Nicolas Tristan Fontaine

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Publications (11)

• Challenging the paradigm: non-canonical exoprotease cheating in clinical Pseudomonas aeruginosa isolates
  FEMS Microbiology Ecology 2025 DOI: 10.1093/femsec/fiaf106
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• Non-hemolytic peptide classification using a quantum support vector machine
  Quantum Information Processing 2024 DOI: 10.1007/s11128-024-04540-5
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• Machine Learning Enables Selection of Epistatic Enzyme Mutants for Stability Against Unfolding and Detrimental Aggregation
  ChemBioChem 2020 DOI: 10.1002/cbic.202000612
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• A Machine Learning Approach for Efficient Selection of Enzyme Concentrations and Its Application for Flux Optimization
  Catalysts 2020 DOI: 10.3390/catal10030291
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• Novel Descriptors and Digital Signal Processing- Based Method for Protein Sequence Activity Relationship Study
  International Journal of Molecular Sciences 2019 DOI: 10.3390/ijms20225640
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• One‐shot optimization of multiple enzyme parameters: Tailoring glucose oxidase for pH and electron mediators
  Biotechnology and Bioengineering 2019 DOI: 10.1002/bit.27169
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• Flux prediction using artificial neural network (ANN) for the upper part of glycolysis
  PLOS ONE 2019 DOI: 10.1371/journal.pone.0216178
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• A machine learning approach for reliable prediction of amino acid interactions and its application in the directed evolution of enantioselective enzymes
  Scientific Reports 2018 DOI: 10.1038/s41598-018-35033-y
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• Application of fourier transform and proteochemometrics principles to protein engineering
  BMC Bioinformatics 2018 DOI: 10.1186/s12859-018-2407-8
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• Modélisation de système synthétique pour la production de biohydrogène
  2015 DOI: 10.70675/c8517592z52fez4dd5z9a93zf04a61df02e4
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