RCSB Protein Data Bank: supporting research and education worldwide through explorations of experimentally determined and computationally predicted atomic level 3D biostructures

IF 2.9 2区 材料科学 Q2 CHEMISTRY, MULTIDISCIPLINARY
IUCrJ Pub Date : 2024-05-01 DOI:10.1107/S2052252524002604
Stephen K. Burley , Dennis W. Piehl , Brinda Vallat , Christine Zardecki , E. N. Baker (Editor)
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引用次数: 0

Abstract

The RCSB PDB research-focused web portal at https://www.rcsb.org/ provides important tools and resources to search, visualize and analyze experimentally determined 3D biostructures alongside computed structure models of proteins predicted using artificial intelligence/machine-learning based tools.

The Protein Data Bank (PDB) was established as the first open-access digital data resource in biology and medicine in 1971 with seven X-ray crystal structures of proteins. Today, the PDB houses >210 000 experimentally determined, atomic level, 3D structures of proteins and nucleic acids as well as their complexes with one another and small molecules (e.g. approved drugs, enzyme cofactors). These data provide insights into fundamental biology, biomedicine, bioenergy and biotechnology. They proved particularly important for understanding the SARS-CoV-2 global pandemic. The US-funded Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) and other members of the Worldwide Protein Data Bank (wwPDB) partnership jointly manage the PDB archive and support >60 000 ‘data depositors’ (structural biologists) around the world. wwPDB ensures the quality and integrity of the data in the ever-expanding PDB archive and supports global open access without limitations on data usage. The RCSB PDB research-focused web portal at https://www.rcsb.org/ (RCSB.org) supports millions of users worldwide, representing a broad range of expertise and interests. In addition to retrieving 3D structure data, PDB ‘data consumers’ access comparative data and external annotations, such as information about disease-causing point mutations and genetic variations. RCSB.org also provides access to >1 000 000 computed structure models (CSMs) generated using artificial intelligence/machine-learning methods. To avoid doubt, the provenance and reliability of experimentally determined PDB structures and CSMs are identified. Related training materials are available to support users in their RCSB.org explorations.

RCSB 蛋白质数据库:通过探索实验确定和计算预测的原子级三维生物结构,为全球的研究和教育提供支持。
蛋白质数据库(PDB)成立于 1971 年,是生物学和医学领域第一个开放式数字数据资源,其中包含 7 个蛋白质的 X 射线晶体结构。如今,PDB 收录了超过 210 000 个经实验确定的蛋白质和核酸原子级三维结构,以及它们之间的复合物和小分子(如已批准的药物、酶辅助因子)。这些数据为基础生物学、生物医学、生物能源和生物技术提供了洞察力。事实证明,这些数据对于了解 SARS-CoV-2 全球大流行尤为重要。由美国资助的结构生物信息学研究合作组织蛋白质数据库(RCSB PDB)和全球蛋白质数据库(wwPDB)合作组织的其他成员共同管理 PDB 档案,并为全球超过 60,000 名 "数据保存者"(结构生物学家)提供支持。wwPDB 确保不断扩大的 PDB 档案中数据的质量和完整性,并支持全球开放访问,对数据的使用没有任何限制。https://www.rcsb.org/ (RCSB.org)上以研究为重点的 RCSB PDB 门户网站为全球数百万用户提供支持,这些用户代表了广泛的专业知识和兴趣。除了检索三维结构数据外,PDB "数据消费者 "还可以访问比较数据和外部注释,如致病点突变和遗传变异信息。RCSB.org还提供使用人工智能/机器学习方法生成的1000多个计算结构模型(CSM)。为避免疑虑,对实验确定的 PDB 结构和 CSM 的出处和可靠性进行了鉴定。相关培训材料可为用户在 RCSB.org 上的探索提供支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
IUCrJ
IUCrJ CHEMISTRY, MULTIDISCIPLINARYCRYSTALLOGRAPH-CRYSTALLOGRAPHY
CiteScore
7.50
自引率
5.10%
发文量
95
审稿时长
10 weeks
期刊介绍: IUCrJ is a new fully open-access peer-reviewed journal from the International Union of Crystallography (IUCr). The journal will publish high-profile articles on all aspects of the sciences and technologies supported by the IUCr via its commissions, including emerging fields where structural results underpin the science reported in the article. Our aim is to make IUCrJ the natural home for high-quality structural science results. Chemists, biologists, physicists and material scientists will be actively encouraged to report their structural studies in IUCrJ.
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