AgroDesign Studios
As of February 2024
City | Year of Establishment | Founder |
---|---|---|
Kashiwa-city, Chiba | 2018 | Yuki Nishigaya, Ph.D. |
Partner VC | Latest round of Fundraising | Valuation |
---|---|---|
real-tech fund | Series A | JPY 1,000 million |
- Contact Information : +81 4-7180-0290
- info@agro.design
- Website : AgroDesign Studios
Program name
Deep-Tech Startups Support Program
Research theme
Accelerate creation of novel agrochemicals using molecularly targeted agrochemical platforms
Business Plan
As the world population continues to grow, it is important to develop highly effective pesticides to increase crop production, but at the same time, highly safe pesticides are also required. Molecular-targeted pesticides are promising as pesticides that are both effective and safe. This type of pesticide targets enzymes (proteins) that exist only in the organisms to be controlled (weeds, insects, and plant pathogens), thereby making it possible to exert its effect only on the target organism.
Although the advantages of molecular-targeted pesticides have been mentioned for some time, the technological hurdles to realize them have been high. Therefore, this project will establish a platform for the development of molecular-targeted pesticides, which will be useful for our own pesticide discovery and will accelerate the creation of safe and secure pesticides by providing the technology to Japan and global agrochemical companies.
Research Outline
In this project, a platform will be developed to efficiently analyze the 3D structure of the enzyme (protein) that will be the pesticide target, which is the most significant technical issue in the development of molecular-targeted pesticides. Furthermore, the platform will be used to actually create pesticide insecticides.
The platform will include: 1) an environment for rapid structural analysis of membrane proteins (using X-ray crystallography and cryo-electron microscopy), 2) computational pesticide discovery (molecular dynamics simulation and AI drug discovery methods), and 3) Degital transformation (DX) for pesticide development (automation of experiments using robots and AI).
Furthermore, these will be utilized to conduct pesticide discovery for highly challenging pesticide target proteins such as membrane proteins.
Phase | Business Area/Field | Fiscal year of adoption | Research Grant Amount |
---|---|---|---|
STS | Food & Agricuture | 2023~2024FY | JPY 208 million |
Last Updated : June 6, 2024