A lack of peptide binding and decreased thermostability suggests that the CASKIN2 scaffolding protein SH3 domain may be vestigial

IF 2.222 Q3 Biochemistry, Genetics and Molecular Biology BMC Structural Biology Pub Date : 2016-09-13 DOI:10.1186/s12900-016-0065-5
Jamie J. Kwan, Logan W. Donaldson
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引用次数: 10

Abstract

CASKIN2 is a neuronal signaling scaffolding protein comprised of multiple ankyrin repeats, two SAM domains, and one SH3 domain. The CASKIN2 SH3 domain for an NMR structural determination because its peptide-binding cleft appeared to deviate from the repertoire of aromatic enriched amino acids that typically bind polyproline-rich sequences.

The structure demonstrated that two non-canonical basic amino acids (K290/R319) in the binding cleft were accommodated well in the SH3 fold. An K290Y/R319W double mutant restoring the typical aromatic amino acids found in the binding cleft resulted in a 20?°C relative increase in the thermal stability. Considering the reduced stability, we speculated that the CASKIN2 SH3 could be a nonfunctional remnant in this scaffolding protein.

While the NMR structure demonstrates that the CASKIN2 SH3 domain is folded, its cleft has suffered two substitutions that prevent it from binding typical polyproline ligands. This observation led us to additionally survey and describe other SH3 domains in the Protein Data Bank that may have similarly lost their ability to promote protein-protein interactions.

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缺乏肽结合和热稳定性下降表明CASKIN2支架蛋白SH3结构域可能是退化的
CASKIN2是一种神经元信号支架蛋白,由多个锚蛋白重复序列、两个SAM结构域和一个SH3结构域组成。CASKIN2 SH3结构域的核磁共振结构测定,因为它的肽结合裂缝似乎偏离了芳香富集氨基酸的库,通常结合富含脯氨酸的序列。该结构表明,结合间隙中的两个非规范碱性氨基酸(K290/R319)在SH3折叠中被很好地容纳。K290Y/R319W双突变体恢复了在结合间隙中发现的典型芳香氨基酸,导致20?°C相对增加热稳定性。考虑到稳定性降低,我们推测CASKIN2 SH3可能是该支架蛋白的无功能残基。虽然核磁共振结构表明CASKIN2 SH3结构域是折叠的,但它的裂缝遭受了两次取代,使其无法与典型的脯氨酸配体结合。这一观察结果使我们进一步调查和描述了蛋白质数据库中可能同样失去促进蛋白质相互作用能力的其他SH3结构域。
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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%
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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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