2017
DOI: 10.1021/acs.jchemed.6b00464
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Understanding Structure: A Computer-Based Macromolecular Biochemistry Lab Activity

Abstract: Undergraduates in biology and chemistry encounter images of protein structures, solved by X-ray crystallography, but are often ill equipped to interpret and use these images in their education. A simple computer-based lab activity is presented and described here that introduces students to the origin of X-ray crystallographic images and allows them to experience the basics of protein model building, through the use of lysozyme. The lab activity also directs students to examine lysozyme’s role as a crystallizat… Show more

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Cited by 15 publications
(15 citation statements)
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“…As an illustration, we employed the MAtCH model to briefly review and suggest possible modifications for three protein-folding and dynamics educational materials published this year ( Helgren and Hagen, 2017 ; Lipchock et al. , 2017 ; McLaughlin, 2017 ; see Supplemental Table S1). Lipchock et al.…”
Section: Discussionmentioning
confidence: 99%
“…As an illustration, we employed the MAtCH model to briefly review and suggest possible modifications for three protein-folding and dynamics educational materials published this year ( Helgren and Hagen, 2017 ; Lipchock et al. , 2017 ; McLaughlin, 2017 ; see Supplemental Table S1). Lipchock et al.…”
Section: Discussionmentioning
confidence: 99%
“…PDB‐101 content is primarily developed by RCSB PDB team members. A quarterly Education Corner publishes descriptions of how other researchers and educators (e.g., 51–59 ) are using PDB data in classrooms, art, and science outreach.…”
Section: Community Interactions and Impactmentioning
confidence: 99%
“…Many exercises use free stand-alone or web-based tools [4] making incorporation of bioinformatics achievable. Students used bioinformatics to investigate multiple topics such as drug design [5,6,7,8,9], visualization of protein structure [10,11,12,13,14], homology modeling [15,16,17], genomics/proteomics [18,19] and genetic diseases [20]. The work described here is distinct because students use bioinformatics to investigate a genetic disease and explores the racial disproportionality of this disease.…”
Section: Introductionmentioning
confidence: 99%