Prediction of novel archaeal enzymes from sequence-derived features
Research output: Contribution to journal › Journal article › Research › peer-review
Standard
Prediction of novel archaeal enzymes from sequence-derived features. / Jensen, Lars Juhl; Skovgaard, Marie; Brunak, Søren.
In: Protein Science, Vol. 11, No. 12, 2002, p. 2894-8.Research output: Contribution to journal › Journal article › Research › peer-review
Harvard
APA
Vancouver
Author
Bibtex
}
RIS
TY - JOUR
T1 - Prediction of novel archaeal enzymes from sequence-derived features
AU - Jensen, Lars Juhl
AU - Skovgaard, Marie
AU - Brunak, Søren
PY - 2002
Y1 - 2002
N2 - 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 https://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.
AB - 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 https://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.
U2 - 10.1110/ps.0225102
DO - 10.1110/ps.0225102
M3 - Journal article
C2 - 12441387
VL - 11
SP - 2894
EP - 2898
JO - Protein Science
JF - Protein Science
SN - 0961-8368
IS - 12
ER -
ID: 40740807