معرفی
Claudia Andreini is an Associate Professor at the University of Florence, affiliated with the Magnetic Resonance Center and the Department of Chemistry. Her research focuses on computational biology, particularly metalloproteins and bioinformatics. She pioneered the use of bioinformatics to study metalloproteins and developed the MetalPDB database. She collaborates internationally and has presented at major conferences.
Education: PhD in Chemistry (2006), University of Florence; Laurea in Chemistry (2002, cum laude), University of Florence.
Research interests include metalloprotein structure-function relationships, metal-coordination databases, and predictive computational tools. Her work integrates structural bioinformatics, machine learning, and database mining to analyze metal sites in proteins.
Recent publications highlight advancements in zinc-binding site prediction, metal-induced structural variability, and applications of deep learning in metalloprotein analysis. She has contributed to drug design studies involving ruthenium complexes and antibacterial agents.
No scientific awards or grants are explicitly listed in the provided texts. She leads the MetalPDB project and collaborates on structural biology initiatives.
