Nicolas Fontaine
Centre for Artificial Intelligence and Robotics(IN)
Publications by Year
Research Areas
Microbial Metabolic Engineering and Bioproduction, Machine Learning in Bioinformatics, Protein Structure and Dynamics, Viral Infectious Diseases and Gene Expression in Insects, Computational Drug Discovery Methods
Most-Cited Works
- → A machine learning approach for reliable prediction of amino acid interactions and its application in the directed evolution of enantioselective enzymes(2018)141 cited
- → Machine Learning Enables Selection of Epistatic Enzyme Mutants for Stability Against Unfolding and Detrimental Aggregation(2020)38 cited
- → One‐shot optimization of multiple enzyme parameters: Tailoring glucose oxidase for pH and electron mediators(2019)28 cited
- → Application of fourier transform and proteochemometrics principles to protein engineering(2018)24 cited
- → Flux prediction using artificial neural network (ANN) for the upper part of glycolysis(2019)23 cited
- → A Machine Learning Approach for Efficient Selection of Enzyme Concentrations and Its Application for Flux Optimization(2020)18 cited
- → Novel Descriptors and Digital Signal Processing- Based Method for Protein Sequence Activity Relationship Study(2019)11 cited
- → A simplified and cost-effective method combining real-time PCR and pyrosequencing for detection of aac(6′)-Ib-cr gene(2013)6 cited
- → Non-hemolytic peptide classification using a quantum support vector machine(2024)5 cited