A Machine Learning Approach for Efficient Selection of Enzyme Concentrations and Its Application for Flux Optimization
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Cédric Damour | Nicolas K. Fontaine | Frédéric Cadet | Bernard Offmann | Anamya Ajjolli Nagaraja | Philippe Charton | Xavier F. Cadet | Mathieu Delsaut | Birgit Wiltschi | Alena Voit | Brigitte Grondin-Perez | Mathieu Delsaut | B. Offmann | F. Cadet | B. Wiltschi | C. Damour | B. Grondin-Perez | Philippe Charton | Nicola Fontaine | Alena Voit | Anamya Ajjolli Nagaraja | M. Delsaut
[1] Nicolas Fontaine,et al. Flux prediction using artificial neural network (ANN) for the upper part of glycolysis , 2019, PloS one.
[2] Kristala L. J. Prather,et al. Dynamic pathway regulation: recent advances and methods of construction. , 2017, Current opinion in chemical biology.
[3] Neil Swainston,et al. Selenzyme: enzyme selection tool for pathway design , 2017, bioRxiv.
[4] Long Liu,et al. Protein and metabolic engineering for the production of organic acids. , 2017, Bioresource technology.
[5] Daniel N. Wilson,et al. Proline-rich antimicrobial peptides targeting protein synthesis. , 2017, Natural product reports.
[6] Yuan Lu. Cell-free synthetic biology: Engineering in an open world , 2017, Synthetic and systems biotechnology.
[7] Liming Liu,et al. Engineering rTCA pathway and C4-dicarboxylate transporter for l-malic acid production , 2017, Applied Microbiology and Biotechnology.
[8] Matthew K. Theisen,et al. Industrial Biotechnology: Escherichia coli as a Host , 2016 .
[9] J. Mayer,et al. Chemical synthesis of peptides within the insulin superfamily , 2016, Journal of peptide science : an official publication of the European Peptide Society.
[10] Scott Calabrese Barton,et al. Substrate channelling as an approach to cascade reactions. , 2016, Nature chemistry.
[11] Y. Zhang,et al. Production of biofuels and biochemicals by in vitro synthetic biosystems: Opportunities and challenges. , 2015, Biotechnology advances.
[12] Shangtian Yang,et al. Metabolic and process engineering of Clostridium cellulovorans for biofuel production from cellulose. , 2015, Metabolic engineering.
[13] Francisco Bolívar,et al. Shikimic Acid Production in Escherichia coli: From Classical Metabolic Engineering Strategies to Omics Applied to Improve Its Production , 2015, Front. Bioeng. Biotechnol..
[14] Zhou-Ran Lan,et al. Optimization of Culture Medium for Maximal Production of Spinosad Using an Artificial Neural Network - Genetic Algorithm Modeling , 2015, Journal of Molecular Microbiology and Biotechnology.
[15] Frédéric Cadet,et al. Modeling of a Cell-Free Synthetic System for Biohydrogen Production , 2015 .
[16] H. Hojo. Recent progress in the chemical synthesis of proteins. , 2014, Current opinion in structural biology.
[17] Jiangang Yang,et al. Metabolic engineering of Escherichia coli and in silico comparing of carboxylation pathways for high succinate productivity under aerobic conditions. , 2014, Microbiological research.
[18] Muhammad Wajid Ullah,et al. Yeast cell-free enzyme system for bio-ethanol production at elevated temperatures , 2014 .
[19] Jiayuan Sheng,et al. Reconstitution of the peptidoglycan cytoplasmic precursor biosynthetic pathway in cell-free system and rapid screening of antisense oligonucleotides for Mur enzymes , 2014, Applied Microbiology and Biotechnology.
[20] Dong In Kim,et al. Metabolic engineering of Escherichia coli for the production of fumaric acid , 2013, Biotechnology and bioengineering.
[21] Bradley Charles Bundy,et al. Streamlined extract preparation for Escherichia coli-based cell-free protein synthesis by sonication or bead vortex mixing. , 2012, BioTechniques.
[22] Jeong Wook Lee,et al. Systems metabolic engineering of microorganisms for natural and non-natural chemicals. , 2012, Nature chemical biology.
[23] Roman M. Balabin,et al. Interpolation and extrapolation problems of multivariate regression in analytical chemistry: benchmarking the robustness on near-infrared (NIR) spectroscopy data. , 2012, The Analyst.
[24] Y.‐H.P. Zhang,et al. Substrate channeling and enzyme complexes for biotechnological applications. , 2011, Biotechnology advances.
