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Volumn 35, Issue SUPPL.2, 2007, Pages

Advantages of combined transmembrane topology and signal peptide prediction-the Phobius web server

Author keywords

[No Author keywords available]

Indexed keywords

MEMBRANE PROTEIN; SIGNAL PEPTIDE;

EID: 34547584314     PISSN: 03051048     EISSN: 13624962     Source Type: Journal    
DOI: 10.1093/nar/gkm256     Document Type: Article
Times cited : (1275)

References (14)
  • 1
    • 0036947980 scopus 로고    scopus 로고
    • The presence of signal peptide significantly affects transmembrane topology prediction
    • Lao, D.M., Arai, M., Ikeda, M. and Shimizu, T. (2002) The presence of signal peptide significantly affects transmembrane topology prediction. Bioinformatics, 18, 1562-1566.
    • (2002) Bioinformatics , vol.18 , pp. 1562-1566
    • Lao, D.M.1    Arai, M.2    Ikeda, M.3    Shimizu, T.4
  • 2
    • 27644444255 scopus 로고    scopus 로고
    • Evaluating eukaryotic secreted protein prediction
    • Klee, E.W. and Ellis, L.B.M. (2005) Evaluating eukaryotic secreted protein prediction. BMC Bioinformatics, 6, 256.
    • (2005) BMC Bioinformatics , vol.6 , pp. 256
    • Klee, E.W.1    Ellis, L.B.M.2
  • 3
    • 2142657817 scopus 로고    scopus 로고
    • A combined transmembrane topology and signal peptide prediction method
    • Kall, L., Krogh, A. and Sonnhammer, E.L.L. (2004) A combined transmembrane topology and signal peptide prediction method. J. Mol. Biol., 338, 1027-1036.
    • (2004) J. Mol. Biol. , vol.338 , pp. 1027-1036
    • Kall, L.1    Krogh, A.2    Sonnhammer, E.L.L.3
  • 4
    • 0035910270 scopus 로고    scopus 로고
    • Predicting transmembrane protein topology with a hidden Markov model: Application to complete genomes
    • Krogh, A., Larsson, B., von Heijne, G. and Sonnhammer, E.L. (2001) Predicting transmembrane protein topology with a hidden Markov model: application to complete genomes. J. Mol. Biol., 305, 567-580.
    • (2001) J. Mol. Biol. , vol.305 , pp. 567-580
    • Krogh, A.1    Larsson, B.2    Von Heijne, G.3    Sonnhammer, E.L.4
  • 5
    • 0031240609 scopus 로고    scopus 로고
    • A neural network method for identification of prokaryotic and eukaryotic signal peptides and prediction of their cleavage sites
    • Nielsen, H., Engelbrecht, J., Brunak, S. and vonHeijne, G. (1997) A neural network method for identification of prokaryotic and eukaryotic signal peptides and prediction of their cleavage sites. Int. J. Neural Syst., 8, 581-599.
    • (1997) Int. J. Neural Syst. , vol.8 , pp. 581-599
    • Nielsen, H.1    Engelbrecht, J.2    Brunak, S.3    Vonheijne, G.4
  • 6
  • 7
    • 0025627406 scopus 로고
    • The N-best algorithm: An efficient and exact procedure for finding the N most likely sentence hypotheses
    • Schwartz, R. and Chow, Y. (1990) The N-best algorithm: an efficient and exact procedure for finding the N most likely sentence hypotheses. In Proceedings of ICASSP 1990, pp. 81-84.
    • (1990) Proceedings of ICASSP , vol.1990 , pp. 81-84
    • Schwartz, R.1    Chow, Y.2
  • 8
    • 0344406716 scopus 로고    scopus 로고
    • Reliability measures for membrane protein topology prediction algorithms
    • Melen, K., Krogh, A. and vonHeijne, G. (2003) Reliability measures for membrane protein topology prediction algorithms. J. Mol. Biol., 327, 735-744.
    • (2003) J. Mol. Biol. , vol.327 , pp. 735-744
    • Melen, K.1    Krogh, A.2    Vonheijne, G.3
  • 9
    • 19744376674 scopus 로고    scopus 로고
    • Global topology analysis of the Escherichia coli inner membrane proteome
    • Daley, D.O., Rapp, M., Granseth, E., Melen, K., Drew, D. and vonHeijne, G. (2005) Global topology analysis of the Escherichia coli inner membrane proteome. Science, 308, 1321-1323.
    • (2005) Science , vol.308 , pp. 1321-1323
    • Daley, D.O.1    Rapp, M.2    Granseth, E.3    Melen, K.4    Drew, D.5    Vonheijne, G.6
  • 10
    • 20444481683 scopus 로고    scopus 로고
    • A novel transmembrane topology of presenilin based on reconciling experimental and computational evidence
    • Henricson, A., Kall, L. and Sonnhammer, E.L.L. (2005) A novel transmembrane topology of presenilin based on reconciling experimental and computational evidence. FEBS J., 272, 2727-2733.
    • (2005) FEBS J. , vol.272 , pp. 2727-2733
    • Henricson, A.1    Kall, L.2    Sonnhammer, E.L.L.3
  • 11
    • 0024610919 scopus 로고
    • A tutorial on hidden Markov models and selected aplications in speech recognition
    • Rabiner, L. (1989) A tutorial on hidden Markov models and selected aplications in speech recognition. Proceedings of the IEEE, 77, 257-286.
    • (1989) Proceedings of the IEEE , vol.77 , pp. 257-286
    • Rabiner, L.1
  • 12
    • 29144483361 scopus 로고    scopus 로고
    • An HMM posterior decoder for sequence feature prediction that includes homology information
    • Kall, L., Krogh, A. and Sonnhammer, E.L.L. (2005) An HMM posterior decoder for sequence feature prediction that includes homology information. Bioinformatics, 21(Suppl. 1), 251-257.
    • (2005) Bioinformatics , vol.21 , Issue.SUPPL. 1 , pp. 251-257
    • Kall, L.1    Krogh, A.2    Sonnhammer, E.L.L.3
  • 13
    • 0028043552 scopus 로고
    • Position-based sequence weights
    • Henikoff, S. and Henikoff, J.G. (1994) Position-based sequence weights. J. Mol. Biol., 243, 574-578.
    • (1994) J. Mol. Biol. , vol.243 , pp. 574-578
    • Henikoff, S.1    Henikoff, J.G.2
  • 14
    • 29244447181 scopus 로고    scopus 로고
    • Kalign-an accurate and fast multiple sequence alignment algorithm
    • Lassmann, T. and Sonnhammer, E.L.L. (2005) Kalign-an accurate and fast multiple sequence alignment algorithm. BMC Bioinformatics, 6, 298.
    • (2005) BMC Bioinformatics , vol.6 , pp. 298
    • Lassmann, T.1    Sonnhammer, E.L.L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.