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Investigation and identification of protein carbonylation sites based on position-specific amino acid composition and physicochemical features.

, , , , , , , , and . BMC Bioinform., 18 (S-3): 125-141 (2017)

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A New Scheme to Characterize and Identify Protein Ubiquitination Sites., , , , and . IEEE ACM Trans. Comput. Biol. Bioinform., 14 (2): 393-403 (2017)Investigation and identification of protein carbonylation sites based on position-specific amino acid composition and physicochemical features., , , , , , , , and . BMC Bioinform., 18 (S-3): 125-141 (2017)Treatment effect of acupuncture and electric stimulation on chronic constipation patients., , , , , and . APCCAS, page 450-452. IEEE, (2010)Characterization and identification of ubiquitin conjugation sites with E3 ligase recognition specificities., , , , , , , and . BMC Bioinform., 16 (S-1): S1 (2015)A two-layered machine learning method to identify protein O-GlcNAcylation sites with O-GlcNAc transferase substrate motifs., , , , , , and . BMC Bioinform., 16 (S18): S10 (December 2015)Incorporating significant amino acid pairs and protein domains to predict RNA splicing-related proteins with functional roles., , , , and . J. Comput. Aided Mol. Des., 28 (1): 49-60 (2014)Recursive Feature Selection with Significant Variables of Support Vectors., , , and . Comput. Math. Methods Medicine, (2012)MDD-carb: a combinatorial model for the identification of protein carbonylation sites with substrate motifs., , , , , , and . BMC Syst. Biol., 11 (S-7): 127-140 (2017)UbiSite: incorporating two-layered machine learning method with substrate motifs to predict ubiquitin-conjugation site on lysines., , , , , and . BMC Syst. Biol., 10 (S-1): 6 (2016)