Minimizing the number of optimizations for efficient community dynamic flux balance analysis
Published 2020 View Full Article
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Title
Minimizing the number of optimizations for efficient community dynamic flux balance analysis
Authors
Keywords
Optimization, Metabolites, Simulation and modeling, Dynamical systems, Cell metabolism, Algorithms, Linear programming, Stoichiometry
Journal
PLoS Computational Biology
Volume 16, Issue 9, Pages e1007786
Publisher
Public Library of Science (PLoS)
Online
2020-09-30
DOI
10.1371/journal.pcbi.1007786
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Note: Only part of the references are listed.- Emergent Subpopulation Behavior Uncovered with a Community Dynamic Metabolic Model of Escherichia coli Diauxic Growth
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- (2019) Benedict Borer et al. PLoS Computational Biology
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- (2019) J. D. Brunner et al. Journal of the Royal Society Interface
- Metabolic Modeling Elucidates the Transactions in the Rumen Microbiome and the Shifts Upon Virome Interactions
- (2019) Mohammad Mazharul Islam et al. Frontiers in Microbiology
- Diversity, Stability, and Reproducibility in Stochastically Assembled Microbial Ecosystems
- (2018) Akshit Goyal et al. PHYSICAL REVIEW LETTERS
- COBRAme: A computational framework for genome-scale models of metabolism and gene expression
- (2018) Colton J. Lloyd et al. PLoS Computational Biology
- Modeling microbial communities from atrazine contaminated soils promotes the development of biostimulation solutions
- (2018) Xihui Xu et al. ISME Journal
- Microbiota-driven interleukin-17-producing cells and eosinophils synergize to accelerate multiple myeloma progression
- (2018) Arianna Calcinotto et al. Nature Communications
- Distinct microbes, metabolites, and ecologies define the microbiome in deficient and proficient mismatch repair colorectal cancers
- (2018) Vanessa L. Hale et al. Genome Medicine
- Metabolic Trade-Offs Promote Diversity in a Model Ecosystem
- (2017) Anna Posfai et al. PHYSICAL REVIEW LETTERS
- Global metabolic interaction network of the human gut microbiota for context-specific community-scale analysis
- (2017) Jaeyun Sung et al. Nature Communications
- Lotka-Volterra pairwise modeling fails to capture diverse pairwise microbial interactions
- (2017) Babak Momeni et al. eLife
- Community structure follows simple assembly rules in microbial microcosms
- (2017) Jonathan Friedman et al. Nature Ecology & Evolution
- MMinte: an application for predicting metabolic interactions among the microbial species in a community
- (2016) Helena Mendes-Soares et al. BMC BIOINFORMATICS
- Tumour-associated and non-tumour-associated microbiota in colorectal cancer
- (2016) Burkhardt Flemer et al. GUT
- Constraint-based stoichiometric modelling from single organisms to microbial communities
- (2016) Willi Gottstein et al. Journal of the Royal Society Interface
- Improvements to PATRIC, the all-bacterial Bioinformatics Database and Analysis Resource Center
- (2016) Alice R. Wattam et al. NUCLEIC ACIDS RESEARCH
- BiGG Models: A platform for integrating, standardizing and sharing genome-scale models
- (2015) Zachary A. King et al. NUCLEIC ACIDS RESEARCH
- Calibration and analysis of genome-based models for microbial ecology
- (2015) Stilianos Louca et al. eLife
- Individualized medicine and the microbiome in reproductive tract
- (2015) Andrea G. Braundmeier et al. Frontiers in Physiology
- DFBAlab: a fast and reliable MATLAB code for dynamic flux balance analysis
- (2014) Jose A Gomez et al. BMC BIOINFORMATICS
- Dynamic flux balance analysis for synthetic microbial communities
- (2014) Michael A. Henson et al. IET Systems Biology
- Constraint-based models predict metabolic and associated cellular functions
- (2014) Aarash Bordbar et al. NATURE REVIEWS GENETICS
- Identifying Keystone Species in the Human Gut Microbiome from Metagenomic Timeseries Using Sparse Linear Regression
- (2014) Charles K. Fisher et al. PLoS One
- DRUM: A New Framework for Metabolic Modeling under Non-Balanced Growth. Application to the Carbon Metabolism of Unicellular Microalgae
- (2014) Caroline Baroukh et al. PLoS One
- d-OptCom: Dynamic Multi-level and Multi-objective Metabolic Modeling of Microbial Communities
- (2014) Ali R. Zomorrodi et al. ACS Synthetic Biology
- Metabolic Resource Allocation in Individual Microbes Determines Ecosystem Interactions and Spatial Dynamics
- (2014) William R. Harcombe et al. Cell Reports
- Mathematical Modeling of Microbial Community Dynamics: A Methodological Review
- (2014) Hyun-Seob Song et al. Processes
- Microbiota-liberated host sugars facilitate post-antibiotic expansion of enteric pathogens
- (2013) Katharine M. Ng et al. NATURE
- Genome-scale metabolic reconstructions of multiple Escherichia coli strains highlight strain-specific adaptations to nutritional environments
- (2013) J. M. Monk et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Ecological Modeling from Time-Series Inference: Insight into Dynamics and Stability of Intestinal Microbiota
- (2013) Richard R. Stein et al. PLoS Computational Biology
- The design of long-term effective uranium bioremediation strategy using a community metabolic model
- (2012) K. Zhuang et al. BIOTECHNOLOGY AND BIOENGINEERING
- A reliable simulator for dynamic flux balance analysis
- (2012) K. Höffner et al. BIOTECHNOLOGY AND BIOENGINEERING
- Development of microbial cell factories for bio-refinery through synthetic bioengineering
- (2012) Akihiko Kondo et al. JOURNAL OF BIOTECHNOLOGY
- Constraining the metabolic genotype–phenotype relationship using a phylogeny of in silico methods
- (2012) Nathan E. Lewis et al. NATURE REVIEWS MICROBIOLOGY
- Genome-scale dynamic modeling of the competition between Rhodoferax and Geobacter in anoxic subsurface environments
- (2010) Kai Zhuang et al. ISME Journal
- The fundamental theorem of linear programming: extensions and applications
- (2010) F. Tardella OPTIMIZATION
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