-
1
-
-
0033369033
-
Exploiting the past and the future in protein secondary structure prediction
-
Baldi P.,Brunak S.,Frasconi P.,Pollastri G.,Soda G.Exploiting the past and the future in protein secondary structure prediction Bioinformatics.1999,15: 937-946.
-
(1999)
Bioinformatics
, vol.15
, pp. 937-946
-
-
Baldi, P.1
Brunak, S.2
Frasconi, P.3
Pollastri, G.4
Soda, G.5
-
2
-
-
0035812694
-
Protein structure prediction and structural genomics
-
Baker D and Sali A, Protein structure prediction and structural genomics,Science,2001,294:93-96.
-
(2001)
Science
, vol.294
, pp. 93-96
-
-
Baker, D.1
Sali, A.2
-
3
-
-
0029951995
-
Protein fold recognition by mapping predicted secondary structures
-
R.B.Russell,R.R.Copley,G.J. Barton. Protein fold recognition by mapping predicted secondary structures. J. Mol. Biol., 1996, 259:349-365.
-
(1996)
J. Mol. Biol.
, vol.259
, pp. 349-365
-
-
Russell, R.B.1
Copley, R.R.2
Barton, G.J.3
-
4
-
-
0029804192
-
Identification and application of the concepts important for accurate and reliable protein secondary structure prediction
-
King, R.D. & Sternberg, M.J.E. Identification and application of the concepts important for accurate and reliable protein secondary structure prediction Protein Science.1996, 5: 2298-2310.
-
(1996)
Protein Science
, vol.5
, pp. 2298-2310
-
-
King, R.D.1
Sternberg, M.J.E.2
-
5
-
-
0028965118
-
Prediction of protein secondary structure by combining nearest-neighbor algorithms and multiple sequence alignments
-
J Mar 17
-
Salamov AA, Solovyev VV. Prediction of protein secondary structure by combining nearest-neighbor algorithms and multiple sequence alignments [J]. J Mol Biol.1995 Mar 17; 247(1):11-5.
-
(1995)
J Mol Biol
, vol.247
, Issue.1
, pp. 11-15
-
-
Salamov, A.A.1
Solovyev, V.V.2
-
6
-
-
0030931336
-
Seventy-five percent accuracy in protein secondary structure prediction
-
DOI 10.1002/(SICI)1097-0134(199703)27:3<329::AID-PROT1>3.0.CO;2-8
-
Frishman D, Argos P. Seventy-five percent accuracy in protein secondary structure prediction. Proteins: Struct Funct Genet, 1997, 27(3): 329-335. (Pubitemid 27149285)
-
(1997)
Proteins: Structure, Function and Genetics
, vol.27
, Issue.3
, pp. 329-335
-
-
Frishman, D.1
Argos, P.2
-
7
-
-
0033578684
-
Protein secondary structure prediction based on position-specific scoring matrices
-
DOI 10.1006/jmbi.1999.3091
-
Jones D. Protein secondary structure prediction based on position-specific scoring matrices. J Mol Biol.1999,292: 195-202. (Pubitemid 29435759)
-
(1999)
Journal of Molecular Biology
, vol.292
, Issue.2
, pp. 195-202
-
-
Jones, D.T.1
-
8
-
-
0033106244
-
Evaluation and improvement of multiple sequence methods for protein secondary structure prediction
-
Cuff, J. A., Barton, G. J. Evaluation and improvement of multiple sequence methods for protein secondary structure prediction. Proteins: Structure, Function and Genet. 1999, 34: 508-519.
-
(1999)
Proteins: Structure, Function and Genet
, vol.34
, pp. 508-519
-
-
Cuff, J.A.1
Barton, G.J.2
-
9
-
-
0035957531
-
A Novel Method of Protein Secondary Structure Prediction with High Segment Overlap Measure: Support Vector Machine Approach
-
Hua SJ & Sun ZR*. A Novel Method of Protein Secondary Structure Prediction with High Segment Overlap Measure: Support Vector Machine Approach. J. Mol .Biol. 2001, 308:397-407.
