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Investigating Protein Sequence-structure-dynamics Relationships with Bio3D-web
Published on: July 16, 2017
Introductory bioinformatics exercises utilizing hemoglobin and chymotrypsin to reinforce the protein
Jennifer K Inlow1, Paige Miller, Bethany Pittman
1From the Department of Chemistry, Indiana State University, Terre Haute, Indiana 47809. inlow@carbon.indstate.edu.
This study introduces two bioinformatics exercises for undergraduate biochemistry students, utilizing online tools like BLAST to explore protein sequence-structure-function relationships for hemoglobin and chymotrypsin.
Area of Science:
- Biochemistry
- Bioinformatics
- Computational Biology
Background:
- Undergraduate biochemistry curricula often lack hands-on bioinformatics training.
- Students possess foundational knowledge of proteins like hemoglobin and chymotrypsin.
- Understanding the link between protein sequence, 3D structure, and biological function is crucial.
Purpose of the Study:
- To develop and implement two computer laboratory exercises for an upper-level undergraduate biochemistry course.
- To introduce students to essential bioinformatics tools and methodologies.
- To enhance student comprehension of the relationship between protein sequence, structure, and function.
Main Methods:
- Utilized freely available online bioinformatics tools, including Basic Local Alignment Search Tool (BLAST).
- Designed exercises centered around well-characterized proteins: hemoglobin and chymotrypsin.
- Integrated exercises into a computer laboratory setting within the existing biochemistry course structure.
Main Results:
- Students engaged with practical bioinformatics applications relevant to biochemistry.
- The exercises facilitated a deeper understanding of how alterations in protein sequences impact structure and function.
- Provided a scalable model for incorporating bioinformatics into similar undergraduate science courses.
Conclusions:
- The described bioinformatics exercises effectively bridge theoretical biochemistry knowledge with practical computational tools.
- These exercises enhance students' ability to analyze protein data and understand structure-function dynamics.
- Bioinformatics tools can be readily integrated into undergraduate curricula to enrich scientific training.
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