An agricultural technology company leveraging artificial intelligence and computational algorithms to discover and design sustainable crop-protection molecules.
An agricultural technology company leveraging artificial intelligence and computational algorithms to discover and design sustainable crop-protection molecules.
A proprietary AI-driven computational platform for the discovery of druggable proteins, virtual screening of compounds, and design of small molecule inhibitors.
AgPlenus Launches Antifungal Potency Predictor AI Model
AgPlenus has launched the Antifungal Potency Predictor (APP), a machine learning model that expands the ChemPass AI for Ag platform. The tool is designed to predict the antifungal potency of small molecules directly from their chemical structures before synthesis and lab testing. This addition is intended to streamline the discovery process for new fungicides by prioritizing candidate molecules with the highest biological efficacy, helping to address issues of resistance in crop pathogens like Septoria Wheat Blotch, Botrytis, and Fusarium.
