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

页码：2894 / 2898

页数：5

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