Nicolas Fontaine

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2011-2015 Universite de La Reunion, France 
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"Nicolas Fontaine"
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Cadet F, Fontaine N, Li G, et al. (2021) Publisher Correction: A machine learning approach for reliable prediction of amino acid interactions and its application in the directed evolution of enantioselective enzymes. Scientific Reports. 11: 8357
Li G, Qin Y, Fontaine NT, et al. (2020) Machine Learning Enables Selection of Epistatic Enzyme Mutants for Stability Against Unfolding and Detrimental Aggregation. Chembiochem : a European Journal of Chemical Biology
Nagaraja AA, Charton P, Cadet XF, et al. (2020) A Machine Learning Approach for Efficient Selection of Enzyme Concentrations and Its Application for Flux Optimization Catalysts. 10: 291
Fontaine NT, Cadet XF, Vetrivel I. (2019) Novel Descriptors and Digital Signal Processing- Based Method for Protein Sequence Activity Relationship Study. International Journal of Molecular Sciences. 20
Liu H, Huang B, Zacarias JCA, et al. (2019) Turbulence-Resistant FSO Communication Using a Few-Mode Pre-Amplified Receiver. Scientific Reports. 9: 16247
Ostafe R, Fontaine N, Frank D, et al. (2019) One-shot Optimization of Multiple Enzyme Parameters: Tailoring Glucose Oxidase for pH and Electron Mediators. Biotechnology and Bioengineering
Ajjolli Nagaraja A, Fontaine N, Delsaut M, et al. (2019) Flux prediction using artificial neural network (ANN) for the upper part of glycolysis. Plos One. 14: e0216178
Cadet F, Fontaine N, Li G, et al. (2018) A machine learning approach for reliable prediction of amino acid interactions and its application in the directed evolution of enantioselective enzymes. Scientific Reports. 8: 16757
Cadet F, Fontaine N, Vetrivel I, et al. (2018) Application of fourier transform and proteochemometrics principles to protein engineering. Bmc Bioinformatics. 19: 382
Huang B, Zacarias JCA, Liu H, et al. (2018) Triple-clad photonic lanterns for mode scaling. Optics Express. 26: 13390-13396
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