Julian Englert
@julian_englert
Engaging in self-constructive behavior.
Building @adaptyvbio.
Interested in: bio/nanotech, longevity, cognitive science, blockchain stuff, space colonization
ID: 1018191171657588736
https://adaptyvbio.com 14-07-2018 17:51:07
98 Tweet
1,1K Followers
779 Following
Crowdsourcing better cancer drugs! At Adaptyv Bio, we want to allow anyone to become a protein designer. Test your skills and design a binder to EGFR to make an improved cancer drug. The best designs will be tested experimentally in our automated wet lab and all results will be
Awesome tools to design novel proteins Just a bit more than 10 days to go until the submission deadline of our first protein design competition at Adaptyv Bio! We’ve been getting lots of interest from people curious about learning how to design proteins so we created a resource
Check out lab.bio 💚🥼! Super easy way to get started designing proteins for the Adaptyv Bio competition
In collaboration with GreiffLab 💻🔬💊 naturalantibody and Geir Kjetil Sandve we looked at what differentiates natural from engineered antibodies using LLMs - paper is now published, check it out!
Less than 5 days to go for our protein design competition at Adaptyv Bio! We just updated the competition page with a virtual leaderboard for the top 10 designs ranked according to iPAE. Will be updated daily till the submission deadline on Sunday Aug 18! Can you beat the
Only 48h till the submission deadline for our protein design competition at Adaptyv Bio! Can you make it into the top 100? Check out the current leaderboard and submit your designs!
1/ I did my own little hackathon last weekend designing EGFR binders for Adaptyv Bio's protein design competition. I was really excited to see that my submissions took the top 10 spots in the virtual scoring phase! I got some DMs asking about my process so here's a thread:
I participated in the Adaptyv Bio competition to design an EGFR binding protein design.adaptyvbio.com. I'll outline the process that led to this wide range of rankings in my submissions. 1/
Arc Institute scientists report a long-context RNA foundation model for predicting transcriptome architecture Long read RNA data -> hybrid state-space model (StripedHyena) -> a new frontier RNA model Congrats Hani Goodarzi Hani Goodarzi and team! biorxiv.org/content/10.110…