AminoAnalytica (YC S24)

AminoAnalytica (YC S24) is creating next-gen enzymes and peptides using their proprietary pipeline powered by protein language models. Industrial and pharma companies prefer enzymes and peptides over harsh chemicals for their sustainability and specificity. However, natural proteins often lack the needed efficiency and stability, leading to poor performance. Improving these proteins has been costly and inefficient, relying on random 'trial-and-error' processes. In the same way that ChatGPT’s “large language models” understand human language,?AminoAnalytica’s “protein language models” (PLMs) understand the language of biology. This pipeline eliminates the need for numerous lab tests, transforming the traditional method into an ultra-high-throughput, rational process. Founders Abhi Rajendran and Adam Wu met at Imperial College London. With Matteo Peluso, a bioinformatician from Zurich, and Adam’s friend from primary school, they combined their expertise in biochemistry, bioinformatics, and AI to create AminoAnalytica. Today, AminoAnalytica is leveraging the language of biology to redefine how proteins are engineered – from enhanced animal feed enzymes to novel pharmaceutical peptides. Congratulations on the launch, Abhi, Adam, and Matteo! ?? https://lnkd.in/gBJaxiYD

It's almost time for the Venture Catalyst Challenge Final ?? AminoAnalytica, co-founded by recent graduate Adam Wu and current undergraduate student Abhi Rajendran, are competing for a chance to be in the Grand Final on Thursday 11 April! AminoAnalytica is a protein property prediction software aiming to accelerate drug discovery, a currently costly and time-consuming process. Abhi explains "We develop an AI tool to predict the physical properties of drugs before you need to synthesise them in the real world. This means the only drugs that are made are the drugs that will cure your target disease." Find out more: https://ow.ly/IIHL50QYKib