Author
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4 papers
Recent·Most cited
Fabrizio Pucci, Raphaël Bourgeas, Marianne Rooman
The paper curates a dataset of experimental thermodynamic data on protein stability changes due to single-site mutations for training and benchmarking in silico prediction methods.
Fabrizio Pucci, Marianne Rooman
This study uses a multi-scale approach to analyze protein thermal stability, revealing differences in mutational profiles between thermostable and mesostable proteins.
Fabrizio Pucci, Raphaël Bourgeas, Marianne Rooman
The paper introduces a computational tool to predict changes in protein thermal stability from mutations, achieving high accuracy with a root mean square deviation of 2.9°C.
Fabrizio Pucci, Marianne Rooman
The paper develops thermodynamics-based bioinformatics tools to predict protein stability and thermal resistance, and applies them to study aggregation mechanisms in a disease-causing protein.