DROP: an SVM domain linker predictor trained with optimal features selected by random forest. - Teppei Ebina; Hiroyuki Toh; Yutaka Kuroda (Bioinform., 2011)

IS-Dom: a dataset of independent structural domains automatically delineated from protein structures. - Teppei Ebina; Yuki Umezawa; Yutaka Kuroda (J. Comput. Aided Mol. Des., 2013)

H-DROP: an SVM based helical domain linker predictor trained with features optimized by combining random forest and stepwise selection. - Teppei Ebina; Ryosuke Suzuki; Ryotaro Tsuji; Yutaka Kuroda (J. Comput. Aided Mol. Des., 2014)

Fast H-DROP: A thirty times accelerated version of H-DROP for interactive SVM-based prediction of helical domain linkers. - Tambi Richa; Soichiro Ide; Ryosuke Suzuki; Teppei Ebina; Yutaka Kuroda (J. Comput. Aided Mol. Des., 2017)