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Alvaro Gargantilla Becerra
Alvaro Gargantilla Becerra
PhD, Spanish National Centre for Biotechnology
Verified email at cnb.csic.es
Title
Cited by
Cited by
Year
Computing within bacteria: Programming of bacterial behavior by means of a plasmid encoding a perceptron neural network
AG Becerra, M Gutiérrez, R Lahoz-Beltra
Biosystems 213, 104608, 2022
122022
A synthetic biology approach for the design of genetic algorithms with bacterial agents
Á Gargantilla Becerra, M Gutiérrez, R Lahoz-Beltra
International Journal of Parallel, Emergent and Distributed Systems 36 (3 …, 2021
72021
Highlighting the potential of Synechococcus elongatus PCC 7942 as platform to produce α-linolenic acid through an updated genome-scale metabolic modeling
M Santos-Merino, Á Gargantilla-Becerra, F de la Cruz, J Nogales
Frontiers in Microbiology 14, 1126030, 2023
62023
A microbial screening in silico method for the fitness step evaluation in evolutionary algorithms
A Gargantilla Becerra, R Lahoz-Beltra
Applied Sciences 10 (11), 3936, 2020
42020
A model-driven approach to upcycling recalcitrant feedstocks in Pseudomonas putida by decoupling PHA production from nutrient limitation
MT Manoli, Á Gargantilla-Becerra, C del Cerro Sánchez, V Rivero-Buceta, ...
Cell Reports 43 (4), 2024
2024
Data_Sheet_3_Highlighting the potential of Synechococcus elongatus PCC 7942 as platform to produce α-linolenic acid through an updated genome-scale metabolic modeling. ZIP
M Santos-Merino, Á Gargantilla-Becerra, F Cruz, J Nogales
Figshare, 2023
2023
Highlighting the potential of Synechococcus elongatus PCC 7942 as platform to produce¿-linolenic acid through an updated genome-scale metabolic modeling
M Santos-Merino, Á Gargantilla-Becerra, F Cruz, J Nogales
Frontiers Media, 2023
2023
Computing within bacteria: Programming of bacterial behavior by means of a plasmid encoding a perceptron neural network
A Gargantilla Becerra, M Gutiérrez, R Lahoz Beltrá
Elsevier, 2022
2022
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Articles 1–8