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通过分子可视化教授蛋白质结构与功能。

Teaching protein structure and function through molecular visualization.

作者信息

Baland Elisabeth, Pérez Jimenez Lucía, Mateus André

机构信息

Department of Chemistry, Umeå University, Umeå, Sweden.

Department of Molecular Biology, Umeå University, Umeå, Sweden.

出版信息

Biochem Mol Biol Educ. 2025 Jan-Feb;53(1):15-20. doi: 10.1002/bmb.21860. Epub 2024 Sep 4.

DOI:10.1002/bmb.21860
PMID:39230433
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11752409/
Abstract

The function of proteins is governed by their three-dimensional structure. This structure is determined by the chemical characteristics and atomic interactions of amino acids. Students of biochemistry, with a particular focus on protein chemistry, benefit from looking at protein structures and understanding how proteins are built and fold. Due to their three-dimensional nature, static two-dimensional representations in textbooks can be limiting to student learning. Here, we developed a series of tutorials that introduce students to molecular graphics software. The students are challenged to apply the software to look at proteins and to get a deeper understanding of how amino acid properties are linked to structure. We also familiarize students with some of the latest tools in computational structural biology. Students performed the tutorials with visual enthusiasm and reported general satisfaction in being able to visualize theoretical concepts learned during lectures. We further stimulated student engagement by allowing space for self-exploration. We share the tutorial instructions for other teachers to build on them, and we also offer suggestions for further improvement based on student feedback. In summary, we present a series of tutorials aimed at students of an advanced course in protein biochemistry to enable them to explore the universe of protein structures and how those relate to function.

摘要

蛋白质的功能由其三维结构决定。这种结构由氨基酸的化学特性和原子相互作用决定。专注于蛋白质化学的生物化学专业学生,通过观察蛋白质结构以及了解蛋白质如何构建和折叠而受益。由于蛋白质的三维性质,教科书中静态的二维表示可能会限制学生的学习。在此,我们开发了一系列教程,向学生介绍分子图形软件。要求学生运用该软件观察蛋白质,并更深入地了解氨基酸特性如何与结构相关联。我们还让学生熟悉计算结构生物学中的一些最新工具。学生们满怀热情地完成了教程,并表示对能够将课堂上学到的理论概念可视化总体感到满意。我们通过留出自我探索的空间进一步激发了学生的参与度。我们分享教程说明,供其他教师在此基础上进行拓展,并且我们还根据学生反馈提供进一步改进的建议。总之,我们呈现了一系列针对蛋白质生物化学高级课程学生的教程,以使他们能够探索蛋白质结构的世界以及这些结构与功能的关系。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd8c/11752409/54f2d575bcb7/BMB-53-15-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd8c/11752409/7ffa271e3551/BMB-53-15-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd8c/11752409/1a27b7b8a7ff/BMB-53-15-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd8c/11752409/54f2d575bcb7/BMB-53-15-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd8c/11752409/7ffa271e3551/BMB-53-15-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd8c/11752409/1a27b7b8a7ff/BMB-53-15-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd8c/11752409/54f2d575bcb7/BMB-53-15-g002.jpg

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本文引用的文献

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Accurate structure prediction of biomolecular interactions with AlphaFold 3.利用 AlphaFold 3 进行生物分子相互作用的精确结构预测。
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Biochem Mol Biol Educ. 2022 Sep;50(5):473-475. doi: 10.1002/bmb.21664. Epub 2022 Sep 1.
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