Nugues P M
Centre de Recherche et Informatique de Nancy, Vandoeuvre, France.
IEEE Trans Biomed Eng. 1993 Aug;40(8):760-70. doi: 10.1109/10.238460.
A novel method to interpret two-dimensional electrophoresis gels is presented. Genetic background and electrophoretic processes are summarized. Present methods to analyze gel images and to exploit series of gels are described, then their drawbacks are outlined. Artificial Intelligence techniques are introduced to build an image interpretation system which can compensate for certain failures of present methods and augment their efficiency. By reproducing methods of biological experts, this system automatically identifies proteins--whether isolated or inside constellations--on an electrophoretic gel. This system is based on a modular architecture, featuring image processing procedures, which allows extraction of parameters on the image and a top-down and bottom-up reasoning process. The reasoning process first matches extracted parameters to possible geometric models of proteins; it then returns to the image to determine possible missing elements on the gel. A prototype of this system was implemented and tested on plasma gels to identify apolipoproteins.
本文提出了一种解释二维电泳凝胶的新方法。总结了遗传背景和电泳过程。描述了当前分析凝胶图像和利用一系列凝胶的方法，然后概述了它们的缺点。引入人工智能技术来构建一个图像解释系统，该系统可以弥补当前方法的某些不足并提高其效率。通过重现生物学专家的方法，该系统可自动识别电泳凝胶上的蛋白质——无论是分离的还是在蛋白簇中的。该系统基于模块化架构，具有图像处理程序，可提取图像上的参数并进行自上而下和自下而上的推理过程。推理过程首先将提取的参数与蛋白质可能的几何模型进行匹配；然后回到图像以确定凝胶上可能缺失的元素。该系统的一个原型已在血浆凝胶上实现并进行测试，以识别载脂蛋白。