[25] A. Burgard,et al. Metabolic engineering of Escherichia coli for direct production of 1,4-butanediol. , 2011, Nature chemical biology.
[26] Y.‐H.P. Zhang,et al. Renewable carbohydrates are a potential high-density hydrogen carrier , 2010 .
[27] Y.‐H.P. Zhang,et al. Production of biocommodities and bioelectricity by cell-free synthetic enzymatic pathway biotransformations: challenges and opportunities. , 2010, Biotechnology and bioengineering.
[28] Jeffrey D Orth,et al. What is flux balance analysis? , 2010, Nature Biotechnology.
[29] James M Clomburg,et al. Biofuel production in Escherichia coli: the role of metabolic engineering and synthetic biology , 2010, Applied Microbiology and Biotechnology.
[30] J. Mielenz,et al. Spontaneous high-yield production of hydrogen from cellulosic materials and water catalyzed by enzyme cocktails. , 2009, ChemSusChem.
[31] N. Kikuchi,et al. CellDesigner 3.5: A Versatile Modeling Tool for Biochemical Networks , 2008, Proceedings of the IEEE.
[32] Sébastien Lê,et al. FactoMineR: An R Package for Multivariate Analysis , 2008 .
[33] Markus Ringnér,et al. What is principal component analysis? , 2008, Nature Biotechnology.
[34] D. Broomhead,et al. Something from nothing − bridging the gap between constraint‐based and kinetic modelling , 2007, The FEBS journal.
[35] Mudita Singhal,et al. COPASI - a COmplex PAthway SImulator , 2006, Bioinform..
[36] Christine Dillmann,et al. Simplified modelling of metabolic pathways for flux prediction and optimization: lessons from an in vitro reconstruction of the upper part of glycolysis. , 2006, The Biochemical journal.
[37] Gregory Stephanopoulos,et al. Evaluation of regression models in metabolic physiology: predicting fluxes from isotopic data without knowledge of the pathway , 2006, Metabolomics.
[38] Junhao Yang,et al. Rapid expression of vaccine proteins for B-cell lymphoma in a cell-free system. , 2005, Biotechnology and bioengineering.
[39] J. Stelling. Mathematical models in microbial systems biology. , 2004, Current opinion in microbiology.
[40] Ulf Leser,et al. Finding kinetic parameters using text mining. , 2004, Omics : a journal of integrative biology.
[41] B. Palsson,et al. Identifying constraints that govern cell behavior: a key to converting conceptual to computational models in biology? , 2003, Biotechnology and bioengineering.
[42] Hiroaki Kitano,et al. CellDesigner: a process diagram editor for gene-regulatory and biochemical networks , 2003 .
[43] I A Basheer,et al. Artificial neural networks: fundamentals, computing, design, and application. , 2000, Journal of microbiological methods.
[44] Barbara M. Bakker,et al. Can yeast glycolysis be understood in terms of in vitro kinetics of the constituent enzymes? Testing biochemistry. , 2000, European journal of biochemistry.
[45] G. Fields,et al. Chemical synthesis of proteins. , 2000, Trends in biotechnology.
[46] M. J. Hall,et al. Artificial neural networks as rainfall-runoff models , 1996 .
[47] Paul Geladi,et al. Principal Component Analysis , 1987, Comprehensive Chemometrics.
[48] M. M. Bradford. A rapid and sensitive method for the quantitation of microgram quantities of protein utilizing the principle of protein-dye binding. , 1976, Analytical biochemistry.
[49] Umberto Michelucci,et al. Training Neural Networks , 2018 .
[50] Mohammad Hossein Morowvat,et al. Medium Optimization by Artificial Neural Networks for Maximizing the Triglycerides-Rich Lipids from Biomass of Chlorella vulgaris , 2016 .
[51] Anurag S Rathore,et al. Design of experiments applications in bioprocessing: Concepts and approach , 2014, Biotechnology progress.
[52] M. Jewett,et al. Substrate replenishment and byproduct removal improve yeast cell-free protein synthesis. , 2014, Biotechnology journal.
[53] Stefan Fritsch,et al. neuralnet: Training of Neural Networks , 2010, R J..
[54] Heng Tao Shen,et al. Principal Component Analysis , 2009, Encyclopedia of Biometrics.
[55] Claus Weihs,et al. klaR Analyzing German Business Cycles , 2005, Data Analysis and Decision Support.
[56] Antje Chang,et al. BRENDA, enzyme data and metabolic information , 2002, Nucleic Acids Res..
[57] P. Brodelius. Enzyme assays. , 1991, Current opinion in biotechnology.