Natural antifungal peptides targeting zygosaccharomyces bailii

Overview

Shiru Inc. is at the forefront of using AI and machine learning to revolutionize ingredient discovery. Their proprietary Protein Discovery Engine (PDE) is designed to identify natural antifungal peptides that target specific organisms such as Zygosaccharomyces bailii. This solution leverages advanced protein language models and machine learning techniques to screen millions of proteins and peptides, aiming to find multifunctional peptides that are both effective and manufacturable at industrial scales. The primary goal is to offer a sustainable alternative for food preservation.

Technical specifications

• Protein Discovery Engine (PDE): Utilizes state-of-the-art protein language models and machine learning tools.
• Database: Access to a curated library of over 450 million natural proteins.
• Targeted Discovery: Focus on peptides toxic to Z. bailii and scalable in GRAS status microbial hosts.
• Validation Process: Collaboration with Kraft-Heinz to define product-specific constraints such as pH and temperature stability.
• Expression and Testing: Peptides expressed in E. coli or P. pastoris and tested against Z. bailii and other organisms.

Technology readiness level

The current development stage is TRL 3, indicating experimental proof of concept. Future steps include scaling up promising peptides for gram-scale testing in food systems.