Structural motifs in protein cores and at protein-protein interfaces are different

被引:6
|
作者
Hadarovich, Anna [1 ,2 ]
Chakravarty, Devlina [1 ,3 ]
Tuzikov, Alexander V. [2 ]
Ben-Tal, Nir [4 ]
Kundrotas, Petras J. [1 ]
Vakser, Ilya A. [1 ,5 ]
机构
[1] Univ Kansas, Computat Biol Program, Lawrence, KS 66047 USA
[2] Natl Acad Sci, United Inst Informat Problems, Minsk, BELARUS
[3] Rutgers State Univ, Dept Chem, Camden, NJ USA
[4] Tel Aviv Univ, Dept Biochem & Mol Biol, George S Wise Fac Life Sci, Tel Aviv, Israel
[5] Univ Kansas, Dept Mol Biosci, Lawrence, KS 66045 USA
基金
美国国家卫生研究院; 以色列科学基金会; 美国国家科学基金会;
关键词
protein docking; protein modeling; protein recognition; structure prediction; ARCHITECTURES; PREFERENCES; SIMILARITY; TEMPLATES; MODEL;
D O I
10.1002/pro.3996
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Structures of proteins and protein-protein complexes are determined by the same physical principles and thus share a number of similarities. At the same time, there could be differences because in order to function, proteins interact with other molecules, undergo conformations changes, and so forth, which might impose different restraints on the tertiary versus quaternary structures. This study focuses on structural properties of protein-protein interfaces in comparison with the protein core, based on the wealth of currently available structural data and new structure-based approaches. The results showed that physicochemical characteristics, such as amino acid composition, residue-residue contact preferences, and hydrophilicity/hydrophobicity distributions, are similar in protein core and protein-protein interfaces. On the other hand, characteristics that reflect the evolutionary pressure, such as structural composition and packing, are largely different. The results provide important insight into fundamental properties of protein structure and function. At the same time, the results contribute to better understanding of the ways to dock proteins. Recent progress in predicting structures of individual proteins follows the advancement of deep learning techniques and new approaches to residue coevolution data. Protein core could potentially provide large amounts of data for application of the deep learning to docking. However, our results showed that the core motifs are significantly different from those at protein-protein interfaces, and thus may not be directly useful for docking. At the same time, such difference may help to overcome a major obstacle in application of the coevolutionary data to docking-discrimination of the intramolecular information not directly relevant to docking.
引用
收藏
页码:381 / 390
页数:10
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