Creating new functional proteins, such as industrial enzymes or therapeutic peptides, has traditionally been an inefficient and costly ‘trial-and-error’ process. Biotech companies painstakingly make random mutations of existing proteins, test them, and repeat this cycle until success. AI ‘de-novo’ protein design promised a breakthrough by generating entirely new proteins from scratch. However, it severely falls short due to a lack of comprehensive data, resulting in poor accuracies that make it unfit for industrial use. At AminoAnalytica, we offer a new approach: accelerated adaptation. Our AI software rapidly predicts protein properties in silico, eliminating the need for thousands of lab tests. This enables us to enhance existing proteins for better industrial performance, transforming the traditional ‘trial-and-error’ method into an ultra-high throughput and intelligent process.
Compute credits are all you need
I previously worked at the Mercedes Formula 1 Team and now work at the intersection of AI and Protein Design - there's a funny story in there somewhere.
Recent engineering graduate from Imperial College London. Worked in product design, manufacturing, and industrial labs. Shameless plug: check out 'adwuu' on spotify for a good time
Hey everyone – it’s Abhi Rajendran, Adam Wu and Matteo Peluso
Tl;dr: just look at the pictures ;)
👨🏾 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.
Currently, we’re working on: