#Israel #Rehovot #AgPlenus #ChemPass AI #antifungal potency

AgPlenus Unveils State-of-the-Art AI Model for Antifungal Success

AgPlenus Ltd., a subsidiary of Evogene Ltd. (NASDAQ: EVGN), recently unveiled its latest innovation, the Antifungal Potency Predictor (APP). This cutting-edge AI model is designed to transform the way antifungal molecules are identified and prioritized within early-stage crop protection development. By leveraging advanced machine learning technologies, the APP forecasts the antifungal potency of small molecules based solely on their chemical structures, significantly enhancing the functionality of AgPlenus’s ChemPass AI for Ag™ platform.

The global fungicide market is valued at around $22 billion annually; however, challenges such as resistant fungal pathogens threaten crop yields and, by extension, food security. The need for novel fungicides that not only combat these diseases but also adopt innovative mechanisms of action has never been more pressing. The APP aims to meet this need by enabling agricultural researchers to filter through potential candidates with the highest likelihood of success even before chemical synthesis occurs.

Developed using proprietary datasets and sophisticated algorithms, the APP represents a significant leap forward in AgPlenus's capabilities. Building upon the established success of the ChemPass AI for Ag™, which is adept at identifying unique crop protection targets and generating effective molecules, the APP extends its reach to include predictions of how these molecules will behave in a fungal context. This allows for more strategic resource allocation, as fewer molecules undergo experimental testing, enabling researchers to focus efforts on those most likely to flourish.

Dr. Dan J. Gelvan, CEO of AgPlenus, emphasized this innovative approach, stating, "With the APP, we can forecast antifungal potency directly from molecular structures at an early stage of discovery. This not only enhances our ability to prioritize top candidates but also accelerates the entire fungicide development process, paving the way for advanced products that meet current agricultural challenges."

The APP's utility is poised to bolster AgPlenus's internal fungicide pipeline, which features promising candidates such as APTF-1, tailored to address severe crop challenges like Septoria Wheat Blotch. Additionally, the model is primed to aid future expansions aimed at combating critical pathogens such as Botrytis and Fusarium.

Looking to the future, the implications of the APP's launch go beyond immediate product development. The technology serves as a foundation for future predictive AI models that AgPlenus and Evogene plan to co-create, advancing the understanding of various biological attributes throughout the crop protection discovery journey.

In a landscape where agricultural innovation is crucial for sustaining food systems and battling the rise of resistance, AgPlenus's introduction of the APP marks a significant step towards smarter, more effective crop protection. As resistance mechanisms evolve, the APP is expected to be a critical tool in uncovering new options to combat these persisting threats, ensuring that researchers are equipped to manage the ever-changing dynamics of crop diseases.

In summary, AgPlenus's launch of the APP model encapsulates a proactive stride in the arena of agricultural biotech, promising not only to streamline the research process but also to address urgent global food security challenges. As agriculture stands at a crossroads, innovative solutions like the Antifungal Potency Predictor may very well define the future landscape of crop protection.