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Engage students in exploring biopolymers, proteins, and molecular evolution using VMD software. Lessons integrate research tools, fostering active learning in diverse biology classes. Students create 3D models of proteins, align sequences for phylogenetic trees, and teach peers. Easy integration into existing curricula.
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Molecular Visualizations in the High School Biology Classroom Sharlene Denos1, Matthew Kirkpatrick2 , Kathryn Hafner3, and Shelley Barker3 1) Center for Biophysics & Computational Biology, University of Illinois at Urbana-Champaign, Urbana, IL. 2) Neuqua Valley High School, Naperville, IL. 3) Danville High School, Danville, IL What: Lessons which employ the powerful research tool VMD to teach high school students about biopolymers, protein structure and function, and molecular evolution. Where: Honors, regular and AP biology classes at public high schools in both high and low income districts Illinois. How: A UIUC graduate student, funded by an NSF fellowship, worked with local teachers to develop lessons relevant to her research and the course curricula.
The Lessons • “Visualizing Biopolymers & Their Building Blocks” • Students work in groups to answer questions about biopolymers and their building blocks by looking at their structures in VMD. • This is similar to what is commonly done with physical models in organic chemistry classes, but without the considerable cost of such models. • “Discovering the Structure of Your Favorite Protein” • Students choose a protein from the Protein Data Bank’s “Molecule of the Month” feature and learn about its structure and function. • Students load the molecule into VMD and use the “representations” menu to highlight features of their protein which are important for stability and function. • Students use their VMD model to build a 3-dimensional physical model from materials of their choice. • Students use their VMD and physical models to teach their class-mates and teacher about their protein. • “Proteins as Molecular Clocks” • Students choose a group of taxonomically related organisms (i.e. canines, trees, archeabacteria, etc.) and 3 proteins known to be present in all of the organisms (i.e. hemoglobin in higher animals, cytochrome C in bacteria, etc.). • Students use Multiseq to align protein sequences in the chosen organisms and build phylogenetic trees based on this alignment.
Instructions for Students Cholera Toxin
Building a Protein Representation in VMD RNA Polymerase protein initially looks like this Students must build a representation like this, where the nascent mRNA, 2 DNA strands, and the protein are easy to distinguish.
Example 1: Cholera Toxin, Danville High School biology student, 2006 Physical Model VMD Model
Example 2: Dihydrofolate Reductase, Neuqua Valley High biology student, 2007 Physical Model VMD Model
Example 3: Green Fluorescent Protein (2 copies in one PDB file), Neuqua Valley High biology student, 2007 Physical Model VMD Model
Example 4: Transcribing T7 RNA Polymerase, Neuqua Valley High biology student, 2007 Physical Model VMD Model
Example 5: Luciferase, Neuqua Valley High biology student, 2007 VMD Model Physical Model
Example 6: Growth Hormone, Danville High biology student, 2008 VMD Model Physical Model
Example 7: ATP Synthase, Neuqua Valley High biology student, 2007 VMD Model Physical Model
Example 8: Alcohol Dehydrogenase, Danville High biology student, 2008 VMD Model Physical Model
Example 9: Hemoglobin, Danville High biology student, 2008 Physical Model VMD Model
Conclusions • Molecular visualizations can be integrated into the current high school biology curriculum • High school teachers and students are capable of manipulating molecules using VMD • VMD lessons help students “relate” better to biomolecules and provide a means for inquiry learning in classes typically dominated by lectures, memorization and multiple choice testing.
Acknowledgements • Shelley Barker, Kathy Hafner and the Danville High School biology students • Matt Kirkpatrick and the Neuqua Valley High School biology students • The National Science Foundation GK-12 Program • Klaus Schulten and the NIH Resource for Macromolecular Modeling & Bioinformatics at UIUC