Structural prerequisites for CRM1-dependent nuclear export signaling peptides: accessibility, adapting conformation, and the stability at the binding site

被引:19
作者
Lee, Yoonji [1 ]
Pei, Jimin [2 ]
Baumhardt, Jordan M. [3 ]
Chook, Yuh Min [3 ]
Grishin, Nick V. [1 ,2 ]
机构
[1] Univ Texas Southwestern Med Ctr Dallas, Dept Biophys, Dallas, TX 75390 USA
[2] Univ Texas Southwestern Med Ctr Dallas, Howard Hughes Med Inst, Dallas, TX 75390 USA
[3] Univ Texas Southwestern Med Ctr Dallas, Dept Pharmacol, Dallas, TX 75390 USA
基金
美国国家卫生研究院;
关键词
CRM1; PREDICTION; DATABASE; TRANSPORT; SEQUENCE; FEATURES; RECEPTOR; SEARCH; DOMAIN; NESDB;
D O I
10.1038/s41598-019-43004-0
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Nuclear export signal (NES) motifs function as essential regulators of the subcellular location of proteins by interacting with the major nuclear exporter protein, CRM1. Prediction of NES is of great interest in many aspects of research including cancer, but currently available methods, which are mostly based on the sequence-based approaches, have been suffered from high false positive rates since the NES consensus patterns are quite commonly observed in protein sequences. Therefore, finding a feature that can distinguish real NES motifs from false positives is desired to improve the prediction power, but it is quite challenging when only using the sequence. Here, we provide a comprehensive table for the validated cargo proteins, containing the location of the NES consensus patterns with the disordered propensity plots, known protein domain information, and the predicted secondary structures. It could be useful for determining the most plausible NES region in the context of the whole protein sequence and suggests possibilities for some non-binders of the annotated regions. In addition, using the currently available crystal structures of CRM1 bound to various classes of NES peptides, we adopted, for the first time, the structure-based prediction of the NES motifs bound to the CRM1's binding groove. Combining sequence-based and structure-based predictions, we suggest a novel and more straightforward approach to identify CRM1-binding NES sequences by analysis of their structural prerequisites and energetic evaluation of the stability at the CRM1's binding site.
引用
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页数:13
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