Prediction of the subcellular location of apoptosis proteins
Prediction of the subcellular location of apoptosis proteins
复制标题
预测凋亡蛋白的亚细胞位置
DOI：
10.1016/j.jtbi.2006.11.010
复制
发表时间：
2007-04-21
影响因子：
2
通讯作者：
Li, Qian-Zhong
中科院分区：
文献类型：
--
作者：
Chen, Ying-Li;Li, Qian-Zhong
细胞凋亡蛋白在生物体的发育和稳态中具有核心作用。这些蛋白质对于理解程序性细胞死亡的机制非常重要。凋亡蛋白的功能与其亚细胞定位密切相关。基于凋亡蛋白的亚细胞定位主要由其氨基酸序列决定的概念，提出了一种新的凋亡蛋白亚细胞定位预测算法。利用317个凋亡蛋白一级序列的信息参数，计算了唯一的预测参数--多样性增量。通过使用扩展数据集的刀切测试，获得了比以前的其他算法更高的预测成功率。预测结果表明，孪晶氨基酸的局部组成和亲水性分布对预测蛋白质的亚细胞定位是非常有用的。(c)2006爱思唯尔有限公司保留所有权利。
Apoptosis proteins have a central role in the development and the homeostasis of an organism. These proteins are very important for understanding the mechanism of programmed cell death. The function of an apoptosis protein is closely related to its subcellular location. Based on the concept that the subcellular location of an apoptosis protein is mainly determined by its amino acid sequence, a new algorithm for prediction of the subcellular location of an apoptosis protein is proposed. By using of a distinctive set of information parameters derived from the primary sequence of 317 apoptosis proteins, the increment of diversity (ID), the sole prediction parameter, is calculated. The higher predictive success rates than the previous other algorithms is obtained by the jackknife tests using the expanded dataset. Our prediction results show that the local compositions of twin amino acids and hydropathy distribution are very useful to predict subcellular location of protein. (c) 2006 Elsevier Ltd. All rights reserved.