🧬 AminoAnalytica – Next generation proteins engineered with *protein* language models
We’re creating the next generation of peptides and enzymes using our proprietary pipeline, powered by protein language models.
Hey everyone – it’s Abhi Rajendran, Adam Wu and Matteo Peluso
Tl;dr: just look at the pictures ;)
💞 The A(mino) Team
👨🏾 Abhi Rajendran – From Imperial College London to the Mercedes F1 Team, Abhi builds AI tools in data-intensive environments. AminoAnalytica was inspired by his computational bio master’s project and was the top AI x Robotics venture from Imperial in 2024.
👦🏻 Adam Wu – With experience in academic and industry wet labs, Adam is now building his own. He has a background in materials science, tissue engineering and biosensing as a Thermo Fisher Scholar from Imperial.
👱🏼♂️ Matteo Peluso – Bioinformatics PhD from the University of Zurich. His skills in biology, machine learning, and software development tie up everything seamlessly.
👨🏻🦱 Dr. Stefano Angioletti-Uberti – Senior lecturer at Imperial, specializing in modeling biological and soft matter systems. He ensures models are based on the latest scientific principles.
❌ Problem: better proteins are needed to accelerate global innovation
- Industrial and pharma companies prefer to use enzymes and peptides over harsh chemicals as they are more specific and sustainable.
- However, natural proteins often lack stability, efficiency, or specificity for their desired applications leading to poor performance
- Improving these proteins has been a costly and inefficient 'trial-and-error' process, where biotech companies randomly mutate existing proteins, test them, and repeat until success.
✅ Solution: AminoAnalytica’s protein adaptation platform, powered by PLMs
- Like how ChatGPT understands human language, our "protein language models" (PLMs) understand biology and can optimize proteins for industrial and therapeutic use.
- This allows us to perform in-silico protein property prediction, eliminating the need for thousands of lab tests.
- We’re transforming the traditional ‘trial-and-error’ method into an ultra-high throughput and rational process.
🤝 Any industry working with proteins can benefit from our tech
Currently, we’re working on:
- Aquaculture feed → enzymes for maximizing fish feed nutritional efficiency
- Pharmaceuticals → peptide drugs with improved stability and specificity
- Climate tech → enzymes for eco-friendly carbon capture
- Consumer goods → safer enzymes for everyday products
🐡 Get in touch with us!
- Upvote/share this post with your network and help spread the word!
- If you (or anyone in your network) are as excited as we are about next generation industrial proteins and would like to learn more about what we’re doing, email us here - founders@aminoanalytica.app
- We’re also looking to expand our advisory board in the areas of aquaculture, fish testing, and feed manufacturing!