124 related articles for article (PubMed ID: 8845767)
1. The importance of larger data sets for protein secondary structure prediction with neural networks.
Chandonia JM; Karplus M
Protein Sci; 1996 Apr; 5(4):768-74. PubMed ID: 8845767
[TBL] [Abstract][Full Text] [Related]
2. Neural networks for secondary structure and structural class predictions.
Chandonia JM; Karplus M
Protein Sci; 1995 Feb; 4(2):275-85. PubMed ID: 7757016
[TBL] [Abstract][Full Text] [Related]
3. A neural network method for prediction of beta-turn types in proteins using evolutionary information.
Kaur H; Raghava GP
Bioinformatics; 2004 Nov; 20(16):2751-8. PubMed ID: 15145798
[TBL] [Abstract][Full Text] [Related]
4. Combining evolutionary information and neural networks to predict protein secondary structure.
Rost B; Sander C
Proteins; 1994 May; 19(1):55-72. PubMed ID: 8066087
[TBL] [Abstract][Full Text] [Related]
5. Role of evolutionary information in prediction of aromatic-backbone NH interactions in proteins.
Kaur H; Raghava GP
FEBS Lett; 2004 Apr; 564(1-2):47-57. PubMed ID: 15094041
[TBL] [Abstract][Full Text] [Related]
6. Prediction of protein secondary structure at better than 70% accuracy.
Rost B; Sander C
J Mol Biol; 1993 Jul; 232(2):584-99. PubMed ID: 8345525
[TBL] [Abstract][Full Text] [Related]
7. A 3D-1D substitution matrix for protein fold recognition that includes predicted secondary structure of the sequence.
Rice DW; Eisenberg D
J Mol Biol; 1997 Apr; 267(4):1026-38. PubMed ID: 9135128
[TBL] [Abstract][Full Text] [Related]
8. Combining prediction of secondary structure and solvent accessibility in proteins.
Adamczak R; Porollo A; Meller J
Proteins; 2005 May; 59(3):467-75. PubMed ID: 15768403
[TBL] [Abstract][Full Text] [Related]
9. Real value prediction of solvent accessibility in proteins using multiple sequence alignment and secondary structure.
Garg A; Kaur H; Raghava GP
Proteins; 2005 Nov; 61(2):318-24. PubMed ID: 16106377
[TBL] [Abstract][Full Text] [Related]
10. Achieving 80% ten-fold cross-validated accuracy for secondary structure prediction by large-scale training.
Dor O; Zhou Y
Proteins; 2007 Mar; 66(4):838-45. PubMed ID: 17177203
[TBL] [Abstract][Full Text] [Related]
11. Topology prediction for helical transmembrane proteins at 86% accuracy.
Rost B; Fariselli P; Casadio R
Protein Sci; 1996 Aug; 5(8):1704-18. PubMed ID: 8844859
[TBL] [Abstract][Full Text] [Related]
12. Prediction of alpha-turns in proteins using PSI-BLAST profiles and secondary structure information.
Kaur H; Raghava GP
Proteins; 2004 Apr; 55(1):83-90. PubMed ID: 14997542
[TBL] [Abstract][Full Text] [Related]
13. Peptides secondary structure prediction with neural networks: a criterion for building appropriate learning sets.
Ruggiero C; Sacile R; Rauch G
IEEE Trans Biomed Eng; 1993 Nov; 40(11):1114-21. PubMed ID: 8307594
[TBL] [Abstract][Full Text] [Related]
14. Protein secondary structure prediction using three neural networks and a segmental semi Markov model.
Malekpour SA; Naghizadeh S; Pezeshk H; Sadeghi M; Eslahchi C
Math Biosci; 2009 Feb; 217(2):145-50. PubMed ID: 19046975
[TBL] [Abstract][Full Text] [Related]
15. Combining evolutionary and structural information for local protein structure prediction.
Pei J; Grishin NV
Proteins; 2004 Sep; 56(4):782-94. PubMed ID: 15281130
[TBL] [Abstract][Full Text] [Related]
16. Prediction of subcellular localization of eukaryotic proteins using position-specific profiles and neural network with weighted inputs.
Zou L; Wang Z; Huang J
J Genet Genomics; 2007 Dec; 34(12):1080-7. PubMed ID: 18155620
[TBL] [Abstract][Full Text] [Related]
17. A neural-network based method for prediction of gamma-turns in proteins from multiple sequence alignment.
Kaur H; Raghava GP
Protein Sci; 2003 May; 12(5):923-9. PubMed ID: 12717015
[TBL] [Abstract][Full Text] [Related]
18. Protein topology recognition from secondary structure sequences: application of the hidden Markov models to the alpha class proteins.
Di Francesco V; Garnier J; Munson PJ
J Mol Biol; 1997 Mar; 267(2):446-63. PubMed ID: 9096237
[TBL] [Abstract][Full Text] [Related]
19. Prediction of beta-turns in proteins from multiple alignment using neural network.
Kaur H; Raghava GP
Protein Sci; 2003 Mar; 12(3):627-34. PubMed ID: 12592033
[TBL] [Abstract][Full Text] [Related]
20. New methods for accurate prediction of protein secondary structure.
Chandonia JM; Karplus M
Proteins; 1999 May; 35(3):293-306. PubMed ID: 10328264
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
