Unfolding the Locale of Membrane Proteins within Cellular Alcove by SVM

Mehwish Faiz
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Abstract

The Membrane Proteins (MPs) on the cell membrane, is an ideal target for drug delivery owing to their distinct location on the cell membrane and intracellular structure. To locate the multitude of MPs with better accuracy, we implemented SVM on Benchmark MP Database, MemLoci Dataset. A total of 3000 proteins are selected with 1000 plasma membrane proteins, 1000 internal membrane proteins, and 1000 organelle membrane proteins. The amino acid sequence of the proteins is converted into Pseudo Amino Acid Code. After feature extraction, the data is trained and tested, yielding an overall accuracy of 78%. The output is displayed through Graphical User Interface (GUI) which discloses the category of MP based on the cellular site where they are residing.
基于支持向量机的膜蛋白定位研究
细胞膜上的膜蛋白(MPs)由于其在细胞膜上的独特位置和细胞内结构而成为药物传递的理想靶点。为了更好地定位大量的MPs,我们在Benchmark MP Database, MemLoci Dataset上实现了SVM。共选择3000种蛋白,其中1000种为质膜蛋白,1000种为内膜蛋白,1000种为细胞器膜蛋白。蛋白质的氨基酸序列被转换成伪氨基酸代码。特征提取后,对数据进行训练和测试,总体准确率为78%。输出通过图形用户界面(GUI)显示,该界面根据用户所在的蜂窝站点公开了MP的类别。
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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