232 related articles for article (PubMed ID: 19367716)
1. Prediction of lipoprotein signal peptides in Gram-positive bacteria with a Hidden Markov Model.
Bagos PG; Tsirigos KD; Liakopoulos TD; Hamodrakas SJ
J Proteome Res; 2008 Dec; 7(12):5082-93. PubMed ID: 19367716
[TBL] [Abstract][Full Text] [Related]
2. Prediction of lipoprotein signal peptides in Gram-negative bacteria.
Juncker AS; Willenbrock H; Von Heijne G; Brunak S; Nielsen H; Krogh A
Protein Sci; 2003 Aug; 12(8):1652-62. PubMed ID: 12876315
[TBL] [Abstract][Full Text] [Related]
3. Prediction of signal peptides in archaea.
Bagos PG; Tsirigos KD; Plessas SK; Liakopoulos TD; Hamodrakas SJ
Protein Eng Des Sel; 2009 Jan; 22(1):27-35. PubMed ID: 18988691
[TBL] [Abstract][Full Text] [Related]
4. Combined prediction of Tat and Sec signal peptides with hidden Markov models.
Bagos PG; Nikolaou EP; Liakopoulos TD; Tsirigos KD
Bioinformatics; 2010 Nov; 26(22):2811-7. PubMed ID: 20847219
[TBL] [Abstract][Full Text] [Related]
5. Evaluation of methods for predicting the topology of beta-barrel outer membrane proteins and a consensus prediction method.
Bagos PG; Liakopoulos TD; Hamodrakas SJ
BMC Bioinformatics; 2005 Jan; 6():7. PubMed ID: 15647112
[TBL] [Abstract][Full Text] [Related]
6. 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. PubMed ID: 20488436
[TBL] [Abstract][Full Text] [Related]
7. 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; 5():29. PubMed ID: 15070403
[TBL] [Abstract][Full Text] [Related]
8. A method for the prediction of GPCRs coupling specificity to G-proteins using refined profile Hidden Markov Models.
Sgourakis NG; Bagos PG; Papasaikas PK; Hamodrakas SJ
BMC Bioinformatics; 2005 Apr; 6():104. PubMed ID: 15847681
[TBL] [Abstract][Full Text] [Related]
9. Computational prediction of the functional effects of amino acid substitutions in signal peptides using a model-based approach.
Hon LS; Zhang Y; Kaminker JS; Zhang Z
Hum Mutat; 2009 Jan; 30(1):99-106. PubMed ID: 18570327
[TBL] [Abstract][Full Text] [Related]
10. Proteomics-based consensus prediction of protein retention in a bacterial membrane.
Tjalsma H; van Dijl JM
Proteomics; 2005 Nov; 5(17):4472-82. PubMed ID: 16220534
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. An HMM posterior decoder for sequence feature prediction that includes homology information.
Käll L; Krogh A; Sonnhammer EL
Bioinformatics; 2005 Jun; 21 Suppl 1():i251-7. PubMed ID: 15961464
[TBL] [Abstract][Full Text] [Related]
13. Peptide signal molecules and bacteriocins in Gram-negative bacteria: a genome-wide in silico screening for peptides containing a double-glycine leader sequence and their cognate transporters.
Dirix G; Monsieurs P; Dombrecht B; Daniels R; Marchal K; Vanderleyden J; Michiels J
Peptides; 2004 Sep; 25(9):1425-40. PubMed ID: 15374646
[TBL] [Abstract][Full Text] [Related]
14. Sequence-based protein structure prediction using a reduced state-space hidden Markov model.
Lampros C; Costas Papaloukas ; Exarchos TP; Yorgos Goletsis ; Fotiadis DI
Comput Biol Med; 2007 Sep; 37(9):1211-24. PubMed ID: 17161834
[TBL] [Abstract][Full Text] [Related]
15. Different sequence patterns in signal peptides from mycoplasmas, other gram-positive bacteria, and Escherichia coli: a multivariate data analysis.
Edman M; Jarhede T; Sjöström M; Wieslander A
Proteins; 1999 May; 35(2):195-205. PubMed ID: 10223292
[TBL] [Abstract][Full Text] [Related]
16. Signal peptide prediction based on analysis of experimentally verified cleavage sites.
Zhang Z; Henzel WJ
Protein Sci; 2004 Oct; 13(10):2819-24. PubMed ID: 15340161
[TBL] [Abstract][Full Text] [Related]
17. SecretP: identifying bacterial secreted proteins by fusing new features into Chou's pseudo-amino acid composition.
Yu L; Guo Y; Li Y; Li G; Li M; Luo J; Xiong W; Qin W
J Theor Biol; 2010 Nov; 267(1):1-6. PubMed ID: 20691704
[TBL] [Abstract][Full Text] [Related]
18. Analysis and prediction of leucine-rich nuclear export signals.
la Cour T; Kiemer L; Mølgaard A; Gupta R; Skriver K; Brunak S
Protein Eng Des Sel; 2004 Jun; 17(6):527-36. PubMed ID: 15314210
[TBL] [Abstract][Full Text] [Related]
19. waveTM: wavelet-based transmembrane segment prediction.
Pashou EE; Litou ZI; Liakopoulos TD; Hamodrakas SJ
In Silico Biol; 2004; 4(2):127-31. PubMed ID: 15107018
[TBL] [Abstract][Full Text] [Related]
20. A machine learning based method for the prediction of secretory proteins using amino acid composition, their order and similarity-search.
Garg A; Raghava GP
In Silico Biol; 2008; 8(2):129-40. PubMed ID: 18928201
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]