Fridays @BioMandrake Courtesy of Udbhav from Away.

most people think just building bigger AI models will eventually solve biology. they won't. and the billions betting on it are chasing a wrong assumption. our thesis lays out why - and what we're building instead. 👇

1/ A protein is a nanomachine - moving parts, does real work, changes shape to do its job. A gene editor is one of them: a molecular machine that hunts down a stretch of DNA and cuts it. We still borrow these machines from nature and tune them, because we don't understand them well enough to build our own. We started Mandrake to change that.

We don't even design binders!! But we @BioMandrake just won @adaptyvbio × @gembioworkshop's RBX1 design competition - 1 Strong binder out of 322 tested, selected from 12,000+ submissions. Couldn't make it to @iclr_conf in Rio. Here's how we did it 👇 open.substack.com/pub/mandra…

Our 1st Assay into Protein language models at @BioMandrake is here! PLMs have learned the grammar of evolution. They just haven't learned the physics. We go deeper into some experiments we did to shed light into nuances that Protein designers using these should care about.

Spoke at the @iiscbangalore EECS Symposium last week - "Can a Neural Network Fast-Track 4 Billion Years of Evolution?" On why the real bottleneck in gene editing is the enzymes, and the approaches we're taking at @BioMandrake to design ones that nature never made. Thanks to Prof @chirgjain for inviting me!

We put out an open ML challenge @BioMandrake asking: can you predict which reverse transcriptases work the best for prime editing? 250+ participants from 15 countries signed up Hosting a live webinar to go deeper and take your questions! 📅 March 18 · 9:30 PM IST / 11 AM EST 💰 $1,000 prize · Deadline March 31 Register ↓