Papers
12
Total Citations
368
H-Index
9
About
Marc Vaisset is a pioneering researcher whose work bridges the fields of robotics and computational structural biology. His early career focused on autonomous mobile robots, where he developed integrated navigation and motion control systems, as demonstrated by his highly cited 1990 paper (173 citations) on multisensory mobile robots and his work on collision-free motion planning for nonholonomic trailers. However, Vaisset’s most distinctive contribution has been his innovative application of robotics-inspired algorithms—such as path planning and multi-tree search methods—to solve complex problems in molecular biophysics. He has made major advances in modeling protein conformational transitions and simulating protein–ligand unbinding, notably through the MoMA-LigPath web server (46 citations), which helps researchers understand molecular specificity and activity. His work on characterizing energy landscapes of peptides (26 citations) and exhaustively exploring the conformational space of small cyclic peptides (18 citations) has provided critical tools for drug design. By segmenting proteins into tripeptides and employing hybrid parallelization, Vaisset has significantly enhanced conformational sampling efficiency. His unique interdisciplinary approach continues to impact both robotics and computational chemistry.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3MoMA-LigPath: a web server to simulate protein–ligand unbinding46 citations · 2013
- 4
- 5
- 6Collision-free motion planning for a nonholonomic mobile robot with trailers16 citations · 1994
- 7Simultaneous system design and path planning: A sampling-based algorithm11 citations · 2018
- 8
- 9
- 10A multi-tree approach to compute transition paths on energy landscapes5 citations · 2013