, /PRNewswire/ -- , a world leader in artificial intelligence (AI)-based design of proteins and other biological systems, in partnership with the at the Institute of Molecular Biology of today announced the release of ZymCTRL ("enzyme control"), a ChatGPT-like tool that generates new sequences from scratch based on a user simply typing in an enzyme identification code, which specifies the desired activity. Large language models (LLMs), such as ChatGPT, have proven useful in helping scientists design and generate protein sequences..
However, current models require further training as well as conditioning on a known protein starter sequence ("seed sequence") for protein generation. ZymCTRL is a next-generation end-to-end protein LLM that offers rapid, cost-effective design capabilities for generating artificial enzymes. In contrast to other LLMs, the tool requires no seed sequence, giving end users complete control.
Another important feature is ZymCTRL's ability to create enzyme sequences that work but share only 30% resemblance to those in the training set – expanding the possibilities for designing new enzymes. "With ZymCtrl, generating highly specific enzymes is as easy as interacting with a chatbot", said Noelia Ferruz who has been partnering with Basecamp Research for over 2 years. The Ferruz lab is considered a pioneer in the field of AI for protein design, having previously built .
a deep unsupervised language model for protein design. "Even before the release of ChatG.
