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Tijana Radivojevic

Showing results (1-10 of 10) with videos related to

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ACS Synthetic Biology|July 20, 2019
Opportunities at the Intersection of Synthetic Biology, Machine Learning, and AutomationPablo Carbonell, Tijana Radivojevic, Héctor García Martín
Journal of Chemical Information and Modeling|July 20, 2022
MACAW: An Accessible Tool for Molecular Embedding and Inverse Molecular DesignVincent Blay, Tijana Radivojevic, Jonathan E Allen, et al.
Frontiers in Bioengineering and Biotechnology|February 26, 2021
Multiomics Data Collection, Visualization, and Utilization for Guiding Metabolic EngineeringSomtirtha Roy, Tijana Radivojevic, Mark Forrer, et al.
Plos Computational Biology|November 10, 2023
BayFlux: A Bayesian method to quantify metabolic Fluxes and their uncertainty at the genome scaleTyler W H Backman, Christina Schenk, Tijana Radivojevic, et al.
Nature Communications|September 26, 2020
Combining mechanistic and machine learning models for predictive engineering and optimization of tryptophan metabolismJie Zhang, Søren D Petersen, Tijana Radivojevic, et al.
Metabolic Engineering|November 22, 2020
Machine learning for metabolic engineering: A reviewChristopher E Lawson, Jose Manuel Martí, Tijana Radivojevic, et al.
Nature Communications|December 13, 2025
Automation and machine learning drive rapid optimization of isoprenol production in Pseudomonas putidaDavid N Carruthers, Patrick C Kinnunen, Yuerong Li, et al.
Current Opinion in Biotechnology|January 5, 2023
Perspectives for self-driving labs in synthetic biologyHector G Martin, Tijana Radivojevic, Jeremy Zucker, et al.
Communications Biology|May 13, 2025
Author Correction: Machine learning-led semi-automated medium optimization reveals salt as key for flaviolin production in Pseudomonas putidaApostolos Zournas, Matthew R Incha, Tijana Radivojevic, et al.
Communications Biology|April 18, 2025
Machine learning-led semi-automated medium optimization reveals salt as key for flaviolin production in Pseudomonas putidaApostolos Zournas, Matthew R Incha, Tijana Radivojevic, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
ACS Synthetic Biology|July 20, 2019
Opportunities at the Intersection of Synthetic Biology, Machine Learning, and AutomationPablo Carbonell, Tijana Radivojevic, Héctor García Martín
Journal of Chemical Information and Modeling|July 20, 2022
MACAW: An Accessible Tool for Molecular Embedding and Inverse Molecular DesignVincent Blay, Tijana Radivojevic, Jonathan E Allen, et al.
Frontiers in Bioengineering and Biotechnology|February 26, 2021
Multiomics Data Collection, Visualization, and Utilization for Guiding Metabolic EngineeringSomtirtha Roy, Tijana Radivojevic, Mark Forrer, et al.
Plos Computational Biology|November 10, 2023
BayFlux: A Bayesian method to quantify metabolic Fluxes and their uncertainty at the genome scaleTyler W H Backman, Christina Schenk, Tijana Radivojevic, et al.
Nature Communications|September 26, 2020
Combining mechanistic and machine learning models for predictive engineering and optimization of tryptophan metabolismJie Zhang, Søren D Petersen, Tijana Radivojevic, et al.
Metabolic Engineering|November 22, 2020
Machine learning for metabolic engineering: A reviewChristopher E Lawson, Jose Manuel Martí, Tijana Radivojevic, et al.
Nature Communications|December 13, 2025
Automation and machine learning drive rapid optimization of isoprenol production in Pseudomonas putidaDavid N Carruthers, Patrick C Kinnunen, Yuerong Li, et al.
Current Opinion in Biotechnology|January 5, 2023
Perspectives for self-driving labs in synthetic biologyHector G Martin, Tijana Radivojevic, Jeremy Zucker, et al.
Communications Biology|May 13, 2025
Author Correction: Machine learning-led semi-automated medium optimization reveals salt as key for flaviolin production in Pseudomonas putidaApostolos Zournas, Matthew R Incha, Tijana Radivojevic, et al.
Communications Biology|April 18, 2025
Machine learning-led semi-automated medium optimization reveals salt as key for flaviolin production in Pseudomonas putidaApostolos Zournas, Matthew R Incha, Tijana Radivojevic, et al.
Pageof 1