Alpha-synuclein plays an important role in Parkinson's disease (PD). The current study of alpha-synuclein mainly concentrates at the gene level. However, it is found that the study at the protein level has special significance. Meanwhile, there is free information on the Internet, such as databases and algorithms of protein-protein interactions (PPIs). In this paper, a novel method which integrates distributed heterogeneous data sources and algorithms to predict PPIs for alphasynuclein in silico is proposed. The PPIs generated by the method take advantage of various experimental data, and indicate new information about PPIs for alpha-synuclein. In the end of this paper, the result illustrates that the method is practical. It is hoped that the prediction result obtained by this method can provide guidance for biological experiments of PPIs for alpha-synuclein to reveal possible mechanisms of PD.
A complete set of internal structure analyzer of polymers, developed by us, containing a small angle laser light scattering attachment, a video camera and an IBM PC /XT microcomputer as well as a packet of software system, has been presented. The 2 -D digital image processing techniques are first applied to process the scattering pattern of polymer and thus the internal structure parameters of the polymer can be quantitatively determined.The inherence of spherulite size, correlative distance and density fluctuation of low density polyethylene (LDPE) and poly-cir-budadiene rubber (PCBR) in two -phase condition have been studied. The final results are satisfactory for this study.
Computer-generated hologram for elliptical gaussian beam correction lias been investigated, detail mathematical equations of calculating hologram phase difference arc derived. The holograms which are drawn by a computer-driven plotter are given. The holographic optical elements are obtained from CGH. The experiment result to demonstrate the correct calculation is also shown in this paper.
The images of cataract eyes are analyzed and studied, making the assumption that the digital image is a spatial 2-D curved surface with different grey levels and utilizing the idea of a family of equal grey-level curves and a family of dissected grey-level curves which can be produced separately by cutting in horizontal planes and dissecting in vertical planes.
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