PEDRO SAA HIGUERA | Ingeniería UC

Roman L., Melis-Arcos F., Proschle T., Saa P., Garrido D. (2024)

Genome-scale metabolic modeling of the human milk oligosaccharide utilization by Bifidobacterium longum subsp. infantis

mSystems 9 3

Saa P., Zapararte S., Drovandi C., Nielsen L. (2024)

LooplessFluxSampler: an efficient toolbox for sampling the loopless flux solution space of metabolic models

BMC BIOINFORMATICS 25 1

Matos M., Saa P., Cowie N., Volkova S., De Leeuw M., Nielsen L. (2022)

GRASP: A computational platform for building kinetic models of cell metabolism

Bioinformatics Advances

Hirmas B., Gasaly N., Orellana G., Vega-Sagardía M., Saa P., Gotteland M., Garrido D. (2022)

Metabolic Modeling and Bidirectional Culturing of Two Gut Microbes Reveal Cross-Feeding Interactions and Protective Effects on Intestinal Cells

mSystems 8

Mendoza, S.N., Saa, P.A., Teusink, B., Agosin, E. (2022). Metabolic Modeling of Wine Fermentation at Genome Scale. In: Cortassa, S., Aon, M.A. (eds) Computational Systems Biology in Medicine and Biotechnology. Methods in Molecular Biology, vol 2399. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-1831-8_16 (2022)

Metabolic modelling of wine fermentation at genome scale

Computational Systems Biology in Medicine and Biotechnology 395454

Saa P.A. (2022) Rational Metabolic Pathway PredictionDesign: Computational ToolsTheir Applications for Yeast Systems and Synthetic Biology. In: Darvishi Harzevili F. (eds) Synthetic Biology of Yeasts. Springer, Cham. https://doi.org/10.1007/978-3-030-89680-5_1 (2022)

Rational Metabolic Pathway Prediction and Design: Computational Tools and Their Applications for Yeast Systems and Synthetic Biology

Synthetic Biology of Yeast 3-25

Martínez V., Saa P., Jooste J., Tiwari K., Quek L.E., Nielsen L. (2022)

The topology of genome-scale metabolic reconstructions unravels independent modules and high network flexibility

PLOS Computational Biology 18 6 e1010203

Bázaga-Martell L., Duarte-Mermoud M., Ibáñez-Espinel F., Gamboa-Labbé B., Saa P., Pérez-Correa J.R. (2021)

A robust hybrid observer for monitoring high-cell density cultures exhibiting overflow metabolism

Journal of Process Control 104 112-125

Saa P., Urrutia A., Silva-Andrade C., Martín A.J., Garrido D. (2021)

Modeling Approaches for Probing Cross-Feeding Interactions in the Human Gut Microbiome

Computational and Structural Biotechnology Journal

Eyheramendy S., Saa P., Undurraga E.A., Valencia C., López C., Méndez L., Pizarro-Berdichevsky J., Finkelstein-Kulka A., Solari S., Salas N., Bahamondes P., Ugarte M., Barceló P., Arenas M., Agosin E. (2021)

Screening of COVID-19 cases through a Bayesian network symptoms model and psychophysical olfactory test

iScience

Ibáñez F., Saa P., Bárzaga L., Duarte M., Fernández M., Agosin E., Pérez-Correa J.R. (2021)

Simulation-based assessment of probing and model-based control strategies for robust operation of high-cell density cultures in fed-batch mode

Computers & Chemical Engineering 107545

López J., Bustos D., Conrado C., Arenas N., Saa P. Agosín E. (2020)

Engineering Saccharomyces cerevisiae for the overproduction of ?-ionone and its precursor ?-carotene

Frontiers in Bioengineering and Biotechnology 8 Article 578793

Cataldo V.F., Salgado V., Saa P.A., Agosín E. (2020)

Genomic integration of unclonable gene expression cassettes in Saccharomyces cerevisiae using rapid cloning-free workflows

MicrobiologyOpen e978 9

Altamirano A., Saa P., Garrido D. (2020)

Inferring composition and function of the human gut microbiome in time and space: A review of genome-scale metabolic modelling tools

Computational and Structural Biotechnology Journal In press

Lopez J., Catado V.F., Peña M., Saa P.A., Saitua F., Ibaceta M., Agosin E. (2019)

Build Your Bioprocess on a Solid Strainβ-Carotene Production in Recombinant Saccharomyces cerevisiae

Frontiers in Bioengineering and Biotechnology 7 171

Torres, P., Saa, P.A., Albiol, J., Ferrer, P., Agosin, E., Contextualizedgenome-scale model unveils high-order metabolic effects of the specific growth rate and oxygenationlevel in recombinant Pichia pastoris, Metabolic Engineering Communications (2019), doi: https://doi.org/10.1016/j.mec.2019.e00103. (2019)

Contextualized genome-scale model unveils high-order metabolic effects of the specific growth rate and oxygenation level in recombinant Pichia pastoris

Metabolic Engineering Communications e00103

Saa P, Cortés M, López J, Bustos D, Maass A, Agosin E. (2019)

Expanding metabolic capabilities through novel pathway designs: computational tools and case studies

Biotechnology Journal 1800734

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