Genetic Hierarchical Fragment-Based Multi-Objective Optimization (GHiFMO) | March 2025

Algorithmic exploration of chemical space for the generation of specific protein-targeted drug analogs.

Achievements:

Motivation of the Project

Our journey started with an inside joke: a bold ambition to 'cure cancer.' While we lacked formal expertise in pharmacology and multi-objective optimization at the outset, the sheer magnitude of the problem compelled us to push forward. We refused to let our inexperience define our limits. Today, we present our solution: a novel algorithm for exploring chemical space to generate targeted molecular analogs of existing drugs. This achievement would not have been possible without the unwavering support and mentorship of our adviser and panel, whose insights guided us from a conceptual spark to a tangible research outcome.