-
1
-
-
0036187913
-
Extensive feature detection of N-terminal protein sorting signals
-
H. Bannai, Y. Tamada, O. Maruyama, K. Nakai, and S. Miyano. Extensive feature detection of n-terminal protein sorting signals. Bioinformatics, 18(2):298-305, 2002. (Pubitemid 34183107)
-
(2002)
Bioinformatics
, vol.18
, Issue.2
, pp. 298-305
-
-
Bannai, H.1
Tamada, Y.2
Maruyama, O.3
Nakai, K.4
Miyano, S.5
-
2
-
-
3042521098
-
Improved prediction of signal peptides: SignalP 3.0
-
DOI 10.1016/j.jmb.2004.05.028, PII S0022283604005972
-
J.-D. Bendtsen, H. Nielsen, G. von Heijne, and S. Brunak. Improved prediction of signal peptides: SignalP 3.0. J. Mol. Biol., 340(4):783-795, 2004. (Pubitemid 38829638)
-
(2004)
Journal of Molecular Biology
, vol.340
, Issue.4
, pp. 783-795
-
-
Bendtsen, J.D.1
Nielsen, H.2
Von Heijne, G.3
Brunak, S.4
-
3
-
-
19544388127
-
PSLpred: Prediction of subcellular localization of bacterial proteins
-
DOI 10.1093/bioinformatics/bti309
-
M. Bhasin, A. Garg, and G.-P.-S. Raghava. PSLpred: prediction of subcellular localization of bacterial proteins. Bioinformatics, 21(10):2522-2524, 2005. (Pubitemid 40731613)
-
(2005)
Bioinformatics
, vol.21
, Issue.10
, pp. 2522-2524
-
-
Bhasin, M.1
Garg, A.2
Raghava, G.P.S.3
-
4
-
-
3242877807
-
ESLpred: SVM-based method for subcellular localization of eukaryotic proteins using dipeptide composition and PSI-BLAST
-
DOI 10.1093/nar/gkh350
-
M. Bhasin and G. P. S. Raghava. ESLpred: SVM-based method for subcellular localization of eukaryotic proteins using dipeptide composition and PSI-BLAST. Nucleic Acids Res., 32(Web Server Issue):W414-W419, 2004. (Pubitemid 38997368)
-
(2004)
Nucleic Acids Research
, vol.32
, Issue.WEB SERVER ISS.
-
-
Bhasin, M.1
Raghava, G.P.S.2
-
5
-
-
0029915525
-
Computational method to predict mitochondrially imported proteins and their targeting sequences
-
M.-G. Claros and P. Vincens. Computational method to predict mitochondrially imported proteins and their targeting sequences. Eur. J. Biochem., 241(3):779-786, 1996. (Pubitemid 26379380)
-
(1996)
European Journal of Biochemistry
, vol.241
, Issue.3
, pp. 779-786
-
-
Claros, M.G.1
Vincens, P.2
-
6
-
-
0034331073
-
Finding nuclear localization signals
-
M. Cokol, R. Nair, and B. Rost. Finding nuclear localization signals. EMBO Rep., 1(5):411-415, 2000.
-
(2000)
EMBO Rep.
, vol.1
, Issue.5
, pp. 411-415
-
-
Cokol, M.1
Nair, R.2
Rost, B.3
-
7
-
-
0002900451
-
Ensemble methods in machine learning
-
T. G. Dietterich. Ensemble methods in machine learning. In Proc. MCS, 2000.
-
(2000)
Proc. MCS
-
-
Dietterich, T.G.1
-
8
-
-
0042434885
-
Ensemble learning
-
M. A. Arbib, editor, MIT Press, second edition
-
T. G. Dietterich. Ensemble learning. In M. A. Arbib, editor, The Handbook of Brain Theory and Neural Networks, pages 405-408. MIT Press, second edition, 2003.
-
(2003)
The Handbook of Brain Theory and Neural Networks
, pp. 405-408
-
-
Dietterich, T.G.1
-
9
-
-
24644450611
-
Predicting protein subcellular localization: Past, present, and future
-
P. Dönnes and A. Höglund. Predicting protein subcellular localization: Past, present, and future. Geno. Prot. Bioinfo., 2(4):209-215, 2004.
-
(2004)
Geno. Prot. Bioinfo.
