In a groundbreaking move, Profluent, a leading name in the domain of protein design, has unveiled the OpenCRISPR-1 initiative. It is the first-ever open-source, AI-powered gene editor. This technological marvel marks a significant stride towards the future of precision human genome editing.
Profluent is an AI-centric protein design company based out of Berkeley, CA. Since its inception in 2022, the company has been pushing the boundaries of biomedicine by designing and validating novel, functional proteins through deep generative models. OpenCRISPR-1 is a landmark product in the world of gene editing. It is a Cas9-like protein and guide RNA, wholly developed using Profluent's large language models (LLMs). During the training process, the AI system learned from a massive scale sequence and the biological context to generate millions of diverse CRISPR-like proteins that do not naturally occur. This has expanded the scope of all known CRISPR families exponentially.
In its dedication to democratizing gene editing technology, Profluent has launched OpenCRISPR-1 as an initial open-source release. This makes the AI-designed gene editor freely available for ethical research and commercial applications. "Our success points to a future where AI precisely designs what is needed to create a range of bespoke cures for disease. To spur innovation and democratization in gene editing, with the goal of pulling this future forward, we are open-sourcing the products of this initiative." - Ali Madani, Profluent co-founder and CEO.
"Attempting to edit human DNA with an AI-designed biological system was a scientific moonshot," said Ali Madani, Profluent co-founder and Chief Executive Officer. The ability to edit the human genome has profound implications for the field of medicine and human health, opening up the possibility of developing personalized treatments for a range of diseases.
The unique power of AI allows researchers to reimagine and create gene editing systems from scratch, something that would be impossible with conventional protein engineering methods. By expanding the universe of CRISPR families and releasing foundational molecules that can be further built upon, AI's application in this field paves the way for greater access and lower costs for gene editing therapies.
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