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PDB-101:支持通过生物学和医学进行分子探索的教育资源。

PDB-101: Educational resources supporting molecular explorations through biology and medicine.

机构信息

Research Collaboratory for Structural Bioinformatics Protein Data Bank, Rutgers, The State University of New Jersey, Piscataway, New Jersey, USA.

Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, New Jersey, USA.

出版信息

Protein Sci. 2022 Jan;31(1):129-140. doi: 10.1002/pro.4200. Epub 2021 Oct 18.

DOI:10.1002/pro.4200
PMID:34601771
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8740840/
Abstract

The Protein Data Bank (PDB) archive is a rich source of information in the form of atomic-level three-dimensional (3D) structures of biomolecules experimentally determined using macromolecular crystallography, nuclear magnetic resonance (NMR) spectroscopy, and electron microscopy (3DEM). Originally established in 1971 as a resource for protein crystallographers to freely exchange data, today PDB data drive research and education across scientific disciplines. In 2011, the online portal PDB-101 was launched to support teachers, students, and the general public in PDB archive exploration (pdb101.rcsb.org). Maintained by the Research Collaboratory for Structural Bioinformatics PDB, PDB-101 aims to help train the next generation of PDB users and to promote the overall importance of structural biology and protein science to nonexperts. Regularly published features include the highly popular Molecule of the Month series, 3D model activities, molecular animation videos, and educational curricula. Materials are organized into various categories (Health and Disease, Molecules of Life, Biotech and Nanotech, and Structures and Structure Determination) and searchable by keyword. A biennial health focus frames new resource creation and provides topics for annual video challenges for high school students. Web analytics document that PDB-101 materials relating to fundamental topics (e.g., hemoglobin, catalase) are highly accessed year-on-year. In addition, PDB-101 materials created in response to topical health matters (e.g., Zika, measles, coronavirus) are well received. PDB-101 shows how learning about the diverse shapes and functions of PDB structures promotes understanding of all aspects of biology, from the central dogma of biology to health and disease to biological energy.

摘要

蛋白质数据库(PDB)档案是一个丰富的信息来源,其中包含通过大分子晶体学、核磁共振(NMR)光谱学和电子显微镜(3DEM)实验确定的生物分子的原子级三维(3D)结构。该档案最初成立于 1971 年,是蛋白质晶体学家自由交换数据的资源,如今 PDB 数据推动了跨学科的研究和教育。2011 年,推出了在线门户 PDB-101,以支持教师、学生和公众探索 PDB 档案(pdb101.rcsb.org)。PDB-101 由结构生物信息学研究合作组织维护,旨在帮助培养下一代 PDB 用户,并向非专业人士宣传结构生物学和蛋白质科学的重要性。定期发布的功能包括极受欢迎的月度分子系列、3D 模型活动、分子动画视频和教育课程。这些材料分为各种类别(健康与疾病、生命分子、生物技术和纳米技术、结构和结构测定),并可通过关键字进行搜索。两年一次的健康焦点框架为新资源的创建提供了主题,并为高中生的年度视频挑战提供了主题。网络分析记录表明,与基础主题(如血红蛋白、过氧化氢酶)相关的 PDB-101 材料每年都有很高的访问量。此外,针对热门健康问题(如寨卡病毒、麻疹、冠状病毒)创建的 PDB-101 材料也很受欢迎。PDB-101 展示了了解 PDB 结构的多样形状和功能如何促进对从生物学中心法则到健康和疾病再到生物能量的生物学各个方面的理解。

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本文引用的文献

1
Inside the Coronavirus.冠状病毒探秘
Sci Am. 2020 Jul 1;323(1):32. doi: 10.1038/scientificamerican0720-32.
2
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Protein Sci. 2022 Jan;31(1):187-208. doi: 10.1002/pro.4213. Epub 2021 Nov 6.
3
Transactions from the 70th Annual Meeting of the American Crystallographic Association: Structural Science-New Ways to Teach the Next Generation.美国晶体学会第70届年会会议记录:结构科学——培养下一代的新方法。
Struct Dyn. 2021 Jul 20;8(4):040401. doi: 10.1063/4.0000125. eCollection 2021 Jul.
4
Science and Culture: The evolving portrait of a virus.科学与文化:病毒的演变画像
Proc Natl Acad Sci U S A. 2021 Jul 20;118(29). doi: 10.1073/pnas.2111544118.
5
Open-access data: A cornerstone for artificial intelligence approaches to protein structure prediction.开放获取数据:人工智能蛋白质结构预测方法的基石。
Structure. 2021 Jun 3;29(6):515-520. doi: 10.1016/j.str.2021.04.010. Epub 2021 May 12.
6
Modernized uniform representation of carbohydrate molecules in the Protein Data Bank.蛋白质数据库中碳水化合物分子的现代化统一表示。
Glycobiology. 2021 Sep 20;31(9):1204-1218. doi: 10.1093/glycob/cwab039.
7
Art as a tool for science.艺术作为科学的工具。
Nat Struct Mol Biol. 2021 May;28(5):402-403. doi: 10.1038/s41594-021-00587-5.
8
Seeing the PDB.看见 PDB。
J Biol Chem. 2021 Jan-Jun;296:100742. doi: 10.1016/j.jbc.2021.100742. Epub 2021 May 4.
9
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