239 related articles for article (PubMed ID: 14978706)
21. Prediction of signal peptides in protein sequences by neural networks.
Plewczynski D; Slabinski L; Ginalski K; Rychlewski L
Acta Biochim Pol; 2008; 55(2):261-7. PubMed ID: 18506221
[TBL] [Abstract][Full Text] [Related]
22. Online tools for predicting integral membrane proteins.
Bigelow H; Rost B
Methods Mol Biol; 2009; 528():3-23. PubMed ID: 19153681
[TBL] [Abstract][Full Text] [Related]
23. Signal-3L: A 3-layer approach for predicting signal peptides.
Shen HB; Chou KC
Biochem Biophys Res Commun; 2007 Nov; 363(2):297-303. PubMed ID: 17880924
[TBL] [Abstract][Full Text] [Related]
24. Protein backbone angle prediction with machine learning approaches.
Kuang R; Leslie CS; Yang AS
Bioinformatics; 2004 Jul; 20(10):1612-21. PubMed ID: 14988121
[TBL] [Abstract][Full Text] [Related]
25. JVirGel 2.0: computational prediction of proteomes separated via two-dimensional gel electrophoresis under consideration of membrane and secreted proteins.
Hiller K; Grote A; Maneck M; Münch R; Jahn D
Bioinformatics; 2006 Oct; 22(19):2441-3. PubMed ID: 16870933
[TBL] [Abstract][Full Text] [Related]
26. 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]
27. Correlation and prediction of gene expression level from amino acid and dipeptide composition of its protein.
Raghava GP; Han JH
BMC Bioinformatics; 2005 Mar; 6():59. PubMed ID: 15773999
[TBL] [Abstract][Full Text] [Related]
28. Prediction of amphipathic in-plane membrane anchors in monotopic proteins using a SVM classifier.
Sapay N; Guermeur Y; Deléage G
BMC Bioinformatics; 2006 May; 7():255. PubMed ID: 16704727
[TBL] [Abstract][Full Text] [Related]
29. Prediction of the burial status of transmembrane residues of helical membrane proteins.
Park Y; Hayat S; Helms V
BMC Bioinformatics; 2007 Aug; 8():302. PubMed ID: 17708758
[TBL] [Abstract][Full Text] [Related]
30. HSEpred: predict half-sphere exposure from protein sequences.
Song J; Tan H; Takemoto K; Akutsu T
Bioinformatics; 2008 Jul; 24(13):1489-97. PubMed ID: 18467349
[TBL] [Abstract][Full Text] [Related]
31. Sequence context and modified hydrophobic moment plots help identify 'horizontal' surface helices in transmembrane protein structure prediction.
Orgel JP
J Struct Biol; 2004 Oct; 148(1):51-65. PubMed ID: 15363787
[TBL] [Abstract][Full Text] [Related]
32. Analysis of protein transmembrane helical regions by a neural network.
Dombi GW; Lawrence J
Protein Sci; 1994 Apr; 3(4):557-66. PubMed ID: 8003974
[TBL] [Abstract][Full Text] [Related]
33. Prediction of the human membrane proteome.
Fagerberg L; Jonasson K; von Heijne G; Uhlén M; Berglund L
Proteomics; 2010 Mar; 10(6):1141-9. PubMed ID: 20175080
[TBL] [Abstract][Full Text] [Related]
34. Prediction of subcellular localization using sequence-biased recurrent networks.
Bodén M; Hawkins J
Bioinformatics; 2005 May; 21(10):2279-86. PubMed ID: 15746276
[TBL] [Abstract][Full Text] [Related]
35. Using optimized evidence-theoretic K-nearest neighbor classifier and pseudo-amino acid composition to predict membrane protein types.
Shen H; Chou KC
Biochem Biophys Res Commun; 2005 Aug; 334(1):288-92. PubMed ID: 16002049
[TBL] [Abstract][Full Text] [Related]
36. CoPreTHi: a Web tool which combines transmembrane protein segment prediction methods.
Promponas VJ; Palaios GA; Pasquier CM; Hamodrakas JS; Hamodrakas SJ
In Silico Biol; 1999; 1(3):159-62. PubMed ID: 11471236
[TBL] [Abstract][Full Text] [Related]
37. Prediction of turn types in protein structure by machine-learning classifiers.
Meissner M; Koch O; Klebe G; Schneider G
Proteins; 2009 Feb; 74(2):344-52. PubMed ID: 18618702
[TBL] [Abstract][Full Text] [Related]
38. TMRPres2D: high quality visual representation of transmembrane protein models.
Spyropoulos IC; Liakopoulos TD; Bagos PG; Hamodrakas SJ
Bioinformatics; 2004 Nov; 20(17):3258-60. PubMed ID: 15201184
[TBL] [Abstract][Full Text] [Related]
39. Hydrophobicity and prediction of the secondary structure of membrane proteins and peptides.
Klevanik AV
Membr Cell Biol; 2001 Jul; 14(5):673-97. PubMed ID: 11699870
[TBL] [Abstract][Full Text] [Related]
40. HYPROSP II--a knowledge-based hybrid method for protein secondary structure prediction based on local prediction confidence.
Lin HN; Chang JM; Wu KP; Sung TY; Hsu WL
Bioinformatics; 2005 Aug; 21(15):3227-33. PubMed ID: 15932901
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
