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Items: 1 to 20 of 73

1.

Improving N-terminal protein annotation of Plasmodium species based on signal peptide prediction of orthologous proteins.

Neto Ade M, Alvarenga DA, Rezende AM, Resende SS, Ribeiro Rde S, Fontes CJ, Carvalho LH, de Brito CF.

Malar J. 2012 Nov 15;11:375. doi: 10.1186/1475-2875-11-375.

4.

A structural annotation resource for the selection of putative target proteins in the malaria parasite.

Joubert Y, Joubert F.

Malar J. 2008 May 23;7:90. doi: 10.1186/1475-2875-7-90.

5.

Profiling the malaria genome: a gene survey of three species of malaria parasite with comparison to other apicomplexan species.

Carlton JM, Muller R, Yowell CA, Fluegge MR, Sturrock KA, Pritt JR, Vargas-Serrato E, Galinski MR, Barnwell JW, Mulder N, Kanapin A, Cawley SE, Hide WA, Dame JB.

Mol Biochem Parasitol. 2001 Dec;118(2):201-10.

PMID:
11738710
6.

Signal peptide prediction based on analysis of experimentally verified cleavage sites.

Zhang Z, Henzel WJ.

Protein Sci. 2004 Oct;13(10):2819-24. Epub 2004 Aug 31.

7.

A meta-approach for improving the prediction and the functional annotation of ortholog groups.

Pereira C, Denise A, Lespinet O.

BMC Genomics. 2014;15 Suppl 6:S16. doi: 10.1186/1471-2164-15-S6-S16. Epub 2014 Oct 17.

8.

A comprehensive assessment of N-terminal signal peptides prediction methods.

Choo KH, Tan TW, Ranganathan S.

BMC Bioinformatics. 2009 Dec 3;10 Suppl 15:S2. doi: 10.1186/1471-2105-10-S15-S2.

9.

OrthoMCL: identification of ortholog groups for eukaryotic genomes.

Li L, Stoeckert CJ Jr, Roos DS.

Genome Res. 2003 Sep;13(9):2178-89.

10.

Proteome analysis of rhoptry-enriched fractions isolated from Plasmodium merozoites.

Sam-Yellowe TY, Florens L, Wang T, Raine JD, Carucci DJ, Sinden R, Yates JR 3rd.

J Proteome Res. 2004 Sep-Oct;3(5):995-1001.

PMID:
15473688
11.

N-terminal N-myristoylation of proteins: prediction of substrate proteins from amino acid sequence.

Maurer-Stroh S, Eisenhaber B, Eisenhaber F.

J Mol Biol. 2002 Apr 5;317(4):541-57.

PMID:
11955008
12.

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. doi: 10.1002/humu.20798.

PMID:
18570327
13.

Sequence-based prediction of type III secreted proteins.

Arnold R, Brandmaier S, Kleine F, Tischler P, Heinz E, Behrens S, Niinikoski A, Mewes HW, Horn M, Rattei T.

PLoS Pathog. 2009 Apr;5(4):e1000376. doi: 10.1371/journal.ppat.1000376. Epub 2009 Apr 24. Erratum in: PLoS Pathog. 2009 Apr;5(4). doi: 10.1371/annotation/78659a32-7869-4b14-91a6-b301a588d937.

14.

Targeting malaria virulence and remodeling proteins to the host erythrocyte.

Marti M, Good RT, Rug M, Knuepfer E, Cowman AF.

Science. 2004 Dec 10;306(5703):1930-3.

15.

Proteomic approaches to studying drug targets and resistance in Plasmodium.

Cooper RA, Carucci DJ.

Curr Drug Targets Infect Disord. 2004 Mar;4(1):41-51. Review.

PMID:
15032633
16.

Gene function prediction using semantic similarity clustering and enrichment analysis in the malaria parasite Plasmodium falciparum.

Tedder PM, Bradford JR, Needham CJ, McConkey GA, Bulpitt AJ, Westhead DR.

Bioinformatics. 2010 Oct 1;26(19):2431-7. doi: 10.1093/bioinformatics/btq450. Epub 2010 Aug 6.

PMID:
20693320
17.

Highly conserved gene arrangement of the mitochondrial genomes of 23 Plasmodium species.

Hikosaka K, Watanabe Y, Kobayashi F, Waki S, Kita K, Tanabe K.

Parasitol Int. 2011 Jun;60(2):175-80. doi: 10.1016/j.parint.2011.02.001. Epub 2011 Feb 15.

PMID:
21329764
18.

Deciphering apicoplast targeting signals--feature extraction from nuclear-encoded precursors of Plasmodium falciparum apicoplast proteins.

Zuegge J, Ralph S, Schmuker M, McFadden GI, Schneider G.

Gene. 2001 Dec 12;280(1-2):19-26.

PMID:
11738814
19.

Differential expansion of the merozoite surface protein (msp)-7 gene family in Plasmodium species under a birth-and-death model of evolution.

Garzón-Ospina D, Cadavid LF, Patarroyo MA.

Mol Phylogenet Evol. 2010 May;55(2):399-408. doi: 10.1016/j.ympev.2010.02.017. Epub 2010 Feb 19.

PMID:
20172030
20.

Evaluation of signal peptide prediction algorithms for identification of mycobacterial signal peptides using sequence data from proteomic methods.

Leversen NA, de Souza GA, Målen H, Prasad S, Jonassen I, Wiker HG.

Microbiology. 2009 Jul;155(Pt 7):2375-83. doi: 10.1099/mic.0.025270-0. Epub 2009 Apr 23.

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