About The CourseWelcome to the CoursePlus Web site for PROTEIN BIOINFORMATICS AND STRUCTURE (260.655.01), a course offered by the Department of Molecular Microbiology and Immunology at the Johns Hopkins Bloomberg School of Public Health.
Provides students with an overview of protein bioinformatics including computational and experimental approaches. Introduces amino acid and protein physical properties as well as the alignment and evolution of protein sequences. Presents protein structure and methods of structure determination as well as the use of protein databases and software for visualizing proteins and generating publication quality figures. Discusses methods for secondary and tertiary protein structure prediction including homology modeling. Also covers methods for modeling small/molecule-protein interactions within the context of rational drug discovery and design. Finally, introduces students to experimental and computational aspects of mapping protein interaction networks.
1. Define protein physical properties and analyze protein structure. 2. Explain how proteins are studied experimentally and how data is generated in high- throughput experiments. 3. Describe the computational methods used to study protein structure and interactions. 4. Master the use of protein databases and protein modeling and visualization software
Sean T. Prigge
E-mail: sprigge@jhsph.edu
Scott Bailey
E-mail: scbailey@jhsph.edu
Jurgen Bosch
E-mail: jubosch@jhsph.edu
Students interested in learning how to manipulate protein sequence and structural databases, and learning how to find, compare, visualize, model and determine protein structures
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