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Volumn 3, Issue , 2006, Pages 39-48

Protein subcellular localization prediction with WoLF PSORT

Author keywords

[No Author keywords available]

Indexed keywords

AMINO ACID SEQUENCE; ANIMAL PROTEINS; PLANT PROTEINS; PROTEIN SUBCELLULAR LOCALIZATION; PROTEIN SUBCELLULAR LOCALIZATION PREDICTION; SEQUENCE DATA; SWISS-PROT;

EID: 84856980739     PISSN: 17516404     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (201)

References (13)
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    • Protein localization prediction
    • Limsoon Wong, editor. World Scientific, 5 Toh Tuck Link, Singapore 596224
    • Paul Horton, Yuri Mukai, and Kenta Nakai. Protein localization prediction. In Limsoon Wong, editor, The Practical Bioinformatician, pages 193-215. World Scientific, 5 Toh Tuck Link, Singapore 596224, 2004.
    • (2004) The Practical Bioinformatician , pp. 193-215
    • Horton, P.1    Mukai, Y.2    Nakai, K.3
  • 8
    • 0035138449 scopus 로고    scopus 로고
    • Ambient pH signaling regulates nuclear localization of the Aspergillus nidulans PacC transcription factor
    • DOI 10.1128/MCB.21.5.1688-1699.2001
    • José M. Mingot, Eduardo A. Espeso, Eliecer Díez, and Miguel A. Peñalva. Ambient pH signaling regulates nuclear localization of the aspergillus nidulans PacC transcription factor. Molecular and Cellular Biology, 21(5):1688-1699, March 2001. (Pubitemid 32156389)
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    • Mingot, J.M.1    Espeso, E.A.2    Diez, E.3    Penalva, M.A.4
  • 9
    • 0027105007 scopus 로고
    • A knowledge base for predicting protein localization sites in eukaryotic cells
    • DOI 10.1016/S0888-7543(05)80111-9
    • Kenta Nakai and Minoru Kanehisa. A knowledge base for predicting protein localization sites in eukaryotic cells. Genomics, 14:897-911, 1992. (Pubitemid 23053027)
    • (1992) Genomics , vol.14 , Issue.4 , pp. 897-911
    • Nakai, K.1    Kanehisa, M.2
  • 10
    • 0033044637 scopus 로고    scopus 로고
    • Machine learning approaches for the prediction of signal peptides and other protein sorting signals
    • Henrik Nielsen. Machine learning approaches for the prediction of signal peptides and other protein sorting signals. Protein Engineering, 12(1):3-9, 1999. (Pubitemid 29050535)
    • (1999) Protein Engineering , vol.12 , Issue.1 , pp. 3-9
    • Nielsen, H.1    Brunak, S.2    Von Heijne, G.3
  • 11
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    • Identification of prokaryotic and eukaryotic signal peptides and prediction of their cleavage sites
    • Henrik Nielsen, Jacob Engelbrecht, Søren Brunak, and Gunnar von Heijne. Identification of prokaryotic and eukaryotic signal peptides and prediction of their cleavage sites. Protein Engineering, 10:1-6, 1997.
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    • Correlation of the amino acid composition of a protein to its structural and biological characters
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  • 13
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.