Simon Kozlov

@sim0nsays.bsky.social

Researcher at MIT, generative AI for protein design

Yours truly is a proper scientist now! TL;DR: we used AI to redesign parts of essential cell machinery with only 19 canonical amino acids instead of 20. Why? Great thread by @harriswang.bsky.social provides more context and details. Let me talk a bit about the AI design part of this. 1/

Harris Wang@harriswang.bsky.social · 3mo ago

1/ Excited to share our new paper in Science @science.org: “Toward life with a 19-amino acid alphabet through generative artificial intelligence design.” A great collab w/ Sergey's group @sokrypton.org at MIT @columbiasysbio.bsky.social science.org/doi/10.1126/... 🦠🧬🛠️🖥️💥

💡💥Here’s a modest proposal I’ve been pondering for a while on how to change the PEER REVIEW process and start more community-driven SCIENCE FUNDING. Lots of feedback/discussion welcomed! Other variants of the idea might exist already—not claiming originality. (a long 🧵) (1/9)

I would love for a social network to exist where questions like this get a meaningful discussion. I don’t think Twitter had it even if it’s best days, with a few exceptions when tweet randomly goes viral. Can we make it work here? That would take the whole community to a next level.

Akos Nyerges@akosnyerges.bsky.social · 2y ago

Friends, does anyone know the per-base error frequency of the new Illumina MiSeq i100 Series, with its 2 x 300 nt XLEAP-SBS chemistry? Is it better or worse than the old MiSeq v3 chip's error frequency (based on your sequencing runs)? #NGS #Illumina #MiSeq