RIKEN Center for Life Science Technologies

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To let you know about our research, this area contains 4 types of information about CLST; “Article”, “Videos”, “Event” and “Study”.
At “Article”, you can read articles on interviews and lectures, and you can enjoy the videos about CLST at “Videos”. If you want to meet and talk directly with the researcher, “Visit” give you some information of such events. You can find more difficult contents to know about our research deeply at “Study”.
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Labs & Technologies

Structure-based Molecular Design Team

Team Leader
Teruki Honma  Ph.D.

1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama, 230-0045 JAPAN
Tel: 045-503-9433

1_8_honma.png

Research Area

We plan to develop methods for designing novel small molecules, nucleic acids, and proteins, in order to help to accelerate drug development and the elucidation of living systems, and also develop an FBDD (Fragment based Drug Discovery) method for targeting biomolecules currently difficult to make susceptible of binding to small molecules.

研究室で開発しているインシリコスクリーニング技術

Main Publications List

1

A small-molecule AdipoR agonist for type 2 diabetes and short life in obesity

Okada-Iwabu M, Yamauchi T, Iwabu M, Honma T, Hamagami K, Matsuda K, Yamaguchi M, Tanabe H, Kimura-Someya T, Shirouzu M, Ogata H, Tokuyama K, Ueki K, Nagano T, Tanaka A, Yokoyama S, Kadowaki T.
Nature, 503(7477), 493-499 (2013).
2

A Pyrrolo-Pyrimidine Derivative Targets Human Primary AML Stem Cells in Vivo

Saito Y, Yuki H, Kuratani M, Hashizume Y, Takagi S, Honma T, Tanaka A, Shirouzu M, Mikuni J, Handa N, Ogahara I, Sone A, Najima Y, Tomabechi Y, Wakiyama M, Uchida N, Tomizawa-Murasawa M, Kaneko A, Tanaka S, Suzuki N, Kajita H, Aoki Y, Ohara O, Shultz LD, Fukami T, Goto T, Taniguchi S, Yokoyama S, Ishikawa F.
Sci Transl Med, 5(181), 181ra52 (2013).
3

Prediction of ligand-induced structural polymorphism of receptor interaction sites using machine learning.

Takaya D, Sato T, Yuki H, Sasaki S, Tanaka A, Yokoyama S, Honma T.
J Chem Inf Model, 53(3), 704-716 (2013).
4

Structure of the trypanosome cyanide-insensitive alternative oxidase.

Shiba T, Kido Y, Sakamoto K, Inaoka DK, Tsuge C, Tatsumi R, Takahashi G, Balogun EO, Nara T, Aoki T, Honma T, Tanaka A, Inoue M, Matsuoka S, Saimoto H, Moore AL, Harada S, Kita K.
Proc Natl Acad Sci U S A, 110(12), 4580-4585 (2013).
5

Identification of novel drug-resistant EGFR mutant inhibitors by in silico screening using comprehensive assessments of protein structures.

Sato T, Watanabe H, Tsuganezawa K, Yuki H, Mikuni J, Yoshikawa S, Kukimoto-Niino M, Fujimoto T, Terazawa Y, Wakiyama M, Kojima H, Okabe T, Nagano T, Shirouzu M, Yokoyama S, Tanaka A, Honma T.
Bioorg Med Chem, 20(12), 3756-3767 (2012).
6

A novel Pim-1 kinase inhibitor targeting residues that bind the substrate peptide.

Tsuganezawa K, Watanabe H, Parker L, Yuki H, Taruya S, Nakagawa Y, Kamei D, Mori M, Ogawa N, Tomabechi Y, Handa N, Honma T, Yokoyama S, Kojima H, Okabe T, Nagano T, Tanaka A.
J Mol Biol, 417(3), 240-252 (2012).
7

Prediction of sites of metabolism in a substrate molecule, instanced by carbamazepine oxidation by CYP3A4.

Yuki H, Honma T, Hata M, Hoshino T.
Bioorg Med Chem, 20(2), 775-783 (2012).
8

Combining machine learning and pharmacophore-based interaction fingerprint for in silico screening.

Sato T, Honma T, Yokoyama S.
J Chem Inf Model, 50(1), 170-185 (2010).
9

In silico functional profiling of small molecules and its applications.

Sato T, Matsuo Y, Honma T, Yokoyama S.
J Med Chem, 51(24), 7705-7716 (2008).
10

Predicting human liver microsomal stability with machine learning techniques.

Sakiyama Y, Yuki H, Moriya T, Hattori K, Suzuki M, Shimada K, Honma T.
J Mol Graph Model, 26(6), 907-915 (2008).

>>>ALL Publications

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