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Items: 1 to 20 of 158

1.

Prediction of the human membrane proteome.

Fagerberg L, Jonasson K, von Heijne G, Uhlén M, Berglund L.

Proteomics. 2010 Mar;10(6):1141-9. doi: 10.1002/pmic.200900258.

PMID:
20175080
2.
3.

Discrimination of outer membrane proteins using support vector machines.

Park KJ, Gromiha MM, Horton P, Suwa M.

Bioinformatics. 2005 Dec 1;21(23):4223-9. Epub 2005 Oct 4.

5.

Estimation of membrane proteins in the human proteome.

Ahram M, Litou ZI, Fang R, Al-Tawallbeh G.

In Silico Biol. 2006;6(5):379-86.

PMID:
17274767
6.

Topology prediction of helical transmembrane proteins: how far have we reached?

Tusnády GE, Simon I.

Curr Protein Pept Sci. 2010 Nov;11(7):550-61. Review.

PMID:
20887261
7.

Combined prediction of transmembrane topology and signal peptide of beta-barrel proteins: using a hidden Markov model and genetic algorithms.

Zou L, Wang Z, Wang Y, Hu F.

Comput Biol Med. 2010 Jul;40(7):621-8. doi: 10.1016/j.compbiomed.2010.04.006. Epub 2010 May 21.

PMID:
20488436
8.

Improving discrimination of outer membrane proteins by fusing different forms of pseudo amino acid composition.

Gao QB, Ye XF, Jin ZC, He J.

Anal Biochem. 2010 Mar 1;398(1):52-9. doi: 10.1016/j.ab.2009.10.040. Epub 2009 Oct 27.

PMID:
19874797
9.

Predicting transmembrane protein topology with a hidden Markov model: application to complete genomes.

Krogh A, Larsson B, von Heijne G, Sonnhammer EL.

J Mol Biol. 2001 Jan 19;305(3):567-80.

PMID:
11152613
10.

MetaTM - a consensus method for transmembrane protein topology prediction.

Klammer M, Messina DN, Schmitt T, Sonnhammer EL.

BMC Bioinformatics. 2009 Sep 28;10:314. doi: 10.1186/1471-2105-10-314.

11.

Computational methods for protein secondary structure prediction using multiple sequence alignments.

Heringa J.

Curr Protein Pept Sci. 2000 Nov;1(3):273-301. Review.

PMID:
12369910
12.

Reliability measures for membrane protein topology prediction algorithms.

Melén K, Krogh A, von Heijne G.

J Mol Biol. 2003 Mar 28;327(3):735-44.

PMID:
12634065
13.

A hidden Markov model with molecular mechanics energy-scoring function for transmembrane helix prediction.

Zheng WJ, Spassov VZ, Yan L, Flook PK, Szalma S.

Comput Biol Chem. 2004 Oct;28(4):265-74.

PMID:
15548453
14.

The use of functional domains to improve transmembrane protein topology prediction.

Xu EW, Kearney P, Brown DG.

J Bioinform Comput Biol. 2006 Feb;4(1):109-23.

PMID:
16568545
15.
16.

waveTM: wavelet-based transmembrane segment prediction.

Pashou EE, Litou ZI, Liakopoulos TD, Hamodrakas SJ.

In Silico Biol. 2004;4(2):127-31.

PMID:
15107018
17.

ZPRED: predicting the distance to the membrane center for residues in alpha-helical membrane proteins.

Granseth E, Viklund H, Elofsson A.

Bioinformatics. 2006 Jul 15;22(14):e191-6.

18.

A Hidden Markov Model method, capable of predicting and discriminating beta-barrel outer membrane proteins.

Bagos PG, Liakopoulos TD, Spyropoulos IC, Hamodrakas SJ.

BMC Bioinformatics. 2004 Mar 15;5:29.

19.

Prediction of helix-helix contacts and interacting helices in polytopic membrane proteins using neural networks.

Fuchs A, Kirschner A, Frishman D.

Proteins. 2009 Mar;74(4):857-71. doi: 10.1002/prot.22194.

PMID:
18704938
20.

Transmembrane structure predictions with hydropathy index/charge two-dimensional trajectories of stochastic dynamical systems.

Kaburagi T, Muramatsu D, Matsumoto T.

J Bioinform Comput Biol. 2007 Jun;5(3):669-92.

PMID:
17688311
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