Computational platform targeting protein-protein interactions for weed control
Projini Agchem Ltd. introduces a computational platform targeting protein-protein interactions to develop novel herbicides, offering selective weed control and reduced resistance.
Overview
Projini Agchem Ltd. presents an advanced computational platform designed to target protein-protein interactions (PPIs) for effective weed control. This innovative approach provides a novel mode of action by selectively interfering with PPIs, thus reducing potential environmental and health hazards. By exploring less conserved sites than traditional enzymatic pockets, this solution delays or prevents resistance in weeds, ensuring sustainable agricultural practices.
Technical specifications
- Selective interference: Targets less conserved sites in PPIs, allowing for selective herbicide action.
- Novel chemistry: Explores diverse chemical spaces due to the unique nature of PPIs.
- Computational tools: Utilizes a data-mining and analysis module to identify PPI targets and a computational screening engine to rank potential chemical leads.
- Experimental validation: Includes biophysical techniques and in-planta capabilities for validation, ensuring practical applicability.
- Chemical optimization: Focuses on refining hits and scaffolds based on experimental results.
Technology readiness level
This technology is at Technology Readiness Level 6, indicating that it has been validated in a relevant environment and is moving towards commercialization.
About Projini Agchem Ltd.
Projini Agchem Ltd. is an agricultural biotechnology company that specializes in the discovery and development of novel pesticide solutions. Founded in 2019 and based in Israel, the company utilizes a proprietary, AI-driven computational and biophysical platform to identify and design small molecules that target protein-protein interactions (PPI) in pests. By focusing on these specific molecular targets, the company aims to overcome widespread issues of pest resistance and environmental safety associated with traditional, randomly discovered pesticides, while applying principles from personalized medicine to agricultural crop protection.
The company’s primary objective is to provide innovative, targeted, and sustainable pest control products to the agricultural industry, including licensing its novel active ingredients to global AgChem corporations. By systematically scanning large libraries of substances, their discovery engine identifies molecules capable of precise action on weeds, fungi, and other agricultural pests. Supported by investors such as the Bayer-Trendlines Ag Innovation Fund, the company is positioning itself to introduce more effective and environmentally focused crop protection methods to the market.
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