TMH Stab-pred: Predicting the stability of α-helical membrane proteins using sequence and structural features

跨膜蛋白 跨膜结构域 理论(学习稳定性) 序列(生物学) 化学 膜蛋白 折叠(DSP实现) 蛋白质二级结构 生物系统 生物物理学 计算机科学 生物化学 生物 受体 机器学习 电气工程 工程类
作者
P. Ramakrishna Reddy,A. Kulandaisamy,M. Michael Gromiha
出处
期刊:Methods [Elsevier BV]
卷期号:218: 118-124
标识
DOI:10.1016/j.ymeth.2023.08.005
摘要

The folding and stability of transmembrane proteins (TMPs) are governed by the insertion of secondary structural elements into the cell membrane followed by their assembly. Understanding the important features that dictate the stability of TMPs is important for elucidating their functions. In this work, we related sequence and structure-based parameters with free energy (ΔG0) of α-helical membrane proteins. Our results showed that the free energy transfer of hydrophobic peptides, relative contact order, total interaction energy, number of hydrogen bonds and lipid accessibility of transmembrane regions are important for stability. Further, we have developed multiple-regression models to predict the stability of α-helical membrane proteins using these features and our method can predict the stability with a correlation and mean absolute error (MAE) of 0.89 and 1.21 kcal/mol, respectively, on jack-knife test. The method was validated with a blind test set of three recently reported experimental ΔG0, which could predict the stability within an average MAE of 0.51 kcal/mol. Further, we developed a webserver for predicting the stability and it is freely available at (https://web.iitm.ac.in/bioinfo2/TMHS/). The importance of selected parameters and limitations are discussed.

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