The Computer-assisted Molecular Design (CAMD) Lab is part of the Department of Biomolecular Sciences at the University of Urbino Carlo Bo.

We specialize in molecular modeling and computational drug discovery, leveraging several techniques including:

• Docking and structure-based drug design
• Molecular dynamics and enhanced sampling simulations
• Quantitative Structure-Activity Relationship (QSAR) and ligand-based drug design
• Machine learning and deep learning algorithms for drug discovery

Our Expertise. Our team is dedicated to developing innovative methodologies that accelerate drug discovery. We have deep expertise in computational chemistry, particularly in creating tools and techniques that make drug design faster and more precise.

Projects We Work On. Currently, our projects focus on:

• Developing novel treatments for central nervous system (CNS) disorders
• Developing polypharmacology strategies that target multiple pathways
• Enhancing drug discovery processes with machine learning

The lab was founded and is currently headed by Giovanni Bottegoni, a computational medicinal chemist with an academic and industrial background.

Feel free to reach out or visit us to learn more about our research and collaborations.