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Items: 1 to 20 of 121

1.

Artificial neural networks for molecular sequence analysis.

Wu CH.

Comput Chem. 1997;21(4):237-56.

PMID:
9415987
2.
3.

Development of artificial neural filters for pattern recognition in protein sequences.

Schneider G, Wrede P.

J Mol Evol. 1993 Jun;36(6):586-95.

PMID:
8350352
4.
5.

Prediction of protein supersecondary structures based on the artificial neural network method.

Sun Z, Rao X, Peng L, Xu D.

Protein Eng. 1997 Jul;10(7):763-9.

PMID:
9342142
6.

Statistical geometry based prediction of nonsynonymous SNP functional effects using random forest and neuro-fuzzy classifiers.

Barenboim M, Masso M, Vaisman II, Jamison DC.

Proteins. 2008 Jun;71(4):1930-9. doi: 10.1002/prot.21838.

PMID:
18186470
8.

NETASA: neural network based prediction of solvent accessibility.

Ahmad S, Gromiha MM.

Bioinformatics. 2002 Jun;18(6):819-24.

PMID:
12075017
9.

N4: a precise and highly sensitive promoter predictor using neural network fed by nearest neighbors.

Askary A, Masoudi-Nejad A, Sharafi R, Mizbani A, Parizi SN, Purmasjedi M.

Genes Genet Syst. 2009 Dec;84(6):425-30.

10.

Hierarchical learning architecture with automatic feature selection for multiclass protein fold classification.

Huang CD, Lin CT, Pal NR.

IEEE Trans Nanobioscience. 2003 Dec;2(4):221-32.

PMID:
15376912
11.

Neural networks for secondary structure and structural class predictions.

Chandonia JM, Karplus M.

Protein Sci. 1995 Feb;4(2):275-85.

12.

Predicting protein secondary structure by cascade-correlation neural networks.

Wood MJ, Hirst JD.

Bioinformatics. 2004 Feb 12;20(3):419-20. Epub 2004 Jan 22.

PMID:
14960469
13.

Artificial neural networks for pattern recognition in biochemical sequences.

Presnell SR, Cohen FE.

Annu Rev Biophys Biomol Struct. 1993;22:283-98. Review. No abstract available.

PMID:
8347992
14.

A neural network method for prediction of beta-turn types in proteins using evolutionary information.

Kaur H, Raghava GP.

Bioinformatics. 2004 Nov 1;20(16):2751-8. Epub 2004 May 14.

PMID:
15145798
15.

Prediction of turn types in protein structure by machine-learning classifiers.

Meissner M, Koch O, Klebe G, Schneider G.

Proteins. 2009 Feb 1;74(2):344-52. doi: 10.1002/prot.22164.

PMID:
18618702
16.

Application of neural networks to automated assignment of NMR spectra of proteins.

Hare BJ, Prestegard JH.

J Biomol NMR. 1994 Jan;4(1):35-46.

PMID:
8130640
17.
18.

Analysis of E.coli promoter structures using neural networks.

Mahadevan I, Ghosh I.

Nucleic Acids Res. 1994 Jun 11;22(11):2158-65.

19.

Prediction of protein secondary structure by an enhanced neural network.

Vieth M, KoliƄski A.

Acta Biochim Pol. 1991;38(3):335-51.

20.

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