, vol.2
, Issue.4
, pp. 209-215
-
-
Dönnes, P.1
Höglund, A.2
-
10
-
-
15844431346
-
PSORTb v.2.0: Expanded prediction of bacterial protein subcellular localization and insights gained from comparative proteome analysis
-
DOI 10.1093/bioinformatics/bti057
-
J. L. Gardy, M. R. Laird, F. Chen, S. Rey, C. J.Walsh, M. Ester, and F. S. L. Brinkman. PSORTb v.2.0: expanded prediction of bacterial protein subcellular localization and insights gained from comparative proteome analysis. Bioinformatics, 21(5):617-623, 2005. (Pubitemid 40424787)
-
(2005)
Bioinformatics
, vol.21
, Issue.5
, pp. 617-623
-
-
Gardy, J.L.1
Laird, M.R.2
Chen, F.3
Rey, S.4
Walsh, C.J.5
Ester, M.6
Brinkman, F.S.L.7
-
11
-
-
0042622254
-
PSORT-B: Improving protein subcellular localization prediction for Gram-negative bacteria
-
DOI 10.1093/nar/gkg602
-
J. L. Gardy, C. Spencer, K.Wang,M. Ester, G. E. Tusnady, I. Simon, S. Hua, K. deFays, C. Lambert, K. Nakai, and F. S. L. Brinkman. PSORT-B: improving protein subcellular localization prediction for gram-negative bacteria. Nucleic Acids Res., 31(13):3613-3617, 2003. (Pubitemid 37442208)
-
(2003)
Nucleic Acids Research
, vol.31
, Issue.13
, pp. 3613-3617
-
-
Gardy, J.L.1
Spencer, C.2
Wang, K.3
Ester, M.4
Tusnady, G.E.5
Simon, I.6
Hua, S.7
DeFays, K.8
Lambert, C.9
Nakai, K.10
Brinkman, F.S.L.11
-
12
-
-
17644389617
-
Support vector machine-based method for subcellular localization of human proteins using amino acid compositions, their order, and similarity search
-
DOI 10.1074/jbc.M411789200
-
A. Garg,M. Bhasin, and G. P. S. Raghava. Support vector machine-based method for subcellular localization of human proteins using amino acid compositions, their order, and similarity search. J. Biol. Chem., 280(15):14427-14432, 2005. (Pubitemid 40562782)
-
(2005)
Journal of Biological Chemistry
, vol.280
, Issue.15
, pp. 14427-14432
-
-
Garg, A.1
Bhasin, M.2
Raghava, G.P.S.3
-
13
-
-
3242875263
-
MITOPRED: A genome-scale method for prediction of nucleus-encoded mitchondrial proteins
-
DOI 10.1093/bioinformatics/bth171
-
C. Guda, E. Fahy, and S. Subramaniam. MITOPRED: a genome-scale method for prediction of nucleus-encoded mitochondrial proteins. Bioinformatics, 20(11):1785-1794, 2004. (Pubitemid 39162055)
-
(2004)
Bioinformatics
, vol.20
, Issue.11
, pp. 1785-1794
-
-
Guda, C.1
Fahy, E.2
Subramaniam, S.3
-
15
-
-
0034843744
-
Support vector machine approach for protein subcellular localization prediction
-
S. Hua and Z. Sun. Support vector machine approach for protein subcellular localization prediction. Bioinformatics, 17(8):721-728, 2001. (Pubitemid 32851380)
-
(2001)
Bioinformatics
, vol.17
, Issue.8
, pp. 721-728
-
-
Hua, S.1
Sun, Z.2
-
16
-
-
0347093598
-
Prediction of protein subcellular locations using fuzzy k-NN method
-
DOI 10.1093/bioinformatics/btg366
-
Y. Huang and Y. Li. Prediction of protein subcellular locations using fuzzy k-NN method. Bioinformatics, 20(1):21-28, 2004. (Pubitemid 38088336)
-
(2004)
Bioinformatics
, vol.20
, Issue.1
, pp. 21-28
-
-
Huang, Y.1
Li, Y.2
-
17
-
-
1942505330
-
Predicting subcellular localization of proteins for Gram-negative bacteria by support vector machines based on n-peptide compositions
-
DOI 10.1110/ps.03479604
-
J.-K. Hwang, C.-J. Lin, and C.-S. Yu. Predicting subcellular localization of proteins for gramnegative bacteria by support vector machines based on n-peptide compositions. Protein Science, 13:1402-1406, 2004. (Pubitemid 38526105)
-
(2004)
Protein Science
, vol.13
, Issue.5
, pp. 1402-1406
-
-
Yu, C.-S.1
Lin, C.-J.2
Hwang, J.-K.3
-
18
-
-
33646861792
-
MultiLoc: Prediction of protein subcellular localization using N-terminal targeting sequences, sequence motifs and amino acid composition
-
DOI 10.1093/bioinformatics/btl002
-
A. Höglund, P.Dönnes, T. Blum, H.-W.Adolph, and O. Kohlbacher.MultiLoc: prediction of protein subcellular localization using N-terminal targeting sequences, sequence motifs and amino acid composition. Bioinformatics, 22(10):1158-1165, 2006. (Pubitemid 43779005)
-
(2006)
Bioinformatics
, vol.22
, Issue.10
, pp. 1158-1165
-
-
Hoglund, A.1
Donnes, P.2
Blum, T.3
Adolph, H.-W.4
Kohlbacher, O.5
-
19
-
-
1542400030
-
Predicting subcellular localization of proteins using machine-learned classifiers
-
DOI 10.1093/bioinformatics/btg447
-
Z. Lu, D. Szafron, R. Greiner, P. Lu, D.S.Wishart, B. Poulin, J. Anvik, C.Macdonell, and R. Eisner. Predicting subcellular localization of proteins using machine-learned classifiers. Bioinformatics, 20(4):547-556, 2004. (Pubitemid 38344335)
-
(2004)
Bioinformatics
, vol.20
, Issue.4
, pp. 547-556
-
-
Lu, Z.1
Szafron, D.2
Greiner, R.3
Lu, P.4
Wishart, D.S.5
Poulin, B.6
Anvik, J.7
Macdonell, C.8
Eisner, R.9
-
20
-
-
0032972509
-
PSORT: A program for detecting sorting signals in proteins and predicting their subcellular localization
-
K. Nakai and P. Horton. PSORT: a program for detecting sorting signals in proteins and predicting their subcellular localization. Trends Biochem. Sci., 24(1):34-36, 1999.
