TOP ・・nbsp;About Us

Kyoto Constella Technologies Co., Ltd. was founded on March 31, 2008, supported by Kyoto University Medical Science and Business Liaison Organization, based on a novel compound screening 窶廚hemical-Genomics-based Drug Design窶・which is the research achievement of Prof. Yasushi Okuno of Department of Systems Bioscience for Drug Discovery, graduate school of pharmaceutical science, Kyoto University.
窶廚hemical-Genomics-based Drug Design窶・is the world窶冱 first practical application of chemical-genomics-based in silico screening and expected to pioneer a new field in drug discovery by an expansion of applicable range and integration with conventional methods.
Kyoto Constella Technologies Co., Ltd. aspires to contribute to a R & D of affiliated companies by 3 businesses:
· a trustee analysis
· a system solution
· a research & development of fundamental technologies
through an improvement in a computational science and technology and a human resources development.
[An origin of our corporate name]
窶廚onstella窶・is named after constellation because the configuration of compounds mapped in a chemical space looks like constellations.
| Business name | Kyoto Constella Technologies Co., Ltd. |
|---|---|
| Date of establishment | March 31, 2008 |
| President & CEO | Ryuta Murakami |
| Director | Yasushi Okuno (Professor of graduate school of pharmaceutical science, Kyoto University) Toshikazu Taji (COO of Mitsubishi UFJ Capital Co.・鍬td) |
| Location | 558, Yamabushiyama-cho, Takoyakushi-sagaru, Muromachi-dori, Nakagyo-ku, Kyoto |
| Capital | 14 million yen |
| Businesses | · A trustee computation by computational science and technology and sales of materials relevant to it · R&D and production & sales of drug discovery supporting system and software · R&D and production & sales of medicines, diagnostic product, quasi drug, cosmetics and functional materials like health food · Development of human resource skilled in computational science and technology |
| Owned technologies | We screen targets by combination of following technologies depending on the targets. · Genome Analysis/ Alley Analysis (Bioinformatics) · Docking Simulation (Structured-based) · QSAR/ Similarity Search (Ligand-based) · Mutual Interaction Machine Learning (Chemical-Genomics-based) |
