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TMB Stab-pred:利用跨膜β桶状蛋白的序列和结构特征预测其稳定性

TMB Stab-pred: Predicting the stability of transmembrane β-barrel proteins using their sequence and structural signatures.

作者信息

Reddy P Ramakrishna, Kulandaisamy A, Gromiha M Michael

机构信息

Department of Biotechnology, Bhupat and Jyoti Mehta School of Biosciences, Indian Institute of Technology Madras, Chennai 600036, Tamil Nadu, India.

Department of Biotechnology, Bhupat and Jyoti Mehta School of Biosciences, Indian Institute of Technology Madras, Chennai 600036, Tamil Nadu, India.

出版信息

Biochim Biophys Acta Proteins Proteom. 2025 Jul 1;1873(4):141070. doi: 10.1016/j.bbapap.2025.141070. Epub 2025 Apr 4.

Abstract

Understanding the folding and stability of transmembrane β-barrel proteins (TMBs) provides insights into their structural integrity, functional mechanisms, and implications for disease states. In this work, we have characterized the important features that influence the folding and stability of TMBs. Our results showed that lipid accessible surface area and transition energy are important for understanding the stability of TMBs. Further, this information was utilized to develop a linear regression-based method for predicting the stability of TMBs. Our method achieved a correlation and mean absolute error (MAE) of 0.96 and 0.94 kcal/mol on the jack-knife test. Moreover, we compared the stability of TMBs with globular all-β proteins and observed that long-range interactions and energetic properties are crucial for maintaining the stability of both β-barrel membrane and all-β globular proteins. On the other hand, side-chain - side-chain hydrogen bonds and lipid accessible surface area are specific to membrane proteins. These features are critical for membrane proteins because they influence a protein to embed within the membrane environment. Further, we have developed a web server, TMB Stab-pred for predicting the stability of TMBs, and it is accessible at https://web.iitm.ac.in/bioinfo2/TMBB/index.html.

摘要

了解跨膜β桶蛋白(TMB)的折叠和稳定性有助于深入了解其结构完整性、功能机制以及与疾病状态的关联。在这项工作中,我们对影响TMB折叠和稳定性的重要特征进行了表征。我们的结果表明,脂质可及表面积和转变能对于理解TMB的稳定性很重要。此外,利用这些信息开发了一种基于线性回归的方法来预测TMB的稳定性。我们的方法在留一法测试中实现了0.96的相关性和0.94千卡/摩尔的平均绝对误差(MAE)。此外,我们比较了TMB与全β球状蛋白的稳定性,发现长程相互作用和能量性质对于维持β桶膜蛋白和全β球状蛋白的稳定性都至关重要。另一方面,侧链-侧链氢键和脂质可及表面积是膜蛋白所特有的。这些特征对于膜蛋白至关重要,因为它们影响蛋白质嵌入膜环境。此外,我们开发了一个网络服务器TMB Stab-pred来预测TMB的稳定性,可通过https://web.iitm.ac.in/bioinfo2/TMBB/index.html访问。

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