Gebhardt and colleagues developed a computational method using a naïve Bayes classifier to identify optimal protein labelling sites. Their analysis of 100+ proteins revealed four predictive parameters, leading to a Python package and a web-tool for protein structure analysis and labelling score calculations.
- Christian Gebhardt
- Pascal Bawidamann
- Thorben Cordes
