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Miguel Angel Valderrama-Gomez
Miguel Angel Valderrama-Gomez
Sr. Data Scientist @ Amgen | TU Munich | UC Davis
Vahvistettu sähköpostiosoite verkkotunnuksessa amgen.com
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Viittaukset
Viittaukset
Vuosi
Molecular mechanisms driving switch behavior in xylem cell differentiation
GM Turco, J Rodriguez-Medina, S Siebert, D Han, ...
Cell reports 28 (2), 342-351. e4, 2019
902019
Application of theoretical methods to increase succinate production in engineered strains
MA Valderrama-Gomez, D Kreitmayer, S Wolf, A Marin-Sanguino, ...
Bioprocess and biosystems engineering 40, 479-497, 2017
172017
Phenotype-centric modeling for elucidation of biological design principles
MA Valderrama-Gómez, RE Parales, MA Savageau
Journal of theoretical biology, 2018
122018
Guidelines for extracting biologically relevant context-specific metabolic models using gene expression data
S Gopalakrishnan, CJ Joshi, MÁ Valderrama-Gómez, E Icten, P Rolandi, ...
Metabolic engineering 75, 181-191, 2023
92023
Mechanistic modeling of biochemical systems without a priori parameter values using the design space toolbox v. 3.0
MÁ Valderrama-Gómez, JG Lomnitz, RA Fasani, MA Savageau
Iscience 23 (6), 2020
92020
TaxisPy: A Python-based software for the quantitative analysis of bacterial chemotaxis
MÁ Valderrama-Gómez, RA Schomer, MA Savageau, RE Parales
Journal of Microbiological Methods 175, 105918, 2020
42020
COSMIC-dFBA: A novel multi-scale hybrid framework for bioprocess modeling
S Gopalakrishnan, W Johnson, MA Valderrama-Gomez, E Icten, J Tat, ...
Metabolic Engineering 82, 183-192, 2024
12024
Multi-omic characterization of antibody-producing CHO cell lines elucidates metabolic reprogramming and nutrient uptake bottlenecks
S Gopalakrishnan, W Johnson, MAV Gomez, E Icten, J Tat, F Lay, J Diep, ...
bioRxiv, 2023.09. 13.557626, 2023
12023
Phenotype-centric modeling for rational metabolic engineering
MÁ Valderrama-Gómez, MA Savageau
Metabolic Engineering 72, 365-375, 2022
12022
Molecular Systems Predict Equilibrium Distributions of Phenotype Diversity Available for Selection
MA Valderrama-Gómez, MA Savageau
bioRxiv, 2021.05. 27.446045, 2021
12021
Computer-guided metabolic engineering
MA Valderrama-Gomez, SG Wagner, A Kremling
Hydrocarbon and Lipid Microbiology Protocols: Synthetic and Systems Biology …, 2016
12016
COSMIC-dFBA: A Novel Dynamic Flux Balance Analysis Framework to Interface Reactor Conditions with Metabolism Using Machine Learning Methods
S Gopalakrishnan, W Johnson, MA Valderrama-Gomez, E Icten, ...
2023 AIChE Annual Meeting, 2023
2023
Multi-Omic Characterization of CHO Cells Reveals Fluxomic Diversity and Amino Acid Utilization Bottlenecks in High-producer Clones
S Gopalakrishnan, W Johnson, MA Valderrama-Gomez, E Icten, ...
2023 AIChE Annual Meeting, 2023
2023
An Industrial in silico Modeling Platform for Reliable, Efficient, and Agile Process & Product Development
F Schlegel, PA Rolandi, I Mirzaee, M Maritato, S Seifi, ...
2022 AIChE Annual Meeting, 2022
2022
Multi-Scale Modeling of a CHO Production Process Using Integrated Machine Learning Models and Genome-Scale Metabolic Models
S Gopalakrishnan, J Tat, MA Valderrama-Gomez, F Schlegel, PA Rolandi, ...
2022 AIChE Annual Meeting, 2022
2022
Predicting Antibody Titer Using Multi-Scale Dynamic Flux Balance Analysis Bioreactor Models
S Gopalakrishnan, J Tat, MA Valderrama-Gomez, F Schlegel, W Johnson, ...
2022 AIChE Annual Meeting, 2022
2022
Mechanistic Modeling of Biochemical Systems without A Priori Parameter Values Using the
MÁ Valderrama-Gómez, JG Lomnitz, RA Fasani
iScience, 23 (6), 2020
2020
Development of a Theoretical Workflow for Metabolic Engineering and its Application to Terpenoid Production in Escherichia coli
MA Valderrama Gomez
Technische Universität München, 2018
2018
Supplemental Material Phenotype-centric modeling for elucidation of biological design principles
MA Valderrama-Gómez, RE Parales, MA Savageau
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Artikkelit 1–19