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Algorithms & Applications Group
Computational Biology, Chemistry & Neuroscience

Applictions of Motion Planning to Computational Biology, Chemistry & Neuroscience
supported by NSF
Chinwe Ekenna, Shawna Thomas, Chih-Peng Wu, Cindy (Hsin-Yi) Yeh, Nancy Amato, Lawrence Rauchwerger
Project Alumni: O. Burchan Bayazit, Luke Hunter, Bonnie Kirkpatrick, Jyh-Ming Lien, Kasia Leyk, Aaron Lindsey, Kasra Manavi, Marco A. Morales A., Shuvra Nath, Guang Song, Annette Stowasser, Xinyu Tang, Lydia Tapia
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Protein Folding and Motions
Ligand Binding
RNA Folding
Neuron PRM
Decoy Databases

Here are our projects. Click to learn more.

Motion planning, as its name suggests, plans a path (motion) for a movable object. Even though it originated in, and has mainly been applied to, robotics problems, motion planning as a concept is abstract enough to be applied to any motion related application, ranging from robotics to animation, and most recently to computational biology, chemistry and neuroscience. Our group is investigating applications of probabilistic roadmap (PRM) motion planning methods to protein folding, ligand binding (i.e., drug docking, which arises in drug design), RNA folding, neuroscience, and decoy databases. We also have a Protein Folding Server available where you can submit your proteins for analysis by our motion planning technique.