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Graphene oxide as a dual template for induced helicity of peptides

机译:石墨烯氧化物作为诱导双模板螺旋性的肽

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Artificial template-mediated fabrication of secondary structures within peptides always attracts great interest in biological systems due to several biomimetic interactions. In all earlier studies, a uniform template containing molecules/nanomaterials was used to target only one type of peptide at a time, which extensively limits the diversity in the generation of artificial protein surface/binding sites. This limitation can be overcome by the incorporation of more than one binding template (heterogeneity) in a single system, for example, Janus nanomaterials, which are challenging and difficult to synthesize. In this context, graphene oxide (GO) is considered an artificial binding site (template). It contains two distinctive binding zones, i.e., surface and edge, which can induce the secondary structure of peptides based on complementary interactions. To establish our concept, we have implemented a hybrid sequence i.e., i, i + 4, i + 7 and i + 11 pattern peptides, which defines a more linear surface, suitable for recognition by the two-dimensional GO. Depending on the amino acid residue at the specific locations, we observed substantial enhancement of peptide helicity either at the surface or at the edges of GO from the random coil. However, non-interacting peptides remain as a random coil. We have established this by circular dichroism study at various conditions, as well as atomic force microscopy and optical imaging study. Furthermore, we have also established our observations using molecular dynamics (MD) simulations. This study reveals that the synthesized GO-peptides composite with different secondary structures and recognition residues can mimic biological systems.
机译:人工template-mediated制造的在多肽二级结构生物系统吸引了极大的兴趣几个仿生交互。较早的研究不同的是,一个统一的模板,其中包含分子/纳米材料用于目标一种类型的肽,广泛限制了多样性的一代人工蛋白质表面结合位点。公司限制是可以克服的不止一个绑定模板(异质性)在一个单一的系统,例如,杰纳斯纳米材料,具有挑战性的和困难的合成。石墨烯氧化物(去)被认为是人为的结合位点(模板)。独特的结合区,即表面边缘,从而诱发的二级结构基于互补互动的肽。建立我们的概念,我们实现了一个混合序列即我,我+ 4 + 7 + 11模式肽,它定义了一个更线性的表面,适用于识别的二维。残留在特定的地点,我们观察到大幅增强肽的螺旋性在表面或从的边缘随机线圈。肽仍然作为一个随机线圈。通过圆二色性研究各种条件,以及原子力显微镜和光学成像研究。此外,我们还建立了观察使用分子动力学(MD)模拟。合成GO-peptides组合不同二级结构和识别残留模仿生物系统。

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