Can AI rewrite our human genome? ⌨️🧬

Today, we announce the successful editing of DNA in human cells with gene editors fully designed with AI. Not only that, we've decided to freely release the molecules under the @ProfluentBio OpenCRISPR initiative.

Lots to unpack👇 AI has become increasingly pervasive in our daily lives from how we sift through information, produce content, and interact with the world. This marks a new chapter where AI is used to alter the fundamental blueprint of who we are - our DNA.

This twirling work of science is special ✨

AFAIK, it's the first crystal structure of a functional #protein fully designed by #AI

A milestone in our quest to use language models to generate proteins that are unseen in nature & can function well in the real-world. Read below👇 Proteins do everything in life. They're complex molecules and the workhorses for almost all of biology.

Nature has evolved proteins over billions of years. But instead of relying on natural evolution, what if we could take control and design proteins ourselves from scratch?

#Alphafold by #deepmind used solid interdisciplinary intuitions for algorithm/model design. It wasn't just a rinse-and-repeat machine learning exercise. Details on methods are limited, but here's my best interpretation (+some predictions) so far: [1/n] Protein sequence databases provide us samples that have defacto passed the fitness test of evolution and are information-rich. "Genetics search" is a retrieval step to find nearest-neighbors as defined by sequence alignment. Why do we need nearest-neighbors (NNs), you ask?