CLIR Lab

Epitopes, also know as antigenic peptides, refers to a region in the proteins that generates an immune system activation. A peptide is a small amino acids chain. Given his structure, epitopes classify between two types: linear and nonlinear.
This project focuses on the detection of linear epitopes, that are composed of a continuum section of the amino acids chain that make up the protein.Classify B cell epitopes could boost the process of designing new vaccines.

Maestría en Ciencias de la Computación

La Facultad de Matemáticas de la UADY te invita a continuar tus estudios de posgrado en nuestro programa académico de Maestría en Ciencias de la Computación.

El proceso de ingreso 2025 estará abierto hasta el 11 de abril.

Pueden encontrar toda la información en https://tinyurl.com/25x9nvs9 o solicitarla a [email protected]

También te invitamos a participar en la plática informativa que se llevará a cabo el día lunes 10 de marzo a las 18:00 horas.

CLIR Lab members participated on the 5th International Symposium on Intelligent Computing Systems - ISICS 2024, held in Dubai, United Arab Emirates on November 6, with the paper entitled "Convolutional Neural Networks for the Classification of Comet Assay Cells" by I. Rizo-Blanco, A. Martin-Gonzalez, C. Brito-Loeza, Legarda-Saenz, Espinosa Romero, L. Lafon-Hughes from Computational Learning and Imaging Research, Universidad Autónoma de Yucatán, Mexico and CENUR LN, Universidad de la República, Uruguay.

https://isics.cedai.cl/2024/

Yucatan boasts a diverse array of melliferous plant species, resulting in high-demand honey internationally. Accurate analysis of honey's pollen grains is crucial for quality assessment and plant origin identification, traditionally conducted by skilled palynologists. This study introduces an enhanced model, employing a fully convolutional neural network, to automate pollen grain detection in microscopic images of four Yucatan plant species. The aim is to aid in the analysis of honey's origin designation.

Miguel Ángel Canul-Chin, Yolanda Beatriz Moguel-Ordóñez, Anabel Martin-Gonzalez, Carlos Brito-Loeza, and Ricardo Legarda-Saenz.