Aug 18, 2022  
2020-2021 Undergraduate Academic Catalog 
2020-2021 Undergraduate Academic Catalog [ARCHIVED CATALOG]

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EB 3840 - Bioinformatics III

2 lecture hours 2 lab hours 3 credits
Course Description
Biomolecular misfolding and aggregation, not genetic mutations, is de facto responsible for the vast majority of human diseases. As an extension to the two existing Bioinformatics courses, EB 3420  and EB 3430 , Bioinformatics III will introduce more advanced topics in Bioinformatics, ranging from identification and characterization of sequence and structural motifs implicated in higher-order biomolecular architecture to homology modeling to predict biomolecular 3D structure. In particular, students will learn about how to apply both thermodynamic and comparative algorithms to better understand biomolecular folding mechanisms by which a biosequence folds into its functional 3D structure, efficiently and accurately. In addition, students will learn experientially through collective discussion of most recent journal articles pertinent to contemporary Bioinformatics as well as through effective teamwork to perform lab projects. If time permits, this course will introduce how machine learning can be employed to address biomolecular structure prediction and design active pharmaceutical identities (APIs). (prereq: EB 3430 )
Course Learning Outcomes
Upon successful completion of this course, the student will be able to:
  • Understand the complexity of biomolecular 3D structure and its complex intermolecular interactions
  • Understand the implications of biomolecular folding and misfolding
  • Identify and characterize sequence and structural motifs implicated in biomolecular 3D architecture
  • Understand the impact of homology modeling on biomolecular structure prediction

Prerequisites by Topic
  • Biological databases
  • Sequence analysis

Course Topics
  • How a biomolecule folds and why
  • Complexity of higher-order biomolecular structure/assembly
  • Sequence and structural motifs and their roles
  • Biomolecular structure prediction: Homology modeling
  • Drug-receptor interactions: Molecular docking

Dr. Jung Lee

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