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The Sensor Network in Molecular Structures of PrP(113-120) AGAAAAGA Amyloid Fibrils

机译:PrP(113-120)AGAAAAGA淀粉样原纤维分子结构中的传感器网络

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The problem of locating sensors in telecommunication networks is a distance geometry problem (DGP). In such a case, the positions of some sensors are known (which are called anchors) and some of the distances between sensors (which can or cannot be anchors) are known. The DGP is to locate the positions of all the sensors. Molecular DGP (MDGP) looks sensors as atoms and their telecommunication network as a molecule for the determination of its three-dimensional (3D) structure. This Chapter defines some sensor networks for determining molecular structures of PrP(113-120) AGAAAAGA amyloid fibrils, which are unstable, noncrystalline, insoluble and hard to be determined in NMR or X-ray experimental laboratories. The amyloid fibril structure is the common structure associated with some 20 neurodegenerative amyloid diseases (including Parkinson’s, Alzheimer’s, Huntington’s, and Prions’), and other diseases such as Type II diabetes, etc. The sensor networks established in this Chapter will benefit the study of 3D molecular structures of all these diseases and will be useful in the research areas such as structural materials, computer-aided or structure-based drug design, and the computational theory of molecular dynamics, and quantum mechanics/molecular mechanics.
机译:在电信网络中定位传感器的问题是距离几何问题(DGP)。在这种情况下,一些传感器的位置是已知的(称为锚),并且传感器之间的一些距离(可以是也可以不是锚)是已知的。 DGP将定位所有传感器的位置。分子DGP(MDGP)将传感器视为原子,并将其电信网络视为用于确定其三维(3D)结构的分子。本章定义了一些传感器网络,用于确定PrP(113-120)AGAAAAGA淀粉样原纤维的分子结构,这些分子结构不稳定,非晶态,不溶且难以在NMR或X射线实验实验室中测定。淀粉样蛋白原纤维结构是与约20种神经退行性淀粉样蛋白疾病(包括帕金森氏病,阿尔茨海默氏病,亨廷顿氏病和Pr病毒病)以及其他疾病(如II型糖尿病)相关的常见结构。本章中建立的传感器网络将使研究受益所有这些疾病的3D分子结构,将在诸如结构材料,计算机辅助或基于结构的药物设计,分子动力学的计算理论以及量子力学/分子力学等研究领域中发挥作用。

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