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Pedro A Saa

Showing results (1-10 of 26) with videos related to

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Bioinformatics (Oxford, England)|May 7, 2016
ll-ACHRB: a scalable algorithm for sampling the feasible solution space of metabolic networksPedro A Saa, Lars K Nielsen
ACS Synthetic Biology|September 2, 2025
Complex Kinetic Models Predict β-Carotene Production and Reveal Flux Limitations in Recombinant <i>Saccharomyces cerevisiae</i> StrainsBenjamín R Elizondo, Pedro A Saa
Bioinformatics (Oxford, England)|August 26, 2016
Fast-SNP: a fast matrix pre-processing algorithm for efficient loopless flux optimization of metabolic modelsPedro A Saa, Lars K Nielsen
Biotechnology Advances|September 17, 2017
Formulation, construction and analysis of kinetic models of metabolism: A review of modelling frameworksPedro A Saa, Lars K Nielsen
Biochimica Et Biophysica Acta|January 2, 2016
A probabilistic framework for the exploration of enzymatic capabilities based on feasible kinetics and control analysisPedro A Saa, Lars K Nielsen
Scientific Reports|July 16, 2016
Construction of feasible and accurate kinetic models of metabolism: A Bayesian approachPedro A Saa, Lars K Nielsen
Computational and Structural Biotechnology Journal|December 18, 2020
Inferring composition and function of the human gut microbiome in time and space: A review of genome-scale metabolic modelling toolsÁlvaro Altamirano, Pedro A Saa, Daniel Garrido
Bioinformatics (Oxford, England)|November 19, 2024
Sensitivities in protein allocation models reveal distribution of metabolic capacity and flux controlSamira van den Bogaard, Pedro A Saa, Tobias B Alter
Microbiologyopen|January 17, 2020
Genomic integration of unclonable gene expression cassettes in Saccharomyces cerevisiae using rapid cloning-free workflowsVicente F Cataldo, Valeria Salgado, Pedro A Saa, et al.
Methods in Molecular Biology (Clifton, N.J.)|May 23, 2022
Metabolic Modeling of Wine Fermentation at Genome ScaleSebastián N Mendoza, Pedro A Saa, Bas Teusink, et al.
Pageof 3

Showing results (1-10 of 26) with videos related to

Sort By:
Pageof 3
Bioinformatics (Oxford, England)|May 7, 2016
ll-ACHRB: a scalable algorithm for sampling the feasible solution space of metabolic networksPedro A Saa, Lars K Nielsen
ACS Synthetic Biology|September 2, 2025
Complex Kinetic Models Predict β-Carotene Production and Reveal Flux Limitations in Recombinant <i>Saccharomyces cerevisiae</i> StrainsBenjamín R Elizondo, Pedro A Saa
Bioinformatics (Oxford, England)|August 26, 2016
Fast-SNP: a fast matrix pre-processing algorithm for efficient loopless flux optimization of metabolic modelsPedro A Saa, Lars K Nielsen
Biotechnology Advances|September 17, 2017
Formulation, construction and analysis of kinetic models of metabolism: A review of modelling frameworksPedro A Saa, Lars K Nielsen
Biochimica Et Biophysica Acta|January 2, 2016
A probabilistic framework for the exploration of enzymatic capabilities based on feasible kinetics and control analysisPedro A Saa, Lars K Nielsen
Scientific Reports|July 16, 2016
Construction of feasible and accurate kinetic models of metabolism: A Bayesian approachPedro A Saa, Lars K Nielsen
Computational and Structural Biotechnology Journal|December 18, 2020
Inferring composition and function of the human gut microbiome in time and space: A review of genome-scale metabolic modelling toolsÁlvaro Altamirano, Pedro A Saa, Daniel Garrido
Bioinformatics (Oxford, England)|November 19, 2024
Sensitivities in protein allocation models reveal distribution of metabolic capacity and flux controlSamira van den Bogaard, Pedro A Saa, Tobias B Alter
Microbiologyopen|January 17, 2020
Genomic integration of unclonable gene expression cassettes in Saccharomyces cerevisiae using rapid cloning-free workflowsVicente F Cataldo, Valeria Salgado, Pedro A Saa, et al.
Methods in Molecular Biology (Clifton, N.J.)|May 23, 2022
Metabolic Modeling of Wine Fermentation at Genome ScaleSebastián N Mendoza, Pedro A Saa, Bas Teusink, et al.
Pageof 3