Predicting weakly stable regions, oligomerization state, and protein-protein interfaces in transmembrane domains of outer membrane proteins.

IF 9.1 1区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES Proceedings of the National Academy of Sciences of the United States of America Pub Date : 2009-08-04 Epub Date: 2009-07-21 DOI:10.1073/pnas.0902169106
Hammad Naveed, Ronald Jackups, Jie Liang
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引用次数: 67

Abstract

Although the structures of many beta-barrel membrane proteins are available, our knowledge of the principles that govern their energetics and oligomerization states is incomplete. Here we describe a computational method to study the transmembrane (TM) domains of beta-barrel membrane proteins. Our method is based on a physical interaction model, a simplified conformational space for efficient enumeration, and an empirical potential function from a detailed combinatorial analysis. Using this method, we can identify weakly stable regions in the TM domain, which are found to be important structural determinants for beta-barrel membrane proteins. By calculating the melting temperatures of the TM strands, our method can also assess the stability of beta-barrel membrane proteins. Predictions on membrane enzyme PagP are consistent with recent experimental NMR and mutant studies. We have also discovered that out-clamps, in-plugs, and oligomerization are 3 general mechanisms for stabilizing weakly stable TM regions. In addition, we have found that extended and contiguous weakly stable regions often signal the existence of an oligomer and that strands located in the interfaces of protein-protein interactions are considerably less stable. Based on these observations, we can predict oligomerization states and can identify the interfaces of protein-protein interactions for beta-barrel membrane proteins by using either structure or sequence information. In a set of 25 nonhomologous proteins with known structures, our method successfully predicted whether a protein forms a monomer or an oligomer with 91% accuracy; in addition, our method identified with 82% accuracy the protein-protein interaction interfaces by using sequence information only when correct strands are given.

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预测外膜蛋白跨膜结构域的弱稳定区、寡聚化状态和蛋白-蛋白界面。
尽管许多β -桶膜蛋白的结构是可用的,但我们对控制它们的能量学和寡聚状态的原理的知识是不完整的。在这里,我们描述了一种计算方法来研究β -桶膜蛋白的跨膜结构域。我们的方法是基于一个物理相互作用模型,一个简化的构象空间进行有效的枚举,并从详细的组合分析经验势函数。利用这种方法,我们可以识别出TM结构域中的弱稳定区域,这些区域被发现是β -桶膜蛋白的重要结构决定因素。通过计算TM链的熔化温度,我们的方法还可以评估β -桶膜蛋白的稳定性。对膜酶PagP的预测与最近的核磁共振实验和突变体研究一致。我们还发现外夹、内塞和寡聚化是稳定弱稳定TM区域的3种一般机制。此外,我们发现延伸和连续的弱稳定区域通常表明低聚物的存在,并且位于蛋白质-蛋白质相互作用界面的链相当不稳定。基于这些观察结果,我们可以利用结构或序列信息预测β -桶膜蛋白的寡聚化状态,并可以识别蛋白质-蛋白质相互作用的界面。在一组已知结构的25种非同源蛋白中,我们的方法成功地预测了蛋白质是形成单体还是低聚物,准确率为91%;此外,该方法仅在给出正确链的情况下,利用序列信息识别蛋白质-蛋白质相互作用界面,准确率为82%。
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来源期刊
CiteScore
19.00
自引率
0.90%
发文量
3575
审稿时长
2.5 months
期刊介绍: The Proceedings of the National Academy of Sciences (PNAS), a peer-reviewed journal of the National Academy of Sciences (NAS), serves as an authoritative source for high-impact, original research across the biological, physical, and social sciences. With a global scope, the journal welcomes submissions from researchers worldwide, making it an inclusive platform for advancing scientific knowledge.
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