cellsarts (2022-02-28 15:24):
#Paper Computational  prediction of secreted  proteins in  gram-negative bacteria #linkhttp://creativecommons.org/licenses/by-nc-nd/4.0/ https://doi.org/10.1016/j.csbj.2021.03.019   导读:革兰氏阴性菌控制多种蛋白质分泌系统,并分泌大量的蛋白质。蛋白质可以被输出到细胞周质空间,整合到细胞膜,运输到细胞外环境,或转运到与之相互接触细胞的细胞质中。本文根据革兰氏阴性菌分泌系总结了这些蛋白的已知特征,并对其预测算法和工具进行了综述。文章是基于大量的文章阅读,没有做其它的实验的验证。除通常的SEC途径及TAT途径,还介绍了之前不常见的几个途径。个人的意见-关于在革兰氏阴性细菌中,SEC途径及TAT途径仅用于内膜蛋白及细胞周质空间蛋白转运的结论下的太早了,更广的范围内的其它的实验数据,有可能会推翻那一个论断。
Computational prediction of secreted proteins in gram-negative bacteria
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Abstract:
Gram-negative bacteria harness multiple protein secretion systems and secrete a large proportion of the proteome. Proteins can be exported to periplasmic space, integrated into membrane, transported into extracellular milieu, or translocated into cytoplasm of contacting cells. It is important for accurate, genome-wide annotation of the secreted proteins and their secretion pathways. In this review, we systematically classified the secreted proteins according to the types of secretion systems in Gram-negative bacteria, summarized the known features of these proteins, and reviewed the algorithms and tools for their prediction.
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