Molecular microbiology 1999,31(4):1139–1148 PubMed 109 Michiels

Molecular microbiology 1999,31(4):1139–1148.PubMed 109. Michiels T, Wattiau P, Brasseur R, Ruysschaert JM, Cornelis G: Secretion of Yop proteins by Yersiniae. Infection and immunity 1990,58(9):2840–2849.PubMed 110. Lower M, Schneider G: Prediction of type III secretion signals in genomes of gram-negative bacteria. PLoS One 2009,4(6):e5917.PubMed 111. Arnold R, Brandmaier S, Kleine F, Tischler P, Heinz E, Behrens S, Niinikoski A, Mewes learn more HW, Horn M, Rattei T: Sequence-based prediction of type

III secreted proteins. PLoS pathogens 2009,5(4):e1000376.PubMed 112. Hiller K, Grote A, Scheer M, Munch R, Jahn D: PrediSi: prediction of signal peptides and their cleavage positions. RG7420 ic50 Nucleic Acids Res 2004, (32 Web Server):W375–379.

113. EVP4593 purchase Gomi M, Sonoyama M, Mitaku S: High performance system for signal peptide prediction: SOSUIsignal. Chem-Bio Informatics Journal 2004,4(4):142–147. 114. Mitaku S, Hirokawa T, Tsuji T: Amphiphilicity index of polar amino acids as an aid in the characterization of amino acid preference at membrane-water interfaces. Bioinformatics 2002,18(4):608–616.PubMed 115. Juretic D, Zoranic L, Zucic D: Basic charge clusters and predictions of membrane protein topology. J Chem Inf Comput Sci 2002,42(3):620–632.PubMed 116. Bagos PG, Liakopoulos TD, Hamodrakas SJ: Finding beta-barrel outer membrane proteins with a Markov Chain Model. WSEAS Transactions on Biology and Biomedecine 2004,1(2):186–189. 117. Gromiha MM, Ahmad S, Suwa M: TMBETA-NET: discrimination and prediction of membrane spanning beta-strands in outer membrane proteins. Nucleic Acids Res 2005, (33 Web Server):W164–167. 118. Garrow AG, Agnew A, Westhead DR: TMB-Hunt: a web server to screen sequence sets for transmembrane beta-barrel proteins. Nucleic Acids Res 2005, (33 Web Server):W188–192. 119. Lu Z, Szafron D, Greiner R, Lu P, Wishart DS, Poulin B, Anvik J, Macdonell C, Eisner R: Predicting subcellular localization of proteins using machine-learned classifiers. Bioinformatics

2004,20(4):547–556.PubMed 120. Matsuda S, Vert JP, Saigo H, Ueda almost N, Toh H, Akutsu T: A novel representation of protein sequences for prediction of subcellular location using support vector machines. Protein Sci 2005,14(11):2804–2813.PubMed 121. Hua S, Sun Z: Support vector machine approach for protein subcellular localization prediction. Bioinformatics 2001,17(8):721–728.PubMed 122. Niu B, Jin YH, Feng KY, Lu WC, Cai YD, Li GZ: Using AdaBoost for the prediction of subcellular location of prokaryotic and eukaryotic proteins. Molecular diversity 2008,12(1):41–45.PubMed 123. Imai K, Asakawa N, Tsuji T, Akazawa F, Ino A, Sonoyama M, Mitaku S: SOSUI-GramN: high performance prediction for sub-cellular localization of proteins in Gram-negative bacteria. Bioinformation 2008,2(9):417–421.PubMed 124.

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