Geometric Methods in Structural Computational Biology
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This course is a short series of lectures on Structural Computational Biology, with an emphasis on geometric algorithms. Topics covered include basic data structures for modeling proteins; kinematics and inverse kinematics of protein chains; distance measures and alignment algorithms for protein structures; motif finding for the functional annotation of proteins; the application of robotics-derived methods to problems in protein modeling; and protein-ligand docking.
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