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首页> 外文期刊>ACS Omega >Design of a Peptide-Based Model Leads for Scavenging Anions
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Design of a Peptide-Based Model Leads for Scavenging Anions

机译:基于肽的模型的设计扫除阴离子的设计

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Among several peptide-based anion recognition motifs, the “C~(α)NN” motif containing C –1) α), N_(0), and N_(+1) of three consecutive residues is unique in its mode of interaction. Having a spatial geometry of βαα or βαβ, this motif occurs in the N terminus of a helix and often found at the functional interface of a protein, mediating crucial biological significance upon interaction with anion(s). The interaction of anion(s) with chimeric peptide sequences containing the naturally occurring “C~(α)NN” motif (CPS224Ac, CPS226, and CPS228) reported in our previous attempts strongly confirms that the information regarding the interaction is embedded within the local sequences of the motif segment. At these prevailing circumstances, an effort has been pursued to design novel scaffolds based on the “C~(α)NN” motif for achieving better recognition of anion(s). Exploring the existing data set of the “C~(α)NN” motif available in the FSSP database, four novel peptide-based scaffolds have been designed (DS1, DS2, DS3, and DS4), and preliminary screenings have been performed using computational approaches. Our initial work suggests that two (DS1 and DS3) out of the four scaffolds are potential candidates for better anion recognition. By employing biophysical characterization using both qualitative and quantitative measures, in this present study, we report the interaction of sulfate and phosphate ions with these two designed scaffolds, in which there is much better recognition of anions by these scaffolds than the natural sequences, justifying their logical engineering. Our observation strongly suggests that these designed scaffolds are better potential candidates than those of the naturally occurring “C~(α)NN” motif in terms of anion recognition and could be utilized for the scavenging of anion(s) for different purposes.
机译:在几种基于肽的阴离子识别基序中,三个连续残基的“C〜(α)Nn”含有C-1)α的N_(0)和N _(+ 1)在其相互作用模式中是独一无二的。具有βαα或βαβ的空间几何形状,该基序在螺旋的N末端发生并且经常在蛋白质的功能界面中发现,在与阴离子相互作用时介导关键的生物学意义。阴离子与含有天然存在的“C〜(α)NN”基序(CPS224AC,CPS226和CPS228)的嵌合肽序列的相互作用在我们之前的尝试中报告的是强烈证实,互动的信息嵌入在当地内图案段的序列。在这些普遍存在的情况下,一项努力设计了基于“C〜(α)NN”主题的新型支架,以实现更好地识别阴离子。探索FSSP数据库中可用的“C〜(α)NN”图案的现有数据集,设计了四种新型肽的支架(DS1,DS2,DS3和DS4),并使用计算进行了初步筛选方法。我们的初始工作表明,四个脚手架中的两个(DS1和DS3)是更好的阴离子识别的潜在候选者。通过使用使用定性和定量措施的生物物理表征,在本发明的研究中,我们报告了硫酸盐和磷酸盐离子与这两个设计的支架的相互作用,其中这些支架比天然序列更好地识别阴离子,证明其逻辑工程。我们的观察强烈建议,这些设计的脚手架是在阴离子识别方面的天然存在的“C〜(α)NN”主题的潜在候选者,并且可以用于对不同目的的阴离子清除阴离子。

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