Rosetta Broker for membrane protein structure prediction: concentrative nucleoside transporter 3 and corticotropin-releasing factor receptor 1 test cases

IF 2.222 Q3 Biochemistry, Genetics and Molecular Biology
Dorota Latek
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引用次数: 6

Abstract

Membrane proteins are difficult targets for structure prediction due to the limited structural data deposited in Protein Data Bank. Most computational methods for membrane protein structure prediction are based on the comparative modeling. There are only few de novo methods targeting that distinct protein family. In this work an example of such de novo method was used to structurally and functionally characterize two representatives of distinct membrane proteins families of solute carrier transporters and G protein-coupled receptors. The well-known Rosetta program and one of its protocols named Broker was used in two test cases. The first case was de novo structure prediction of three N-terminal transmembrane helices of the human concentrative nucleoside transporter 3 (hCNT3) homotrimer belonging to the solute carrier 28 family of transporters (SLC28). The second case concerned the large scale refinement of transmembrane helices of a homology model of the corticotropin-releasing factor receptor 1 (CRFR1) belonging to the G protein-coupled receptors family.

The inward-facing model of the hCNT3 homotrimer was used to propose the functional impact of its single nucleotide polymorphisms. Additionally, the 100?ns molecular dynamics simulation of the unliganded hCNT3 model confirmed its validity and revealed mobility of the selected binding site and homotrimer interface residues. The large scale refinement of transmembrane helices of the CRFR1 homology model resulted in the significant improvement of its accuracy with respect to the crystal structure of CRFR1, especially in the binding site area. Consequently, the antagonist CP-376395 could be docked with Autodock VINA to the CRFR1 model without any steric clashes.

The presented work demonstrated that Rosetta Broker can be a versatile tool for solving various issues referring to protein biology. Two distinct examples of de novo membrane protein structure prediction presented here provided important insights into three major areas of protein biology. Namely, the dynamics of the inward-facing hCNT3 homotrimer system, the structural changes of the CRFR1 receptor upon the antagonist binding and finally, the role of single nucleotide polymorphisms in both, hCNT3 and CRFR1 proteins, were investigated.

Abstract Image

用于膜蛋白结构预测的Rosetta Broker:浓缩核苷转运蛋白3和促肾上腺皮质激素释放因子受体1测试案例
由于蛋白质数据库中储存的结构数据有限,膜蛋白是难以进行结构预测的目标。大多数膜蛋白结构预测的计算方法是基于比较建模的。只有很少的新方法针对这种独特的蛋白质家族。在这项工作中,这种从头开始的方法的一个例子被用来在结构和功能上表征溶质载体转运体和G蛋白偶联受体两种不同膜蛋白家族的代表。在两个测试用例中使用了著名的Rosetta程序及其一个名为Broker的协议。第一个案例是对属于溶质载体28转运体家族(SLC28)的人类浓缩核苷转运体3 (hCNT3)同源三聚体的三个n端跨膜螺旋的从头结构预测。第二个案例涉及G蛋白偶联受体家族的促肾上腺皮质激素释放因子受体1 (CRFR1)同源模型的跨膜螺旋的大规模改进。hCNT3同源三聚体的内向模型被用来提出其单核苷酸多态性对功能的影响。此外,100?非配体hCNT3模型的ns分子动力学模拟证实了其有效性,并揭示了所选择的结合位点和同源三聚体界面残基的迁移性。对CRFR1同源性模型的跨膜螺旋进行大规模的细化,使得其在CRFR1晶体结构方面的准确性,特别是在结合位点区域的准确性有了显著提高。因此,拮抗剂CP-376395可以与Autodock VINA对接到CRFR1模型,而不会产生任何空间冲突。所提出的工作表明,Rosetta Broker可以成为解决蛋白质生物学中各种问题的通用工具。这里提出的两个不同的从头膜蛋白结构预测的例子为蛋白质生物学的三个主要领域提供了重要的见解。即,研究了内向hCNT3同源三聚体系统的动力学,拮抗剂结合时CRFR1受体的结构变化,以及单核苷酸多态性在hCNT3和CRFR1蛋白中的作用。
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
BMC Structural Biology
BMC Structural Biology 生物-生物物理
CiteScore
3.60
自引率
0.00%
发文量
0
期刊介绍: BMC Structural Biology is an open access, peer-reviewed journal that considers articles on investigations into the structure of biological macromolecules, including solving structures, structural and functional analyses, and computational modeling.
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