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Transmembrane Peptides as Sensors of the Membrane Physical State

机译:跨膜肽作为膜物理状态的传感器

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Cell membranes are commonly considered fundamental structures having multiple roles such as confinement, storage of lipids, sustain and control of membrane proteins. In spite of their importance, many aspects remain unclear. The number of lipid types is orders of magnitude larger than the number of amino acids, and this compositional complexity is not clearly embedded in any membrane model. A diffused hypothesis is that the large lipid palette permits to recruit and organize specific proteins controlling the formation of specialized lipid domains and the lateral pressure profile of the bilayer. Unfortunately, a satisfactory knowledge of lipid abundance remains utopian because of the technical difficulties in isolating definite membrane regions. More importantly, a theoretical framework where to fit the lipidomic data is still missing. In this work, we wish to utilize the amino acid sequence and frequency of the membrane proteins as bioinformatics sensors of cell bilayers. The use of an alignment-free method to find a correlation between the sequences of transmembrane portion of membrane proteins with the membrane physical state suggested a new approach for the discovery of antimicrobial peptides.
机译:细胞膜通常被认为是具有多种作用的基本结构,例如限制,脂质的储存,维持和控制膜蛋白。尽管它们很重要,但许多方面仍不清楚。脂质类型的数量比氨基酸的数量大几个数量级,并且这种组成复杂性并未清楚地嵌入任何膜模型中。弥散的假设是,大的脂质结构允许募集和组织控制特定脂质结构域形成和双层压力分布的特定蛋白质。不幸的是,由于在分离确定的膜区域方面的技术困难,对脂质丰度的令人满意的知识仍然是乌托邦式的。更重要的是,仍然缺少适合脂质组学数据的理论框架。在这项工作中,我们希望利用膜蛋白的氨基酸序列和频率作为细胞双层的生物信息学传感器。使用无比对方法来发现膜蛋白的跨膜部分序列与膜物理状态之间的相关性,为发现抗菌肽提供了一种新方法。

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