Teppei Ebina

According to our database, Teppei Ebina authored at least 4 papers between 2011 and 2017.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2017

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

2014

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

2013

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

2011

DROP: an SVM domain linker predictor trained with optimal features selected by random forest.

Teppei Ebina, Hiroyuki Toh, Yutaka Kuroda

Bioinform., 2011