Visualizing and analyzing 3D biomolecular structures using Mol* at RCSB.org: Influenza A H5N1 virus proteome case study.

IF 4.5 3区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY
Protein Science Pub Date : 2025-04-01 DOI:10.1002/pro.70093
Sebastian Bittrich, Alexander S Rose, David Sehnal, Jose M Duarte, Yana Rose, Joan Segura, Dennis W Piehl, Brinda Vallat, Chenghua Shao, Charmi Bhikadiya, Jesse Liang, Mark Ma, David S Goodsell, Stephen K Burley, Shuchismita Dutta
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引用次数: 0

Abstract

The easiest and often most useful way to work with experimentally determined or computationally predicted structures of biomolecules is by viewing their three-dimensional (3D) shapes using a molecular visualization tool. Mol* was collaboratively developed by RCSB Protein Data Bank (RCSB PDB, RCSB.org) and Protein Data Bank in Europe (PDBe, PDBe.org) as an open-source, web-based, 3D visualization software suite for examination and analyses of biostructures. It is capable of displaying atomic coordinates and related experimental data of biomolecular structures together with a variety of annotations, facilitating basic and applied research, training, education, and information dissemination. Across RCSB.org, the RCSB PDB research-focused web portal, Mol* has been implemented to support single-mouse-click atomic-level visualization of biomolecules (e.g., proteins, nucleic acids, carbohydrates) with bound cofactors, small-molecule ligands, ions, water molecules, or other macromolecules. RCSB.org Mol* can seamlessly display 3D structures from various sources, allowing structure interrogation, superimposition, and comparison. Using influenza A H5N1 virus as a topical case study of an important pathogen, we exemplify how Mol* has been embedded within various RCSB.org tools-allowing users to view polymer sequence and structure-based annotations integrated from trusted bioinformatics data resources, assess patterns and trends in groups of structures, and view structures of any size and compositional complexity. In addition to being linked to every experimentally determined biostructure and Computed Structure Model made available at RCSB.org, Standalone Mol* is freely available for visualizing any atomic-level or multi-scale biostructure at rcsb.org/3d-view.

使用Mol*在RCSB.org可视化和分析三维生物分子结构:甲型流感H5N1病毒蛋白质组案例研究。
通过实验确定或计算预测生物分子的结构,最简单和最有用的方法是使用分子可视化工具查看它们的三维(3D)形状。Mol*是由RCSB Protein Data Bank (RCSB PDB, RCSB.org)和Protein Data Bank in Europe (PDBe, PDBe.org)合作开发的开源、基于web的3D可视化软件套件,用于生物结构的检测和分析。它能够显示生物分子结构的原子坐标和相关实验数据,并提供各种注释,便于基础和应用研究、培训、教育和信息传播。在RCSB.org (RCSB PDB研究门户网站)上,Mol*已实现支持单鼠标单击生物分子(例如,蛋白质,核酸,碳水化合物)与结合辅因子,小分子配体,离子,水分子或其他大分子的原子级可视化。RCSB.org Mol*可以无缝显示来自各种来源的3D结构,允许结构询问,叠加和比较。以甲型H5N1流感病毒作为一个重要病原体的专题案例研究,我们举例说明了Mol*如何嵌入到各种RCSB.org工具中——允许用户查看聚合序列和基于结构的注释,这些注释集成了可信的生物信息学数据资源,评估结构组的模式和趋势,并查看任何大小和组成复杂性的结构。除了连接到RCSB.org上提供的每个实验确定的生物结构和计算结构模型之外,Standalone Mol*还可以在rcsb.org/3d-view上免费获得任何原子水平或多尺度生物结构的可视化。
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
Protein Science
Protein Science 生物-生化与分子生物学
CiteScore
12.40
自引率
1.20%
发文量
246
审稿时长
1 months
期刊介绍: Protein Science, the flagship journal of The Protein Society, is a publication that focuses on advancing fundamental knowledge in the field of protein molecules. The journal welcomes original reports and review articles that contribute to our understanding of protein function, structure, folding, design, and evolution. Additionally, Protein Science encourages papers that explore the applications of protein science in various areas such as therapeutics, protein-based biomaterials, bionanotechnology, synthetic biology, and bioelectronics. The journal accepts manuscript submissions in any suitable format for review, with the requirement of converting the manuscript to journal-style format only upon acceptance for publication. Protein Science is indexed and abstracted in numerous databases, including the Agricultural & Environmental Science Database (ProQuest), Biological Science Database (ProQuest), CAS: Chemical Abstracts Service (ACS), Embase (Elsevier), Health & Medical Collection (ProQuest), Health Research Premium Collection (ProQuest), Materials Science & Engineering Database (ProQuest), MEDLINE/PubMed (NLM), Natural Science Collection (ProQuest), and SciTech Premium Collection (ProQuest).
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