Feng Zhang (@zhangf) 's Twitter Profile
Feng Zhang

@zhangf

Engineer and molecular biologist. Curious about the world and optimistic to make it better.

ID: 3180033032

linkhttp://zlab.bio calendar_today29-04-2015 23:24:52

278 Tweet

52,52K Followers

49 Following

Feng Zhang (@zhangf) 's Twitter Profile Photo

Congratulations to the 2024 class of Regeneron #sciencetalentsearch finalists - inspirations and hopes for the future. Keep persevering, keep shining! Society for Science

Congratulations to the 2024 class of <a href="/Regeneron/">Regeneron</a> #sciencetalentsearch finalists - inspirations and hopes for the future. Keep persevering, keep shining! <a href="/Society4Science/">Society for Science</a>
Feng Zhang (@zhangf) 's Twitter Profile Photo

Congratulations to all of the graduates during this commencement season! Wishing you all a creative and fulfilling future!​​​​​​​​​​​​​​​​ "What you follow with your heart will indeed come back to make your life much richer."

Congratulations to all of the graduates during this commencement season! Wishing you all a creative and fulfilling future!​​​​​​​​​​​​​​​​

"What you follow with your heart will indeed come back to make your life much richer."
Feng Zhang (@zhangf) 's Twitter Profile Photo

Nature is amazing! Congratulations to Max Wilkinson and team on a beautiful study revealing a clever way that bacteria defend against viruses. Check out Max’s posts for more detail! doi.org/10.1126/scienc…

Feng Zhang (@zhangf) 's Twitter Profile Photo

Excited to see our team’s work on Fanzor now published in Cell! Amazing effort by Peiyu Xu and the entire team in uncovering the structural diversity and DNA cutting mechanisms of Fanzor. Proud of everyone involved! Onward to more discoveries. 🚀

Patrick Hsu (@pdhsu) 's Twitter Profile Photo

Today we report Evo, a generalist foundation model for biology, on the cover of Science Magazine. Trained on billions of DNA nucleotides, Evo was designed to capture two key aspects of biology: the multi-modality of the central dogma and the multi-scale nature of evolution.

Feng Zhang (@zhangf) 's Twitter Profile Photo

Congratulations to Rumya Mirco J. Friedrich Daniel Strebinger Blake Lash Cyrus Biotechnology and colleagues on an exciting study combining AI and protein engineering to minimize the immunogenicity of Cas9 and Cas12a nucleases. These approaches have the potential to improve the safety and

Shai Zilberzwige-Tal (@zilberzwige) 's Twitter Profile Photo

RNA-guided systems span kingdoms, from bacterial immunity to eukaryotic gene regulation. How did they evolve? We traced the origins of CRISPR-Cas13 and identified its likely ancestor: an RNA-based toxin-antitoxin (TA) system. Here’s what we uncovered: cell.com/cell/fulltext/… 1/8

Han Altae-Tran (@altaetran) 's Twitter Profile Photo

#CRISPR revolutionized medicine, but where did its RNA-guided mechanisms come from? Using #AI, we unearthed new Cas13s and found they evolved from toxin-antitoxins, revealing how nature created these amazing reprogrammable molecules. Discover the recipe: doi.org/10.1016/j.cell…

#CRISPR revolutionized medicine, but where did its RNA-guided mechanisms come from?
Using #AI, we unearthed new Cas13s and found they evolved from toxin-antitoxins, revealing how nature created these amazing reprogrammable molecules.
Discover the recipe: doi.org/10.1016/j.cell…