Prediction of human protein function from post-translational modifications and localization features
Prediction of human protein function from post-translational modifications and localization features
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DOI：
10.1016/s0022-2836(02)00379-0
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发表时间：
2002-06-21
影响因子：
5.6
通讯作者：
Brunak, S
中科院分区：
文献类型：
--
作者：
Jensen, LJ;Gupta, R;Brunak, S
我们已经开发了一种完全基于序列的方法，它可以识别和整合相关特征，这些特征可以用于将未知功能的蛋白质分配到功能类别，以及酶的酶类别。我们表明，阐明蛋白质功能的策略可能受益于一些功能属性，这些属性与氨基酸的线性序列更直接相关，因此比蛋白质结构更容易预测。这些属性包括与翻译后修饰和蛋白质分选相关的特征，但也包括更简单的方面，如多肽链的长度、等电点和组成。(C)2002爱思唯尔科学有限公司。保留所有权利。
We have developed an entirely sequence-based method that identifies and integrates relevant features that can be used to assign proteins of unknown function to functional classes, and enzyme categories for enzymes. We show that strategies for the elucidation of protein function may benefit from a number of functional attributes that are more directly related to the linear sequence of amino acids, and hence easier to predict, than protein structure. These attributes include features associated with post-translational modifications and protein sorting, but also much simpler aspects such as the length, isoelectric point and composition of the polypeptide chain. (C) 2002 Elsevier Science Ltd. All rights reserved.