Feature Selection Based on Physicochemical Properties of Redefined N-term Region and C-term Regions for Predicting Disorder. - Kana Shimizu; Yoichi Muraoka; Shuichi Hirose; Tamotsu Noguchi (CIBCB, 2005)

POODLE-L: a two-level SVM prediction system for reliably predicting long disordered regions. - Shuichi Hirose; Kana Shimizu; Satoru Kanai; Yutaka Kuroda; Tamotsu Noguchi (Bioinform., 2007)

POODLE-S: web application for predicting protein disorder by using physicochemical features and reduced amino acid set of a position-specific scoring matrix. - Kana Shimizu; Shuichi Hirose; Tamotsu Noguchi (Bioinform., 2007)

Predicting mostly disordered proteins by using structure-unknown protein data. - Kana Shimizu; Yoichi Muraoka; Shuichi Hirose; Kentaro Tomii; Tamotsu Noguchi (BMC Bioinform., 2007)

POODLE-I: Disordered Region Prediction by Integrating POODLE Series and Structural Information Predictors Based on a Workflow Approach. - Shuichi Hirose; Kana Shimizu; Tamotsu Noguchi (Silico Biol., 2010)

LGM: Mining Frequent Subgraphs from Linear Graphs. - Yasuo Tabei; Daisuke Okanohara; Shuichi Hirose; Koji Tsuda (PAKDD (2), 2011)

An Information Extraction and Knowledge Graph Platform for Accelerating Biochemical Discoveries. - Matteo Manica; Christoph Auer; Valéry Weber; Federico Zipoli; Michele Dolfi; Peter W. J. Staar; Teodoro Laino; Costas Bekas; Akihiro Fujita; Hiroki Toda; Shuichi Hirose; Yasumitsu Orii (CoRR, 2019)

Molecular Inverse-Design Platform for Material Industries. - Seiji Takeda; Toshiyuki Hama; Hsiang-Han Hsu; Victoria A. Piunova; Dmitry Zubarev; Daniel P. Sanders 002; Jed W. Pitera; Makoto Kogoh; Takumi Hongo; Yenwei Cheng; Wolf Bocanett; Hideaki Nakashika; et al. (KDD, 2020)