Open Access Methodology article

Comprehensive predictions of target proteins based on protein-chemical interaction using virtual screening and experimental verifications

Hiroki Kobayashi1, Hiroko Harada1, Masaomi Nakamura1, Yushi Futamura1, Akihiro Ito2, Minoru Yoshida2, Shun-ichiro Iemura3, Kazuo Shin-ya3, Takayuki Doi4, Takashi Takahashi5, Tohru Natsume3, Masaya Imoto1 and Yasubumi Sakakibara1*

Author Affiliations

1 Department of Biosciences and Informatics, Faculty of Science and Technology, Keio University, 3-14-1 Hiyoshi, Kohoku-ku, Yokohama, 223-8522, Japan

2 Chemical Genetics Laboratory, RIKEN Advanced Science Institute, 2-1 Hirosawa, Wako-shi, Saitama, 351-0198, Japan

3 National Institute of Advanced Industrial Science and Technology (AIST), 2-4-7 Aomi, Koto-ku, Tokyo, 135-0064, Japan

4 Graduate School of Pharmaceutical Sciences, Tohoku University, 6-3 Aza-Aoba, Aramaki, Aoba, Sendai, 980-8578, Japan

5 Department of Applied Chemistry, Tokyo Institute of Technology, 2-12-1 Ookayama, Meguro, Tokyo, 152-8552, Japan

For all author emails, please log on.

BMC Chemical Biology 2012, 12:2  doi:10.1186/1472-6769-12-2

Published: 5 April 2012

Additional files

Additional file 1:

Validation work for eIF4A3, PDI, PP2A and Hsp70.

Format: PDF Size: 213KB Download file

This file can be viewed with: Adobe Acrobat Reader

Open Data

Additional file 2:

Proteins computationally predicted to bind to incednine (grouped into 11 clusters).

Format: PDF Size: 158KB Download file

This file can be viewed with: Adobe Acrobat Reader

Open Data

Additional file 3:

A stucture of biotinylated incednine.

Format: PDF Size: 25KB Download file

This file can be viewed with: Adobe Acrobat Reader

Open Data

Additional file 4:

Preparation of Flag-tagged Incednine[46,47].

Format: PDF Size: 103KB Download file

This file can be viewed with: Adobe Acrobat Reader

Open Data