-
(2001)
J. Mol.Biol.
, vol.308
, pp. 397-407
-
-
Hua, S.J.1
Sun, Z.R.2
-
10
-
-
0035023445
-
Predicting protein-protein interactions from primary structure
-
Bock JR, Gough DA: Predicting protein - protein interactions from primary structure. Bioinformatics (Oxford, England) 2001, 17:455-460. (Pubitemid 32440306)
-
(2001)
Bioinformatics
, vol.17
, Issue.5
, pp. 455-460
-
-
Bock, J.R.1
Gough, D.A.2
-
11
-
-
0027291015
-
Prediction of secondary structure at better than 70% accuracy
-
Rost, B., Sander, C. Prediction of secondary structure at better than 70% accuracy. J. Mol. Biol. 1993, 232:584-599.
-
(1993)
J. Mol. Biol.
, vol.232
, pp. 584-599
-
-
Rost, B.1
Sander, C.2
-
12
-
-
0036568279
-
Improving the prediction of protein secondary structure in three and eight classes using recurrent neural networks and profiles
-
May 1
-
Pollastri G, Przybylski D, Rost B, Baldi P.Improving the prediction of protein secondary structure in three and eight classes using recurrent neural networks and profiles.Proteins. 2002 May 1;47(2):228-35.
-
(2002)
Proteins
, vol.47
, Issue.2
, pp. 228-235
-
-
Pollastri, G.1
Przybylski, D.2
Rost, B.3
Baldi, P.4
-
13
-
-
0033933636
-
Cascaded multiple classifiers for secondary structure prediction
-
Ouali M, King R. Cascaded multiple classifiers for secondary structure prediction. Protein Sci.2000, 9:1162-76. (Pubitemid 30419151)
-
(2000)
Protein Science
, vol.9
, Issue.6
, pp. 1162-1176
-
-
Ouali, M.1
King, R.D.2
-
14
-
-
0036568279
-
Improving the prediction of protein secondary structure in three and eight classes using recurrent neural networks and profiles
-
May 1
-
Pollastri G, Przybylski D, Rost B, Baldi P.Improving the prediction of protein secondary structure in three and eight classes using recurrent neural networks and profiles.Proteins. 2002 May 1, 47(2):228-35.
-
(2002)
Proteins
, vol.47
, Issue.2
, pp. 228-235
-
-
Pollastri, G.1
Przybylski, D.2
Rost, B.3
Baldi, P.4
-
15
-
-
0025183708
-
Basic local alignment search tool
-
Altschul, S.F., Gish, W., Miller, W, et al. Basic local alignment search tool. J. Mol. Biol.1990, 215:403-410.
-
(1990)
J. Mol. Biol.
, vol.215
, pp. 403-410
-
-
Altschul, S.F.1
Gish, W.2
Miller, W.3
-
16
-
-
0030801002
-
Gapped BLAST and PSI-BLAST: A new generation of protein database search programs
-
Altschul, S.F., Madden, T.L., Schäffer,et al. Gapped BLAST and PSI-BLAST: a new generation of protein database search programs. Nucleic Acids Res. 1997, 25:3389-3402.
-
(1997)
Nucleic Acids Res
, vol.25
, pp. 3389-3402
-
-
Altschul, S.F.1
Madden, T.L.2
Schäffer3
-
17
-
-
0036520412
-
Ming Quantitative association rules with standard SQL queries and it's evaluation
-
Bingru, Yang, Haihong, Sun, & Fanlun, Xiong. Ming Quantitative association rules with standard SQL queries and it's evaluation. Journal of Computer Research and Development.2002, 39(3), 307-312.
-
(2002)
Journal of Computer Research and Development
, vol.39
, Issue.3
, pp. 307-312
-
-
Bingru, Y.1
Haihong, S.2
Fanlun, X.3
-
18
-
-
0033081846
-
A modified definition of SOV, a segment-based measure for protein secondary structure prediction assessment
-
Zemla et al. A modified definition of SOV, a segment-based measure for protein secondary structure prediction assessment. Proteins.1999, 34:220-223.
