Mandrake Bio

Making Life Programmable

[Lipi Thukral @Sci_Lipi]

Kudos to the team @BioMandrake who won one of the challenging @adaptyvbio binder competition.

Read the description just now, the trajectory form instead of single runs is a killer idea! Great going, Happy to see our very own @Surabhi_CSB being a part of this!!

[Tanay Lohia @tanaylohia]

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 👇

https://t.co/Vt5lzgDRNB

[Tanay Lohia @tanaylohia]

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.

[Tanay Lohia @tanaylohia]

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!

[Mandrake Bio @BioMandrake]

@tanaylohia @davidrliu

[Tanay Lohia @tanaylohia]

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 ↓

[Mandrake Bio @BioMandrake]

Most ML models just memorize the Retroviral family. The task is to generalize across different RT Families.

57 experimentally tested RTs. 98 biophysical features. ESM-2 embeddings. Predicted 3D structures. Compute credits for promising ideas.

[Mandrake Bio @BioMandrake]

We just launched our first open ML challenge at @BioMandrake

The Retroviral Wall - predict which reverse transcriptase enzymes work for prime editing, without memorizing their evolutionary family.

$1K prize + co-authorship + real wet lab validation