A new approach to detect similar proteins from 2D gel electrophoresis images

Third IEEE Symposium on Bioinformatics and Bioengineering, 2003. Proceedings. Pub Date : 2003-03-10 DOI:10.1109/BIBE.2003.1188945

Nawaz Khan, S. Rahman

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引用次数: 3

Abstract

Many algorithms are available for quantitative and qualitative analysis of protein spot in gel electrophoresis images and majority of the these algorithms use geometric and image processing techniques to match protein spots. These algorithms do not take into consideration the electrophoretic mobility of the proteins and they only match similar protein spots rather than matching similar proteins. The approach presented in this paper uses a novel technique based on electrophoretic mobility to match protein spots between source and target images. The algorithm identifies the protein spot in the target image which lies on the same line of path as it is in the source image. A shape matching algorithm using Generalized Hough Transform and Canny Edge Detection method is used to determine the shape variance. The method describes here gives an accuracy of 90% or more to identify the same or similar proteins from the target image. Finally, a dedicated target based database has been created to store a set of finite values of an element spot for correlating the 3D protein structure.

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一种从二维凝胶电泳图像中检测相似蛋白的新方法

凝胶电泳图像中蛋白质斑点的定量和定性分析算法有很多，其中大多数算法使用几何和图像处理技术来匹配蛋白质斑点。这些算法没有考虑蛋白质的电泳迁移率，它们只匹配相似的蛋白质点，而不是匹配相似的蛋白质。本文提出了一种基于电泳迁移率的新技术来匹配源图像和目标图像之间的蛋白质点。该算法识别目标图像中与源图像在同一条路径上的蛋白质点。采用广义霍夫变换和Canny边缘检测相结合的形状匹配算法来确定形状方差。本文描述的方法从目标图像中识别相同或相似的蛋白质的准确率为90%或更高。最后，建立了一个专用的基于目标的数据库来存储一组元素点的有限值，用于关联三维蛋白质结构。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Third IEEE Symposium on Bioinformatics and Bioengineering, 2003. Proceedings.

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