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Course Catalog


Term: 4th term
Credits: 3 credits
Contact: Sean Prigge
Academic Year: 2012 - 2013
Course Instructors:

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.

Learning Objective(s):

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

Methods of Assessment: 4 homework assignments and final exam
Location: East Baltimore
Class Times:
  • Tuesday 3:30 - 4:50
  • Thursday 3:30 - 4:50
Enrollment Minimum: 5
Enrollment Maximum: 25
Instructor Consent: No consent required

Introduction to Molecular Biology (120.602) or consent of instructor

Auditors Allowed: Yes, with instructor consent
Grading Restriction: Letter Grade or Pass/Fail
Jointly Offered With:
Special Comments: Three Friday computer labs will provide students with practical experience with web-based tools.
Frequency Schedule: Every Other Year
Next Offered: 2015-2016