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在第30轮CAPRI中使用GALAXY对蛋白质寡聚体结构进行基于模板的建模和从头精修。

Template-based modeling and ab initio refinement of protein oligomer structures using GALAXY in CAPRI round 30.

作者信息

Lee Hasup, Baek Minkyung, Lee Gyu Rie, Park Sangwoo, Seok Chaok

机构信息

Department of Chemistry, Seoul National University, Seoul, 151-747, Republic of Korea.

出版信息

Proteins. 2017 Mar;85(3):399-407. doi: 10.1002/prot.25192. Epub 2016 Nov 4.

Abstract

Many proteins function as homo- or hetero-oligomers; therefore, attempts to understand and regulate protein functions require knowledge of protein oligomer structures. The number of available experimental protein structures is increasing, and oligomer structures can be predicted using the experimental structures of related proteins as templates. However, template-based models may have errors due to sequence differences between the target and template proteins, which can lead to functional differences. Such structural differences may be predicted by loop modeling of local regions or refinement of the overall structure. In CAPRI (Critical Assessment of PRotein Interactions) round 30, we used recently developed features of the GALAXY protein modeling package, including template-based structure prediction, loop modeling, model refinement, and protein-protein docking to predict protein complex structures from amino acid sequences. Out of the 25 CAPRI targets, medium and acceptable quality models were obtained for 14 and 1 target(s), respectively, for which proper oligomer or monomer templates could be detected. Symmetric interface loop modeling on oligomer model structures successfully improved model quality, while loop modeling on monomer model structures failed. Overall refinement of the predicted oligomer structures consistently improved the model quality, in particular in interface contacts. Proteins 2017; 85:399-407. © 2016 Wiley Periodicals, Inc.

摘要

许多蛋白质以同聚体或异聚体的形式发挥功能;因此,要理解和调节蛋白质功能,就需要了解蛋白质寡聚体结构。可用的实验性蛋白质结构数量在不断增加,寡聚体结构可以使用相关蛋白质的实验性结构作为模板来预测。然而,基于模板的模型可能会由于目标蛋白和模板蛋白之间的序列差异而存在误差,这可能导致功能差异。这种结构差异可以通过局部区域的环建模或整体结构的优化来预测。在蛋白质相互作用关键评估(CAPRI)第30轮中,我们使用了GALAXY蛋白质建模软件包最近开发的功能,包括基于模板的结构预测、环建模、模型优化和蛋白质-蛋白质对接,从氨基酸序列预测蛋白质复合物结构。在25个CAPRI目标中,分别针对14个和1个目标获得了中等质量和可接受质量的模型,对于这些目标可以检测到合适的寡聚体或单体模板。对寡聚体模型结构进行对称界面环建模成功提高了模型质量,而对单体模型结构进行环建模则失败了。对预测的寡聚体结构进行整体优化始终提高了模型质量,特别是在界面接触方面。《蛋白质》2017年;85:399 - 407。©2016威利期刊公司。

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