Pitman Connor, Santiago-McRae Ezry, Lohia Ruchi, Lamb Ryan, Bassi Kaitlin, Riggs Lindsey, Joseph Thomas T, Hansen Matthew E B, Brannigan Grace
Center for Computational and Integrative Biology, Rutgers University-Camden, 201 Broadway, 08103, NJ, USA.
Department of Cancer Biology, Perelman School of Medicine, University of Pennsylvania, 3400 Civic Center Blvd, 19104, PA, USA.
bioRxiv. 2025 Mar 18:2024.01.15.575761. doi: 10.1101/2024.01.15.575761.
Clusters of hydrophobic residues are known to promote structured protein stability and drive protein aggregation. Recent work has shown that identifying contiguous hydrophobic residue clusters within protein sequences (termed "blobs") has proven useful in both intrinsically disordered protein (IDP) simulation and human genome studies. However, an accessible toolkit was unavailable, and the role that blobs play across the structural context of a variety of protein families remained unclear. Here, we present the toolkit: consisting of a webtool, a command line interface, and a VMD plugin. We demonstrate how identifying blobs using biologically relevant parameters provides useful information about a globular protein, two orthologous membrane proteins, and an IDP. Other potential applications are discussed, including: predicting protein segments with critical roles in tertiary interactions, providing a definition of local order and disorder with clear edges, and aiding in predicting protein features from sequence. The webtool can be found at www.blobulator.branniganlab.org, and the source code with pip installable command line tool, as well as the VMD plugin with installation instructions, can be found on GitHub at www.GitHub.com/BranniganLab/blobulator.
已知疏水残基簇可促进结构化蛋白质的稳定性并驱动蛋白质聚集。最近的研究表明,在蛋白质序列中识别连续的疏水残基簇(称为“斑点”)已被证明在内在无序蛋白质(IDP)模拟和人类基因组研究中都很有用。然而,当时还没有一个易于使用的工具包,并且斑点在各种蛋白质家族的结构背景中所起的作用仍不清楚。在这里,我们展示了这个工具包:它由一个网络工具、一个命令行界面和一个VMD插件组成。我们展示了如何使用生物学相关参数识别斑点,从而为一种球状蛋白质、两种直系同源膜蛋白和一种IDP提供有用信息。我们还讨论了其他潜在应用,包括:预测在三级相互作用中起关键作用的蛋白质片段、提供具有清晰边界的局部有序和无序的定义,以及帮助从序列预测蛋白质特征。该网络工具可在www.blobulator.branniganlab.org上找到,带有可通过pip安装的命令行工具的源代码,以及带有安装说明的VMD插件,可在GitHub上的www.GitHub.com/BranniganLab/blobulator上找到。