Millions of dollars on empirical tests? Or protein language models (PLMs) and other machine learning tools that rapidly sift through hundreds of millions of proteins and identify the best functional proteins for any given application? We'll go with the latter.
🌱 Developing delicious and nutritious alternative protein products can be a time-consuming process. ⌛ AI can analyze vast amounts of recipe data and consumer preferences to suggest novel flavor combinations and ingredient pairings. This can significantly speed up the development process and lead to more innovative and consumer-friendly products. There are billions of distinct proteins, and finding the right solution is “like looking for a needle in a haystack”, according to Jasmin Hume, PhD Founder & CEO of Shiru “Thanks to machine learning and the availability of large datasets, we are in the middle of a revolution in how biological structure, function and interactions are inferred,” says Jasmin. “Shiru uses a combination of protein language models (PLMs) and other machine learning tools to rapidly sift through hundreds of millions of proteins and identify the best functional proteins for any given application. This is game-changing. Rather than spend years and millions of dollars on empirical tests, we arrive at the best solution in a fraction of the time and cost.” 📰 Learn more from Jasmin and others in our deep dive on smart manufacturing in the latest edition of Protein Production Technology International! 🔗https://hubs.ly/Q02D08ss0 #alternativeprotein #sustainability #smartmanufacturing #proteintechnology #innovation #ai #machinelearning