Christophe Zanon

Centre National de la Recherche Scientifique, Université Fédérale de Toulouse Midi-Pyrénées

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About

Christophe Zanon is a researcher at the intersection of computational biophysics and safety engineering, whose work spans protein-ligand dynamics and human-robot interaction risk analysis. In computational biology, Zanon developed MoMA-LigPath, a pioneering web server that simulates protein-ligand unbinding pathways, revealing how interactions far from the active site govern molecular specificity and activity—a challenge that experimental and computational methods have long struggled to address. This tool, cited 46 times, offers researchers a practical means to explore binding and release mechanisms critical to drug design. In parallel, Zanon has advanced robotics safety through a UML-based method for risk analysis of human-robot interactions, cited 30 times. By applying deviation analysis to system usage scenarios described in Unified Modeling Language, this approach systematically identifies major risks in physical human-robot collaboration, addressing a core concern in the field. Zanon’s dual contributions demonstrate a rare ability to bridge molecular-scale simulations and real-world safety engineering, providing both theoretical insights and practical tools that empower researchers and engineers to tackle complex problems in drug discovery and robotics.