-
(1999)
Proteins
, vol.34
, pp. 220-223
-
-
Zemla1
-
19
-
-
0020997912
-
A dictionary of protein secondary structure
-
W. Kabsch and C. Sander.A dictionary of protein secondary structure.Biopolymers.1983, 22:2577-2637.
-
(1983)
Biopolymers
, vol.22
, pp. 2577-2637
-
-
Kabsch, W.1
Sander, C.2
-
20
-
-
0023927904
-
Identification of structural motifs from protein coordinate data: Secondary structure and first-level supersecondary structure
-
F. M. Richards and C. E. Kundrot.Identification of structural motifs from protein coordinate data: secondary structure and first-level supersecondary structure. Proteins.1988, 3:71-84.
-
(1988)
Proteins
, vol.3
, pp. 71-84
-
-
Richards, F.M.1
Kundrot, C.E.2
-
21
-
-
0029619259
-
Knowledge-based protein secondary structure assignment
-
D. Frishman and P. Argos.Knowledge-based protein secondary structure assignment. Proteins. 1995, 23:566-579.
-
(1995)
Proteins
, vol.23
, pp. 566-579
-
-
Frishman, D.1
Argos, P.2
-
22
-
-
60849135389
-
KAAPRO: An approach of protein secondary structure prediction based on KDD* in the compound pyramid prediction model
-
Yang Bingru, Hou Wei, et al. KAAPRO: An approach of protein secondary structure prediction based on KDD* in the compound pyramid prediction model, Expert Systems with Applications. 2009, 36(5):9000-9006.
-
(2009)
Expert Systems with Applications
, vol.36
, Issue.5
, pp. 9000-9006
-
-
Bingru, Y.1
Wei, H.2
-
23
-
-
34548567232
-
POODLE-L: A two-level SVM prediction system for reliably predicting long disordered regions
-
Tamotsu Noguchi, Shuichi Hirose, et al. POODLE-L: a two-level SVM prediction system for reliably predicting long disordered regions. Bioinformatics.2007, 23:2046-2053.
-
(2007)
Bioinformatics
, vol.23
, pp. 2046-2053
-
-
Noguchi, T.1
Hirose, S.2
-
24
-
-
0034843744
-
Support Vector Machine Approach for Protein Subcellular Localization Prediction
-
Hua SJ & Sun ZR.. Support Vector Machine Approach for Pr otein Subcellular Localization Prediction. Bioinformatics.20 01, 17:721-728.
-
(2001)
Bioinformatics
, vol.17
, pp. 721-728
-
-
Hua, S.J.1
Sun, Z.R.2
-
25
-
-
0002629256
-
Bidirectional dynamics for protein secondary structure prediction
-
Baldi P, Brunak S, Frasconi P, Pollastri G, Soda G. Bidirectional dynamics for protein secondary structure prediction. In: Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence (IJCAI99). Stockholm, Sweden, 1999.
-
Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence (IJCAI99). Stockholm, Sweden, 1999
-
-
Baldi, P.1
Brunak, S.2
Frasconi, P.3
Pollastri, G.4
Soda, G.5
-
26
-
-
0242362161
-
Combining local-structure, fold-recognition, and new fold methods for protein structure prediction
-
Karplus K, Karchin R, Draper J, Casper J, Mandel-Gutfreund Y, Diekhans M, Hughey R. Combining local-structure, fold-recognition, and new fold methods for protein structure prediction. Proteins.2003, 53(Suppl. 6):491-496.
-
(2003)
Proteins
, vol.53
, Issue.SUPPL. 6
, pp. 491-496
-
-
Karplus, K.1
Karchin, R.2
Draper, J.3
Casper, J.4
Mandel-Gutfreund, Y.5
Diekhans, M.6
Hughey, R.7
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