-
(1999)
Trends Biochem. Sci.
, vol.24
, Issue.1
, pp. 34-36
-
-
Nakai, K.1
Horton, P.2
-
21
-
-
0027105007
-
A knowledge base for predicting protein localization sites in eukaryotic cells
-
DOI 10.1016/S0888-7543(05)80111-9
-
K. Nakai and M. Kanehisa. A knowledge base for predicting protein localization sites in eukaryotic cells. Genomics, 14(4):897-911, 1992. (Pubitemid 23053027)
-
(1992)
Genomics
, vol.14
, Issue.4
, pp. 897-911
-
-
Nakai, K.1
Kanehisa, M.2
-
22
-
-
0028239038
-
Discrimination of intracellular and extracellular proteins using amino acid composition and residue-pair frequencies
-
DOI 10.1006/jmbi.1994.1267
-
H. Nakashima and K. Nishikawa. Discrimination of intracellular and extracellular proteins using amino acid composition and residue-pair frequencies. J. Mol. Biol., 238(1):54-61, 1994. (Pubitemid 24156401)
-
(1994)
Journal of Molecular Biology
, vol.238
, Issue.1
, pp. 54-61
-
-
Nakashima, H.1
Nishikawa, K.2
-
23
-
-
0141515750
-
Prediction of protein subcellular locations by support vector machines using compositions of amino acids and amino pairs
-
DOI 10.1093/bioinformatics/btg222
-
K.-J. Park and M. Kanehisa. Prediction of protein subcellular locations by support vector machines using compositions of amino acids and amino acid pairs. Bioinformatics, 19(13):1656-1663, 2003. (Pubitemid 37121154)
-
(2003)
Bioinformatics
, vol.19
, Issue.13
, pp. 1656-1663
-
-
Park, K.-J.1
Kanehisa, M.2
-
24
-
-
0032077533
-
Using neural networks for prediction of the subcellular location of proteins
-
DOI 10.1093/nar/26.9.2230
-
A. Reinhardt and T. Hubbart. Using neural networks for prediction of the subcellular location of proteins. Nucleic Acids Res., 26:2230-2236, 1998. (Pubitemid 28291771)
-
(1998)
Nucleic Acids Research
, vol.26
, Issue.9
, pp. 2230-2236
-
-
Reinhardt, A.1
Hubbard, T.2
-
25
-
-
2942589051
-
Predotar: A tool for rapidly screening proteomes for N-terminal targeting sequences
-
DOI 10.1002/pmic.200300776
-
I. Small, N. Peeters, F. Legeai, and C. Lurin. Predotar: A tool for rapidly screening proteomes for n-terminal targeting sequences. Proteomics, 4(6):1581-1590, 2004. (Pubitemid 38738317)
-
(2004)
Proteomics
, vol.4
, Issue.6
, pp. 1581-1590
-
-
Small, I.1
Peeters, N.2
Legeai, F.3
Lurin, C.4
-
27
-
-
0023046815
-
A new method for predicting signal sequence cleavage sites
-
G. von Heijne. A new method for predicting signal sequence cleavage sites. Nucleic Acids Res., 14(11):4683-4690, 1986.
-
(1986)
Nucleic Acids Res.
, vol.14
, Issue.11
, pp. 4683-4690
-
-
Von Heijne, G.1
-
29
-
-
33644873213
-
The universal protein resource (UniProt): An expanding universe of protein information
-
C.H. Wu, R. Apweiler, A. Bairoch, D.A. Natale, W.C. Barker, B. Boeckmann, S. Ferro, E. Gasteiger, H. Huang, R. Lopez, M. Magrane, M.J. Martin, R. Mazumder, C. O'Donovan, N. Redaschi, and B. Suzek. The universal protein resource (UniProt): an expanding universe of protein information. Nucleic Acids Res., 34:D187-D191, 2006.
-
(2006)
Nucleic Acids Res.
, vol.34
-
-
Wu, C.H.1
Apweiler, R.2
Bairoch, A.3
Natale, D.A.4
Barker, W.C.5
Boeckmann, B.6
Ferro, S.7
Gasteiger, E.8
Huang, H.9
Lopez, R.10
Magrane, M.11
Martin, M.J.12
Mazumder, R.13
O'donovan, C.14
Redaschi, N.15
Suzek, B.16
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