Geometric Methods in Structural Computational Biology / Einztein

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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.

alignment algorithms biology computational biology computer computer science distance measures Geometry inverse kinematics kinematics modeling proteins protein chains protein modeling protein structures protein-ligand docking robotic-derived methods

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