Raquel López-Ríos de Castro

The paper uses MCCE to analyze how kinase inhibitors affect protonation and tautomeric states, finding that inhibitor charges change dynamically and minority tautomers can dominate binding.

This paper describes the development of KinoML, a framework for structure-enabled machine learning in drug discovery, focusing on kinases, and highlights key lessons in data management and model reproducibility.