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 | 12 | 2022 |
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 | 7 | 2021 |
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 | 6 | 2023 |
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 | 4 | 2020 |
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 |