-
1
-
-
0029872773
-
The importance of larger data sets for protein secondary structure prediction with neural networks
-
Chandonia JM, Karplus M. 1996. The importance of larger data sets for protein secondary structure prediction with neural networks. Protein Sci 5:768-774.
-
(1996)
Protein Sci
, vol.5
, pp. 768-774
-
-
Chandonia, J.M.1
Karplus, M.2
-
2
-
-
0030808140
-
Classification and prediction of β-turn types
-
Chou KC, Blinn JR. 1997. Classification and prediction of β-turn types. J Protein Chem 16(6):575-595.
-
(1997)
J Protein Chem
, vol.16
, Issue.6
, pp. 575-595
-
-
Chou, K.C.1
Blinn, J.R.2
-
3
-
-
0015967881
-
Conformational parameters for amino acids in helical, β-sheet and random coil regions calculated from proteins
-
Chou PY, Fasman GD. 1974. Conformational parameters for amino acids in helical, β-sheet and random coil regions calculated from proteins. Biochemistry 13:211-223.
-
(1974)
Biochemistry
, vol.13
, pp. 211-223
-
-
Chou, P.Y.1
Fasman, G.D.2
-
5
-
-
0028566270
-
A revised set of potentials for β-turn formation in proteins
-
Hutchinson EG, Thornton JM. 1994. A revised set of potentials for β-turn formation in proteins. Protein Sci 3:2207-2216.
-
(1994)
Protein Sci
, vol.3
, pp. 2207-2216
-
-
Hutchinson, E.G.1
Thornton, J.M.2
-
7
-
-
0024412170
-
Prediction of β-turns in proteins using neural networks
-
McGregor MJ, Flores TP, Sternberg MJE. 1989. Prediction of β-turns in proteins using neural networks. Protein Eng 2(7):521-526.
-
(1989)
Protein Eng
, vol.2
, Issue.7
, pp. 521-526
-
-
McGregor, M.J.1
Flores, T.P.2
Sternberg, M.J.E.3
-
8
-
-
0027205884
-
A scaled conjugate gradient algorithm for fast supervised learning
-
Møller M. 1993. A scaled conjugate gradient algorithm for fast supervised learning. Neural Networks 6(4):525-533.
-
(1993)
Neural Networks
, vol.6
, Issue.4
, pp. 525-533
-
-
Møller, M.1
-
9
-
-
0030777303
-
CATH: A hierarchic classification of protein domain structures
-
Orengo CA, Michie AD, Jones S, Jones DT, Swindells MB, Thornton JM. 1997. CATH: A hierarchic classification of protein domain structures. Structure 5:1093-1108.
-
(1997)
Structure
, vol.5
, pp. 1093-1108
-
-
Orengo, C.A.1
Michie, A.D.2
Jones, S.3
Jones, D.T.4
Swindells, M.B.5
Thornton, J.M.6
-
10
-
-
0023803244
-
Predicting the secondary structure of globular proteins using neural network models
-
Qian N, Sejnowski TJ. 1988. Predicting the secondary structure of globular proteins using neural network models. J Mol Biol 202:865-884.
-
(1988)
J Mol Biol
, vol.202
, pp. 865-884
-
-
Qian, N.1
Sejnowski, T.J.2
-
11
-
-
0029984070
-
Improving prediction of protein secondary structure using structured neural networks and multiple sequence alignments
-
Riis SK, Krogh A. 1996. Improving prediction of protein secondary structure using structured neural networks and multiple sequence alignments. J Comput Biol 3:163-183.
-
(1996)
J Comput Biol
, vol.3
, pp. 163-183
-
-
Riis, S.K.1
Krogh, A.2
-
12
-
-
0017798828
-
Prediction of chain turns in globular proteins on a hydrophobic basis
-
Rose GD. 1978. Prediction of chain turns in globular proteins on a hydrophobic basis. Nature 272:586-590.
-
(1978)
Nature
, vol.272
, pp. 586-590
-
-
Rose, G.D.1
-
13
-
-
0027291015
-
Prediction of protein secondary structure at better than 70% accuracy
-
Rost B, Sander C. 1993. Prediction of protein secondary structure at better than 70% accuracy. J Mol Biol 252:584-599.
-
(1993)
J Mol Biol
, vol.252
, pp. 584-599
-
-
Rost, B.1
Sander, C.2
-
14
-
-
0028300741
-
Combining evolutionary information and neural networks to predict protein secondary structure
-
Rost B, Sander C. 1994. Combining evolutionary information and neural networks to predict protein secondary structure. Proteins 19:55-72.
-
(1994)
Proteins
, vol.19
, pp. 55-72
-
-
Rost, B.1
Sander, C.2
-
15
-
-
0000646059
-
Learning internal representations by error propagation
-
Rumelhart DE, McClelland JL, eds. Cambridge, MA: MIT Press
-
Rumelhart DE, Hinton GE, Williams RJ. 1986. Learning internal representations by error propagation. In: Rumelhart DE, McClelland JL, eds. Parallel distributed processing: Explorations in the microstructure of cognition, vol. 1. Cambridge, MA: MIT Press, pp 318-362.
-
(1986)
Parallel Distributed Processing: Explorations in the Microstructure of Cognition
, vol.1
, pp. 318-362
-
-
Rumelhart, D.E.1
Hinton, G.E.2
Williams, R.J.3
-
17
-
-
0024279235
-
Analysis and prediction of the different types of β-turn in proteins
-
Wilmot CM, Thornton JM. 1988. Analysis and prediction of the different types of β-turn in proteins. J Mol Biol 203:221-232.
-
(1988)
J Mol Biol
, vol.203
, pp. 221-232
-
-
Wilmot, C.M.1
Thornton, J.M.2
-
18
-
-
0030596522
-
Free energy determinants of secondary structure formation: III. β-turns and their role in protein folding
-
Yang AS, Hitz B, Honig B. 1996. Free energy determinants of secondary structure formation: III. β-turns and their role in protein folding. J Mol Biol 259:873-882.
-
(1996)
J Mol Biol
, vol.259
, pp. 873-882
-
-
Yang, A.S.1
Hitz, B.2
Honig, B.3
-
19
-
-
0031149431
-
Prediction of β-turns in proteins by 1-4 and 2-3 correlation model
-
Zhang CT, Chou KC. 1997. Prediction of β-turns in proteins by 1-4 and 2-3 correlation model. Biopolymers 41(6):673-702.
-
(1997)
Biopolymers
, vol.41
, Issue.6
, pp. 673-702
-
-
Zhang, C.T.1
Chou, K.C.2
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