A novel approach for prediction of multi-labeled protein subcellular localization for prokaryotic bacteria

2005 IEEE Computational Systems Bioinformatics Conference, Workshops and Poster Abstracts

Volumn , Issue , 2005, Pages 79-80

  Su, Chia Yu ^a   Lo, Allan ^a   Lin, Chin Chin ^a   Chang, Fu ^a   Hsu, Wen Lian ^a  

^a INSTITUTE OF INFORMATION SCIENCE   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

AMINO ACIDS; BACTERIA; CYTOLOGY; FUNCTION EVALUATION; LEARNING SYSTEMS; MOLECULAR BIOLOGY;

GENE ONTOLOGY (GO); PROKARYOTIC BACTERIA; SUPPORT VECTOR MACHINES (SVM);

PROTEINS;

EID: 33749069488     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CSBW.2005.11     Document Type: Conference Paper

References (8)

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4. Nakai, K. and M. Kanehisa, "Expert system for predicting protein localization sites in Gram-negative bacteria", Proteins (1991), 11:95-110.
5. Gardy, J.L. et al. "PSORT-B: improving protein subcellular localization prediction for Gram-negative bacteria", Nucleic Acid Res. (2003), 31:3613-3617.
6. Yu, C.S., C.J Lin. and J.K. Hwang, "Predicting subcellular localization of proteins for Gram-negative bacteria by support vector machines based on n-peptide compositions", Protein Science (2004), 13:1402-1406
7. Ashburner, M. et al. "Gene ontology: tool for the unification biology", Nat. Genet. (2000), 25:25-29.
8. Chou, K.C. and Y.D Cai. "A new hybrid approach to predict subcellular localization of proteins by incorporating Gene ontology", Biochem. Biophys. Res. Commun. (2003), 311:743-747.