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Yutaka Kuroda
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2010 – 2019
- 2017
- [j9]Tambi Richa
, Soichiro Ide, Ryosuke Suzuki, Teppei Ebina
Fast H-DROP: A thirty times accelerated version of H-DROP for interactive SVM-based prediction of helical domain linkers. J. Comput. Aided Mol. Des. 31(2): 237-244 (2017) - 2014
- [j8]Atsushi Kurotani, Alexander A. Tokmakov, Yutaka Kuroda, Yasuo Fukami, Kazuo Shinozaki
Correlations between predicted protein disorder and post-translational modifications in plants. Bioinform. 30(8): 1095-1103 (2014) - [j7]Teppei Ebina
H-DROP: an SVM based helical domain linker predictor trained with features optimized by combining random forest and stepwise selection. J. Comput. Aided Mol. Des. 28(8): 831-839 (2014) - 2013
- [j6]Teppei Ebina
IS-Dom: a dataset of independent structural domains automatically delineated from protein structures. J. Comput. Aided Mol. Des. 27(5): 419-426 (2013) - 2011
- [j5]Teppei Ebina
DROP: an SVM domain linker predictor trained with optimal features selected by random forest. Bioinform. 27(4): 487-494 (2011) - 2010
- [j4]Eisuke Chikayama, Atsushi Kurotani, Takanori Tanaka, Takashi Yabuki, Satoshi Miyazaki, Shigeyuki Yokoyama
Mathematical model for empirically optimizing large scale production of soluble protein domains. BMC Bioinform. 11: 113 (2010)
2000 – 2009
- 2007
- [j3]Shuichi Hirose, Kana Shimizu
POODLE-L: a two-level SVM prediction system for reliably predicting long disordered regions. Bioinform. 23(16): 2046-2053 (2007) - 2006
- [j2]Satoshi Miyazaki, Yutaka Kuroda, Shigeyuki Yokoyama
Identification of putative domain linkers by a neural network - application to a large sequence database. BMC Bioinform. 7: 323 (2006) - 2004
- [j1]Eisuke Chikayama, Atsushi Kurotani, Yutaka Kuroda, Shigeyuki Yokoyama
ProteoMix: an integrated and flexible system for interactively analyzing large numbers of protein sequences. Bioinform. 20(16): 2836-2838 (2004)
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