Prediction of novel archaeal enzymes from sequence-derived features.

by: LJ Jensen, M Skovgaard, S Brunak

Protein Sci, Vol. 11, No. 12. (December 2002), pp. 2894-2898.

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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.

@article{citeulike:2580943, 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 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.}, address = {Center for Biological Sequence Analysis, BioCentrum-DTU, The Technical University of Denmark, DK-2800 Lyngby, Denmark.}, author = {Jensen, L. J. and Skovgaard, M. and Brunak, S. }, citeulike-article-id = {2580943}, issn = {0961-8368}, journal = {Protein Sci}, keywords = {function, machine-learning, protein-features}, month = {December}, number = {12}, pages = {2894--2898}, posted-at = {2008-03-24 15:10:47}, priority = {0}, title = {Prediction of novel archaeal enzymes from sequence-derived features.}, url = {http://view.ncbi.nlm.nih.gov/pubmed/12441387}, volume = {11}, year = {2002} }

RIS record

TY - JOUR ID - citeulike:2580943 L3 - citeulike-article-id:2580943 TI - Prediction of novel archaeal enzymes from sequence-derived features. JF - Protein Sci VL - 11 IS - 12 SP - 2894 EP - 2898 AD - Center for Biological Sequence Analysis, BioCentrum-DTU, The Technical University of Denmark, DK-2800 Lyngby, Denmark. SN - 0961-8368 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 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. KW - function KW - machine-learning KW - protein-features AU - Jensen, LJ AU - Skovgaard, M AU - Brunak, S PY - 2002/12// UR - http://view.ncbi.nlm.nih.gov/pubmed/12441387 ER -

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