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Nombre: Brizuela Rodríguez ,  Carlos Alberto
Departamento: Ciencias de la Computación
División: Física Aplicada
Extensión: 00000

  • Guerrero Vázquez, K., Del Río, G., & Brizuela Rodríguez, C. A. (2023). Cell-penetrating peptides predictors: A comparative analysis of methods and datasets. Molecular Informatics, 42(11), e202300104. doi: 10.1002/minf.202300104. (ID: 29370)
  • García González, L. A., Marrero Ponce, Y., Brizuela Rodríguez, C. A., & García Jacas, C. R. (2023). Overproduce and select, or determine optimal molecular descriptor subset via configuration space optimization? Application to the prediction of ecotoxicological endpoints. Molecular Informatics, 42(6), e202200227. doi: 10.1002/minf.202200227. (ID: 29442)
  • Meléndrez Carballo, G., Guerrero Vázquez, K., García González, L. A., Del Río, G., & Brizuela Rodríguez, C. A. (2023). Embedded-AMP: A Multi-Thread Computational Method for the Systematic Identification of Antimicrobial Peptides Embedded in Proteome Sequences. Antibiotics, 12(1), 139. doi: 10.3390/antibiotics12010139. (ID: 29369)
  • García Jacas, C. R., García González, L. A., Martinez Rios, F., Tapia Contreras, I. P., & Brizuela Rodríguez, C. A. (2022). Handcrafted versus non-handcrafted (self-supervised) features for the classification of antimicrobial peptides: complementary or redundant?. BRIEFINGS IN BIOINFORMATICS. doi: 10.1093/bib/bbac428. (ID: 28018)
  • Del Río, G., Trejo Perez, M., & Brizuela Rodríguez, C. A. (2022). Antimicrobial peptides with cell-penetrating activity as prophylactic and treatment drugs. BIOSCIENCE REPORTS, 42(9), BSR20221789. doi: 10.1042/BSR20221789. (ID: 28365)
  • Valenzuela Alcaraz, V. M., Cosío León, M. Á., Romero Ocaño, A. D., & Brizuela Rodríguez, C. A. (2022). A cooperative coevolutionary algorithm approach to the no-wait job shop scheduling problem. Expert Systems with Applications, (194), 116498. doi: 10.1016/j.eswa.2022.116498. (ID: 28369)
  • Romero Ocaño, A. D., Cosío León, M. Á., Valenzuela Alcaraz, V. M., & Brizuela Rodríguez, C. A. (2022). The impact of gradually replacing fossil fuel-powered vehicles with electric ones: A bi-objective optimisation approach. Expert Systems with Applications, 194, 116546. doi: 10.1016/j.eswa.2022.116546. (ID: 28368)
  • Ricci López, J., Aguila, S., Gilson, M. K., & Brizuela Rodríguez, C. A. (2021). Improving structure-based virtual screening with ensemble docking and machine learning. Journal of Chemical Information and Modeling. doi: 10.1021/acs.jcim.1c00511. (ID: 27659)
  • Juárez Jiménez, J. A., Santos, C., & Brizuela Rodríguez, C. A. (2021). A Comprehensive Review and a Taxonomy Proposal of Team Formation Problems. ACM Computing Surveys, 54(7), 1-33. doi: 10.1145/3465399. (ID: 26925)
  • Gonzalez, M. R., Martinez Rosas, M. E., Cosío León, M. Á., Cervantes De Ávila, H., & Brizuela Rodríguez, C. A. (2021). Multiple circle detection in images: a simple evolutionary algorithm approach and a new benchmark of images. PATTERN ANALYSIS AND APPLICATIONS, 24, 1583-1603. doi: 10.1007/s10044-021-01007-6. (ID: 27661)
  • 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)
  • 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)
  • 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)
  • Colbes Sanabria, J. D., Corona de la Fuente, R. I., Lezcano Ríos, C., Rodríguez Uribe, D. O., & Brizuela Rodríguez, C. A. (2016). Protein side-chain packing problem: is there still room for improvement?. BRIEFINGS IN BIOINFORMATICS. doi: 10.1093/bib/bbw079. (ID: 20845)
  • von Lucken, C., Brizuela Rodríguez, C. A., & Barán Cegla, B. (2016). Experimental comparison of many-objective evolutionary preference-based methods in parallel framework. Journal of Computational Interdisciplanary Sciences, 7(1), 13-20. doi: 10.6062/jcis.2016.07.01.0103. (ID: 22381)
  • García Nájera, A., Brizuela Rodríguez, C. A., & Martínez Pérez, I. M. (2014). An efficient genetic algorithm for setup time minimization in PCB assembly. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY. doi: 10.1007/s00170-014-6510-3. (ID: 17805)
  • López Monzalvo, F., & Brizuela Rodríguez, C. A. (2014). An experimental analysis of the p-Median problem under uncertainty: an evolutionary algorithm approach. European Journal of Industrial Engineering, 8(4), 554-578. doi: 10.1504/EJIE.2014.064759. (ID: 16526)
  • Flores Granados, D. I., Sotelo Mundo, R., & Brizuela Rodríguez, C. A. (2014). A simple extension to the CMASA method for the prediction of catalytic residues in the presence of single point mutations. PLoS ONE, 9(9), e108513. doi: 10.1371/journal.pone.0108513. (ID: 17227)
  • von Lucken, C., Barán Cegla, B., & Brizuela Rodríguez, C. A. (2014). A survey on multi-objective evolutionary algorithms for many-objective problems. COMPUTATIONAL OPTIMIZATION AND APPLICATIONS, 58(3), 707-756. doi: 10.1007/s10589-014-9644-1. (ID: 17806)
  • Cervantes Salido, V. M., Jaime Solis, O., Brizuela Rodríguez, C. A., & Martínez Pérez, I. M. (2013). Improving the design of sequences for DNA computing: a multiobjective evolutionary approach. Applied Soft Computing, 13(12), 4594-4607. doi: 10.1016/j.asoc.2013.06.010. (ID: 15863)
  • Pinto Roa, D., Barán Cegla, B., & Brizuela Rodríguez, C. A. (2011). Routing and wavelength converter allocation in WDM networks: a multi-objective evolutionary optimization approach. Photonic Network Communications. doi: 10.1007/s11107-011-0304-4. (ID: 12466)
  • Panduro Mendoza, M. A., Brizuela Rodríguez, C. A., Balderas, L. I., & Acosta, D. A. (2009). A comparison of genetic algorithms, particle swarm optimization and the differential evolution method for the design of scannable circular antenna arrays. Progress In Electromagnetics Research B, 13, 171-186. doi: 10.2528/PIERB09011308. (ID: 13595) (E)
  • Brizuela Rodríguez, C. A., Rodríguez Zambrano, M., & Luna Taylor, J. E. (2007). Evolutionary computation techniques for two computational biology problems. In G. Romero, A. Méndez, M. Panduro and R. Domínguez. (Eds.), New Trends in Electronics Technology (pp. 111-118). Innovación Editorial Lagares. (ID: 11615)
  • Méndez Pérez, A. L., Covarrubias Rosales, D. H., & Brizuela Rodríguez, C. A. (2004). Fair scheduling with dynamic resource allocation in CDMA/GPS system for IP-multimedia wireless networks. Journal of Circuits, Systems and Computers, 13(2), 253-269. (ID: 6192)
  • Brizuela Rodríguez, C. A., & Sannomiya, N. (2001). Robustness and diversity in genetic algorithms for a complex combinatorial optimization problem. International Journal of Systems Science, 32(9), 1161-1168. (ID: 9242) (E)

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