| Bienvenido a CICESE
Datos Personales
Nombre:
Brizuela Rodríguez Carlos Alberto
Categoría:
INVESTIGADOR TITULAR
SNI:
INVESTIGADOR II
Departamento:
DEPARTAMENTO DE CIENCIAS DE LA COMPUTACIÓN
División:
DIVISIÓN DE FÍSICA APLICADA
Correo:
cbrizuel@cicese.mx
Extensión:
23428
Laboratorios
Biocomputación
Hay 56 publicaciones.

Año

Autores / Publicación

2023

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)

2023

Aguilera Mendoza, L., Ayala Ruano, S., Martinez Rios, F., Chávez González, E. L., García Jacas, C. R., Brizuela Rodríguez, C. A., & Marrero Ponce, Y. (2023). StarPep Toolbox: an open-source software to assist chemical space analysis of bioactive peptides and their functions using complex networks. BIOINFORMATICS. doi: 10.1093/bioinformatics/btad506. (ID: 28884)

2023

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)

2023

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)

2022

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)

2022

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)

2022

García Jacas, C. R., Pinacho Castellanos, S. A., García González, L. A., & Brizuela Rodríguez, C. A. (2022). Do deep learning models make a difference in the identification of antimicrobial peptides?. BRIEFINGS IN BIOINFORMATICS, 16. doi: 10.1093/bib/bbac094. (ID: 27757)

2022

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)

2022

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)

2022

von Lucken, C., Brizuela Rodríguez, C. A., & Barán Cegla, B. (2022). Clustering-based multipopulation approaches in MOEA/D for many-objective problems. COMPUTATIONAL OPTIMIZATION AND APPLICATIONS, 81, 789¿828. doi: 10.1007/s10589-022-00348-0. (ID: 28370)

2021

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)

2021

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)

2021

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)

2021

Pinacho Castellanos, S. A., García Jacas, C. R., Gilson, M. K., & Brizuela Rodríguez, C. A. (2021). Alignment-Free Antimicrobial Peptide Predictors: Improving Performance by a Thorough Analysis of the Largest Available Data Set. Journal of Chemical Information and Modeling, 61(6), 3141-3157. doi: 10.1021/acs.jcim.1c00251. (ID: 26953)

2020

Aguilera Mendoza, L., Marrero Ponce, Y., García Jacas, C. R., Chávez González, E. L., Beltrán Verdugo, J. A., Guillén Ramírez, H. A., & Brizuela Rodríguez, C. A. (2020). Automatic construction of molecular similarity networks for visual graph mining in chemical space of bioactive peptides: an unsupervised learning approach. Scientific Reports, 10, 18074. doi: 10.1038/s41598-020-75029-1. (ID: 26306)