academia Mexicana de Computación. (ID: 26546)
Aguilera Mendoza, L., Beltrán Verdugo, J. A., Guillén Ramírez, H. A., Marrero Ponce, Y., Tellez Ibarra, R., & Brizuela Rodríguez, C. A. (2019). Graph-based data integration from bioactive peptide databases of pharmaceutical interest: toward an organized collection enabling visual network analysis. BIOINFORMATICS, 35(55), 4739-4747. doi: 10.1093/bioinformatics/btz260. (ID: 25449)
Contreras Torres, E., Marrero Ponce, Y., Teran, J., García Jacas, C. R., Brizuela Rodríguez, C. A., & Sanchez Rodriguez, J. C. (2019). MuLiMs-MCoMPAs: A Novel Multiplatform Framework to Compute Tensor Algebra-Based Three-Dimensional Protein Descriptors. Journal of Chemical Information and Modeling. doi: 10.1021/acs.jcim.9b00629. (ID: 25457)
García Jacas, C. R., Marrero Ponce, Y., Brizuela Rodríguez, C. A., Suárez Lezcano, J., & Martinez Rios, F. (2019). Smoothed Spherical Truncation based on Fuzzy Membership Functions: Application to the Molecular Encoding. JOURNAL OF COMPUTATIONAL CHEMISTRY, 41(3), 203-217. doi: 10.1002/jcc.26089. (ID: 25402)
Nava Lara, R., Aguilera Mendoza, L., Brizuela Rodríguez, C. A., Peña, A., & Del Río, G. (2019). Heterologous Machine Learning for the Identification of Antimicrobial Activity in Human-Targeted Drugs. MOLECULES, 24(1258). doi: 10.3390/molecules24071258. (ID: 25452)
Ricci López, J., Vidal Limon, A., Matias Zunñiga, V., Alderete Jimenez, J., Brizuela Rodríguez, C. A., & Aguila, S. (2019). Molecular modeling simulation studies reveal new potential inhibitors against HPV E6 protein. PLoS ONE. doi: 10.1371/journal.pone.0213028. (ID: 25450)
Romero Ocaño, A. D., Brizuela Rodríguez, C. A., Valenzuela Alcaraz, V. M., & Cosío León, M. Á. (2019). Comparación de los algoritmos NSGA-II y MOEA/D en la solución del problema de rutas de vehículos eléctricos con ventanas de tiempo y estaciones de recarga. In M. López Acosta, M. Cedillo Campos, J. Velarde Cantú, A. Bueno Solano, E. Lagarda Leyva (Eds.), Gestión en la Cadena de Suministro: Aplicaciones en Latinoamérica (pp. 17-34). Pearson. (ID: 26544)
Beltrán Verdugo, J. A., Aguilera Mendoza, L., & Brizuela Rodríguez, C. A. (2018). Optimal selection of molecular descriptors for antimicrobial peptides classification: An evolutionary feature weighting approach. BMC GENOMICS, 19(7), 672. doi: 10.1186/s12864-018-5030-1. (ID: 23884)
von Lucken, C., Brizuela Rodríguez, C. A., & Barán Cegla, B. (2018). An overview on evolutionary algorithms for many-objective optimization problems. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery. doi: 10.1002/widm.1267. (ID: 23748)
Zatarain Aceves, H., Fernández Zepeda, J. A., & Brizuela Rodríguez, C. A. (2018). The Maximum Uniform Message Distribution Problem. IEEE Access. doi: 10.1109/ACCESS.2018.2837624. (ID: 23687)
Juárez Jiménez, J. A., Brizuela Rodríguez, C. A., & Martínez Pérez, I. M. (2018). An Evolutionary Multi-objective Optimization Algorithm for the Routing of Droplets in Digital Microfluidic Biochips. Information Sciences, 429, 130-146. (ID: 23019)
Colbes Sanabria, J. D., Brizuela Rodríguez, C. A., & Aguila, S. (2018). Scoring of Side-Chain Packings: An Analysis of Weight Factors and Molecular Dynamics Structures. Journal of Chemical Information and Modeling, 58(2), 443-452. doi: 10.1021/acs.jcim.7b00679. (ID: 23688)
Corral Corral, R., Beltrán Verdugo, J. A., Brizuela Rodríguez, C. A., & Del Río, G. (2017). Systematic identification of machine-learning models aimed to classify critical residues for protein function from protein structure. MOLECULES, 22(10), 1673. doi: 10.3390/molecules22101673. (ID: 23018)