Papers
1
Total Citations
18
H-Index
1
About
Maud Jusot is a computational chemist whose work sits at the intersection of structural biology and robotics-inspired algorithms. Her primary research focuses on the conformational analysis of small cyclic peptides—molecules of high therapeutic promise but notorious structural complexity. Her most cited work, "Exhaustive Exploration of the Conformational Landscape of Small Cyclic Peptides Using a Robotics Approach" (2018, 18 citations), introduces a novel methodology that adapts robotics path-planning techniques to systematically map the vast, high-dimensional conformational spaces of these constrained molecules. This approach addresses a critical bottleneck in computational drug design: the poor understanding of cyclic peptide structure, which has historically hindered accurate prediction and rational design. By providing a more complete and rigorous description of their accessible conformations, Jusot’s work lays a foundational framework for improving the computational modeling of these challenging yet therapeutically valuable compounds. Her contributions are particularly notable for bridging disciplines, applying principles from robotics to solve long-standing problems in molecular simulation, and her research continues to inform efforts in peptide-based drug discovery and structural bioinformatics.
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