Dr. Luis Antonio García González
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- Centro de Nanociencias y Nanotecnología
- Investigador Posdoctoral
- SNI -
- lgarciaag89@gmail.com
Java Developer, IA/ML expert
Luis Antonio García González has a PhD degree by the Ensenada Center for Scientific Research and Higher Education, Baja California, Mexico. In 2013 he obtained a Bachelor’s degree in Computer Science from Universidad de Oriente (UO), Cuba and in 2018 he obtained a Master’s degree in Computer Science from Universidad Central Marta Abreu de las Villas, Cuba. He has been able to teach different undergraduate and postgraduate courses on topics related to Object Oriented Programming, Compilation Techniques, Parallel Computing, Bioinformatics, Data Structure and Algorithms. His research has been related at the design and development of libraries and parallel workflows to perform bioinformatics studies. With is PhD research, he has proposed an algorithm to explore and optimise molecular descriptor configuration spaces (termed AExOp-DCS) to determine “optimal” sets of MDs according to the compounds and biological activities (properties) to be analyzed. This algorithm allows to determine molecular descriptors with high information contained and predictive power. Also, as developer he has been able to work coding high performance Spring boot microservices. He has participated in various international conferences and was guest professor at the Department of Computer Science at the Catholic University of Louvain, Belgium.
Publicaciones más relevantes
- García-González, L.A., Marrero-Ponce, Y., Brizuela, C.A. and Garcia-Jacas, C.(2023), Overproduce and select, or Determine Optimal Molecular Descriptor Subset via Configuration Space Optimization? Application to the Prediction of Ecotoxicological Endpoints. Mol. Inf.. https://doi.org/10.1002/minf.202200227
- Carballo GM, Vázquez KG, García-González LA, Rio GD, Brizuela CA. Embedded- AMP: A Multi-Thread Computational Method for the Systematic Identification of Antimicrobial Peptides Embedded in Proteome Sequences. Antibiotics. 2023; 12(1):139
- César R García-Jacas, Luis A García-González, Felix Martinez-Rios, Issac P Tapia- Contreras, Carlos A Brizuela, Handcrafted versus non-handcrafted (self-supervised) features for the classification of antimicrobial peptides: complementary or redundant?, Briefings in Bioinformatics, Volume 23, Issue 6, November 2022, bbac428
- César R García-Jacas, Sergio A Pinacho-Castellanos, Luis A García-González, Carlos A Brizuela, Do deep learning models make a difference in the identification of antimicrobial peptides?, Briefings in Bioinformatics, Volume 23, Issue 3, May 2022, bbac094
Clases impartidas referentes a la línea de investigación
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