Christopher Frank
banner
chrisfrank662.bsky.social
Christopher Frank
@chrisfrank662.bsky.social
De novo Protein Designer
DNA Origami wizzard
I like lifting rocks
PhD student
@TU_Muenchen
Cant wait for the first tests 🚀
February 20, 2025 at 4:22 PM
And one more note: In the beginning we were skeptical about this work, as it posses the real risk of being used to create designs with serious biosecurity risks 😉😅
November 22, 2024 at 12:47 PM
Now, where is the limit? Well, we went even further, testing 2000 AA designs in silico, but up to this point we haven’t succeeded in finding a designable sequence for our protein pretzel :D
November 22, 2024 at 12:47 PM
We tested just one sequence, which worked out of the box, and we got clean samples right after the Nickle-NTA purification. TEM analysis also showed that the designed protein seems to agree very well with the designed shape.
November 22, 2024 at 12:47 PM
We then wanted to push the size limits even further. When designing a 1500 AA triangle shaped protein we noticed that neither ESMFold, nor AF2 with IG & AA could predict the sequences confidently, so we went with AF3, which did a better job.
November 22, 2024 at 12:47 PM
I was honestly surprised how well this worked. The TEM micrographs are so cool :D Just a bunch of tiny shapes
November 22, 2024 at 12:47 PM
The 12 proteins expressed well and nsTEM analysis of them revealed that for 10 of them they match their designed shape nearly perfectly, as seen by 2D class averages :D
November 22, 2024 at 12:47 PM
To investigate if this improvements in in silico success would translate in wet lab results, we went on a very fun journey, designing proteins shaped like letters of the Latin alphabet using Chroma and the af2cycler. The af2cycler improved the designability of the chroma designs strongly
November 22, 2024 at 12:47 PM
But this small changes result in large improvements in designability. Making even designs of 1000 AAs readily designable. Just like RSO!
November 22, 2024 at 12:47 PM
The af2cycler changes the backbone only slightly, keeping the overall structure the same, but correcting small inconsistencies.
November 22, 2024 at 12:47 PM
The af2cycler takes in Chroma designed sequences and structures and performs multiple rounds of denoising, by employing a combination of AF2 predictions and ProteinMPNN sequence design. The resulting backbones are subject to solubleMPNN and then repredicted with ESMFold
November 22, 2024 at 12:47 PM
This project started a year ago with the introduction of #Chroma and the observation that the Chroma designs look promising, but often fail when subject to strict in silico filtering.
November 22, 2024 at 12:47 PM