scholarly article | Q13442814 |
P50 | author | B Tidor | Q67689738 |
Daniel Machado | Q41046566 | ||
Isabel Rocha | Q47449076 | ||
Eugénio C. Ferreira | Q47449085 | ||
P2093 | author name string | Rafael S Costa | |
P2860 | cites work | Dynamic metabolic flux analysis (DMFA): a framework for determining fluxes at metabolic non-steady state | Q51518128 |
In vivo analysis of metabolic dynamics in Saccharomyces cerevisiae: II. Mathematical model | Q52257228 | ||
Efficient Monte Carlo Procedures for Generating Points Uniformly Distributed over Bounded Regions | Q56172085 | ||
SABIO-RK: a database for biochemical reactions and their kinetics | Q59654922 | ||
Metabolic engineering | Q77223941 | ||
Metabolic flux balance analysis and the in silico analysis of Escherichia coli K-12 gene deletions | Q21284379 | ||
BRENDA, enzyme data and metabolic information | Q24548428 | ||
Hybrid dynamic/static method for large-scale simulation of metabolism | Q24815754 | ||
BioModels Database: a free, centralized database of curated, published, quantitative kinetic models of biochemical and cellular systems | Q25255639 | ||
Evolutionary programming as a platform for in silico metabolic engineering | Q25257616 | ||
Analysis of optimality in natural and perturbed metabolic networks | Q28213254 | ||
OptFlux: an open-source software platform for in silico metabolic engineering | Q28280084 | ||
Matrix formalism to describe functional states of transcriptional regulatory systems | Q28469032 | ||
Regulatory on/off minimization of metabolic flux changes after genetic perturbations | Q28769658 | ||
Escherichia coli K-12 undergoes adaptive evolution to achieve in silico predicted optimal growth | Q29397612 | ||
Systems biology: a brief overview | Q29547514 | ||
Optknock: a bilevel programming framework for identifying gene knockout strategies for microbial strain optimization | Q29616020 | ||
Reconciliation of genome-scale metabolic reconstructions for comparative systems analysis | Q30432712 | ||
Dynamic analysis of integrated signaling, metabolic, and regulatory networks | Q30441717 | ||
Including metabolite concentrations into flux balance analysis: thermodynamic realizability as a constraint on flux distributions in metabolic networks | Q33286434 | ||
Towards a genome-scale kinetic model of cellular metabolism | Q33527111 | ||
13C metabolic flux analysis | Q34084355 | ||
Energy balance for analysis of complex metabolic networks | Q34178210 | ||
Ensemble modeling of metabolic networks | Q37008279 | ||
Stoichiometric flux balance models quantitatively predict growth and metabolic by-product secretion in wild-type Escherichia coli W3110. | Q39916365 | ||
Mass action stoichiometric simulation models: incorporating kinetics and regulation into stoichiometric models | Q42934732 | ||
A dynamic, genome-scale flux model of Lactococcus lactis to increase specific recombinant protein expression | Q43830640 | ||
Reducing the allowable kinetic space by constructing ensemble of dynamic models with the same steady-state flux. | Q43886395 | ||
Constraints-based models: regulation of gene expression reduces the steady-state solution space | Q45211444 | ||
Monte Carlo sampling can be used to determine the size and shape of the steady-state flux space | Q47417801 | ||
Dynamic modeling of the central carbon metabolism of Escherichia coli | Q50970929 | ||
P433 | issue | 2 | |
P304 | page(s) | 112-119 | |
P577 | publication date | 2012-01-28 | |
P1433 | published in | Metabolic Engineering | Q6822334 |
P1476 | title | Exploring the gap between dynamic and constraint-based models of metabolism | |
P478 | volume | 14 |
Q55402486 | A Constraint-Based Model Analysis of Enterocyte Mitochondrial Adaptation to Dietary Interventions of Lipid Type and Lipid Load. |
Q38817911 | Computational Model Predicts the Effects of Targeting Cellular Metabolism in Pancreatic Cancer |
Q38579075 | Constructing kinetic models of metabolism at genome-scales: A review |
Q38053353 | Elementary Mode Analysis: A Useful Metabolic Pathway Analysis Tool for Reprograming Microbial Metabolic Pathways |
Q28083571 | In Silico Constraint-Based Strain Optimization Methods: the Quest for Optimal Cell Factories |
Q57176910 | In Silico Prediction of Large-Scale Microbial Production Performance: Constraints for Getting Proper Data-Driven Models |
Q108126729 | MASSpy: Building, simulating, and visualizing dynamic biological models in Python using mass action kinetics |
Q27144251 | Metabolomics and systems pharmacology: why and how to model the human metabolic network for drug discovery |
Q40393458 | Modeling the Contribution of Allosteric Regulation for Flux Control in the Central Carbon Metabolism of E. coli |
Q45943114 | Optimization of Multi-Omic Genome-Scale Models: Methodologies, Hands-on Tutorial, and Perspectives. |
Q45292349 | Optimization-driven identification of genetic perturbations accelerates the convergence of model parameters in ensemble modeling of metabolic networks |
Q43019726 | The stimulatory effect of mannitol on levan biosynthesis: Lessons from metabolic systems analysis of Halomonas smyrnensis AAD6(T.). |
Q34341551 | Understanding regulation of metabolism through feasibility analysis. |
Search more.