Simon Kozlov

Simon Kozlov

@sim0nsays.bsky.social

Researcher at MIT, generative AI for protein design

400 followers125 following23 posts

Bro resurrected NASA simulator in a weekend with Claude Code and used data from the real space launches to find the parameters to run it, and turns out it still works really damn well.

bes-dev.bsky.social@bes-dev.bsky.social

How was your weekend? I spent mine launching the Space Shuttle. With NASA code from 1970 that nobody could run for 50 years.

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

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/... 🦠🧬🛠️🖥️💥

View full thread

No single model was able to solve every gene, it took all of them + developing novel methods. And even then, there are genes no model was able to solve - we had to use mutagenesis on last 3 stragglers. No model thinks these solutions are good, but they work in vivo. 9/

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

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/... 🦠🧬🛠️🖥️💥

View full thread

But we still haven't solved all. For the rest, we expand the design space: allowing to change not just ILE residues, but allow compensating mutations elsewhere. We masked ILE neighbors in 3D space and repeated the process. Among several new working designs, one is crazy. 7/

Here pLM redesigns most of the helix and introduces other mutations. What makes it work? I wish I knew. Understanding the mechanics of this solution alone requires an experimental effort comparable to this whole project, if not more. Which brings me to Feynman's famous quote. 8/

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

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/... 🦠🧬🛠️🖥️💥

View full thread

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

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/... 🦠🧬🛠️🖥️💥

View full thread

Next, you can feed sequences into pLM like ESM, mask ILEs and take max predicted AA other than ILE! pLMs store evolutionary information so we're modeling what else evolution could place there. We do it with different methods developed by Charlotte Rochereau, solve 25% more. 3/

But say there's a super-conserved position where nature didn't explore anything else. How can we go beyond that? Well, maybe we can use structure as a prior. We run ProteinMPNN with a known structure for still-not-solved proteins, mask ILEs, see if it makes different designs. 4/

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

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/... 🦠🧬🛠️🖥️💥

So, you want to redesign the ribosome to not use a specific AA, and you chose isoleucine. How would you go about it? First, baseline: just try replacing it with most similar AA, evolutionary data says it's valine. Turns out this alone works in 36% of the cases 2/

Simon Kozlov reposted

Simon Kozlov reposted

BOOSTER, a newly identified orphan gene, supercharges photosynthesis and, when overexpressed, boosts height of poplars by up to 200% (at least in greenhouse) To make it even more interesting, part of the gene seems derived from a poplar fungus-farming ant 🐜 Paper: www.cell.com/developmenta...

Simon Kozlov reposted

💡💥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

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

You are up to date.