Prediction of novel archaeal enzymes from sequence-derived features

被引：34
|
作者：
Jensen, LJ [1 ]
Skovgaard, M [1 ]
Brunak, S [1 ]
机构：
[1] Tech Univ Denmark, Ctr Biol Sequence Anal, BioCentrum, DK-2800 Lyngby, Denmark
来源：
PROTEIN SCIENCE | 2002年 / 11卷 / 12期
关键词：
function prediction; enzyme classification; Archaea; glycosylation; secondary structure;
D O I：
10.1110/ps.0225102
中图分类号：
Q5 [生物化学]; Q7 [分子生物学];
学科分类号：
071010 ; 081704 ;
摘要：
The completely sequenced archaeal genomes potentially encode, among their many functionally uncharacterized genes, novel enzymes of biotechnological interest. We have developed a prediction method for detection and classification of enzymes from sequence alone (available at http://www.cbs.dtu.dk/services/ArchaeaFun/). The method does not make use of sequence similarity; rather, it relies on predicted protein features like cotranslational and posttranslational modifications, secondary structure, and simple physical/chemical properties.
引用
收藏
页码：2894 / 2898
页数：5
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