Frédéric CADET

Affiliations: 
LBGM Universite de La Reunion, France 
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"Frédéric CADET"
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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
Lo-Thong O, Charton P, Cadet XF, et al. (2020) Identification of flux checkpoints in a metabolic pathway through white-box, grey-box and black-box modeling approaches. Scientific Reports. 10: 13446
Dhingra S, Sowdhamini R, Cadet F, et al. (2020) A glance into the evolution of template-free protein structure prediction methodologies. Biochimie
Melarkode Vattekatte A, Shinada NK, Narwani TJ, et al. (2020) Discrete analysis of camelid variable domains: sequences, structures, and in-silico structure prediction. Peerj. 8: e8408
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
Vetrivel I, de Brevern AG, Cadet F, et al. (2019) Structural variations within proteins can be as large as variations observed across their homologues. Biochimie
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
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