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

Jensen, LJ, Skovgaard, M & Brunak, S 2002, 'Prediction of novel archaeal enzymes from sequence-derived features', Protein Science, vol. 11, no. 12, pp. 2894-8. https://doi.org/10.1110/ps.0225102

APA

Jensen, L. J., Skovgaard, M., & Brunak, S. (2002). Prediction of novel archaeal enzymes from sequence-derived features. Protein Science, 11(12), 2894-8. https://doi.org/10.1110/ps.0225102

Vancouver

Jensen LJ, Skovgaard M, Brunak S. Prediction of novel archaeal enzymes from sequence-derived features. Protein Science. 2002;11(12):2894-8. https://doi.org/10.1110/ps.0225102

Author

Jensen, Lars Juhl ; Skovgaard, Marie ; Brunak, Søren. / Prediction of novel archaeal enzymes from sequence-derived features. In: Protein Science. 2002 ; Vol. 11, No. 12. pp. 2894-8.

Bibtex

@article{772a3c0a4d524b00a58868fe6edb8f10,
title = "Prediction of novel archaeal enzymes from sequence-derived features",
abstract = "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.",
author = "Jensen, {Lars Juhl} and Marie Skovgaard and S{\o}ren Brunak",
year = "2002",
doi = "10.1110/ps.0225102",
language = "English",
volume = "11",
pages = "2894--8",
journal = "Protein Science",
issn = "0961-8368",
publisher = "Wiley-Blackwell",
number = "12",

}

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