AI-driven development of environmentally safe fungicides for rice blast
Leveraging AI and computational chemistry to design potent fungicides targeting rice blast with reduced environmental impact. This approach modifies known molecules to enhance efficacy while maintaining eco-friendliness, aiming for 2-10x increased potency.
Overview
The University of Arkansas at Little Rock is pioneering the development of new fungicides specifically targeting the rice blast fungus, Pyricularia oryzae, using cutting-edge AI and molecular modeling techniques. This research aims to enhance the efficacy and environmental safety of existing fungicides. By modifying known fungicides, the project seeks to create variants that are 2 to 10 times more potent while reducing negative environmental impacts.
Technical specifications
Methodology:
- Use AI to predict binding affinities of modified fungicides.
- Employ quantum mechanical methods for accurate modeling of molecular modifications.
- Implement substitution reactions to achieve desired fungicidal properties.
Key Features:
- Over 200 modifications to known fungicides.
- Targeted improvement in fungicide binding and efficacy.
- Reduction in required pesticide amounts for effective fungus control.
The synthesis of these modifications is designed to be straightforward, ensuring practical application and scalability.
Technology readiness level
This research is currently at Technology Readiness Level 3. Initial molecular modeling and AI predictions have been conducted, with synthesis and experimental validation in progress to confirm the enhanced fungicidal activity and environmental safety of the modified compounds.
About University of Arkansas, Little Rock
The University of Arkansas at Little Rock is a public metropolitan research university serving the capital region with a professional, applied research profile. Industry engages on campus through shared-use engineering and computing facilities and prototyping spaces, while proximity to the Little Rock Technology Park and the city’s startup ecosystem enables co-location with entrepreneurs and product teams. Close collaboration with the state’s academic medical center and agencies headquartered in Little Rock supports clinical translation, secure data projects, and regulatory or policy-relevant testing. Research is backed by competitive federal funding, including awards from NSF, NIH, and the Department of Defense, alongside state and industry contracts. A dedicated technology transfer office supports IP strategy, licensing, and startup formation.
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