PSSKB: A Web Application to Study Protein Structures

IF 4.8 3区 化学 Q2 CHEMISTRY, MULTIDISCIPLINARY Journal of Computational Chemistry Pub Date : 2025-01-28 DOI:10.1002/jcc.70046
Denis V. Petrovskiy, Kirill S. Nikolsky, Liudmila I. Kulikova, Vladimir R. Rudnev, Tatiana V. Butkova, Kristina A. Malsagova, Valeriya I. Nakhod, Arthur T. Kopylov, Anna L. Kaysheva
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Abstract

The proteins expressed during the cell cycle determine cell function and ensure signaling pathway activation in response to environmental influences. Developments in structural biology, biophysics, and bioinformatics provide information on the structure and function of particular proteins including that on the structural changes in proteins due to post-translational modification (PTM) and amino acid substitutions (AAS), which is essential for understanding protein function and life cycle. These are PTMs and AASs that often modulate the function and alter the stability and localization of a protein in a cell. PSSKB is a platform that integrates all necessary tools for modeling the five common natural modifications and all canonical AASs in proteins. The available tools are not limited to the local database, so the user can select a protein from Uniprot ID or PDB ID. The result will be a three-dimensional (3D) representation of the modified structure, as well as an analysis of the changes in the performance of the intact and modified structures after energy minimization compared with the original structure, which not only makes it possible to evaluate AAS/PTM influence of on a protein's characteristics but also to use the 3D model for further studies. Additionally, PSSKB enables the user to search, align, overlay, and determine the exact coordinates of protein structure fragments. The search results are a set of structural motifs similar to the query and ranked by statistical significance. The platform is fully functional and publicly available at https://psskb.org/. No registration is required to access the platform. A tutorial video can be found at https://psskb.org/page/about. Services provided on the platform are based on previously developed and published software. SCPacker applied for PTM Modeling and AAS services available at GitHub (https://github.com/protdb/SCPacker). SaFoldNet applied for a Similar Search service is also available at GitHub (https://github.com/protdb/ABBNet).

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PSSKB:研究蛋白质结构的网络应用程序
在细胞周期中表达的蛋白质决定细胞功能,并确保信号通路在响应环境影响时激活。结构生物学、生物物理学和生物信息学的发展为特定蛋白质的结构和功能提供了信息,包括蛋白质由于翻译后修饰(PTM)和氨基酸取代(AAS)导致的结构变化,这对理解蛋白质的功能和生命周期至关重要。这些是PTMs和AASs,它们经常调节功能,改变细胞中蛋白质的稳定性和定位。PSSKB是一个整合了所有必要工具的平台,用于建模蛋白质中五种常见的自然修饰和所有典型的AASs。可用的工具不限于本地数据库,因此用户可以从Uniprot ID或PDB ID中选择蛋白质。结果将得到修饰结构的三维(3D)表示,并分析能量最小化后完整结构和修饰结构与原始结构的性能变化,这不仅可以评估AAS/PTM对蛋白质特性的影响,而且可以使用3D模型进行进一步的研究。此外,PSSKB使用户能够搜索、对齐、覆盖和确定蛋白质结构片段的确切坐标。搜索结果是一组与查询相似的结构基元,并按统计显著性排序。该平台功能齐全,可在https://psskb.org/上公开获取。无需注册即可访问该平台。教程视频可以在https://psskb.org/page/about上找到。平台上提供的服务是基于先前开发和发布的软件。SCPacker申请了GitHub (https://github.com/protdb/SCPacker)提供的PTM建模和AAS服务。SaFoldNet申请了类似的搜索服务,也可以在GitHub (https://github.com/protdb/ABBNet)上找到。
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
CiteScore
6.60
自引率
3.30%
发文量
247
审稿时长
1.7 months
期刊介绍: This distinguished journal publishes articles concerned with all aspects of computational chemistry: analytical, biological, inorganic, organic, physical, and materials. The Journal of Computational Chemistry presents original research, contemporary developments in theory and methodology, and state-of-the-art applications. Computational areas that are featured in the journal include ab initio and semiempirical quantum mechanics, density functional theory, molecular mechanics, molecular dynamics, statistical mechanics, cheminformatics, biomolecular structure prediction, molecular design, and bioinformatics.
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