Tudor-Stefan Cotet (@cotettudor) 's Twitter Profile
Tudor-Stefan Cotet

@cotettudor

MSc Biotechnology student at ETH Zürich | ESOP Scholar 2023 | Computational immunology and protein design enthusiast

ID: 1504101601379766275

calendar_today16-03-2022 14:26:11

803 Tweet

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Rebecca Buller (@rebeccambuller) 's Twitter Profile Photo

Are you passionate about how #enzyme_catalysis can be used for #sustainable_synthesis🌿🌎? Check out the open positions (PhD & Postdoc) in my lab and join a great team of enzyme lovers DCBPunibern! 👉ohws.prospective.ch/public/v1/jobs… 👉ohws.prospective.ch/public/v1/jobs… 📣 Please spread the word!

Are you passionate about how #enzyme_catalysis can be used for #sustainable_synthesis🌿🌎? Check out the open positions (PhD &amp; Postdoc) in my lab and join a great team of enzyme lovers <a href="/DCBPunibern/">DCBPunibern</a>!

👉ohws.prospective.ch/public/v1/jobs…
👉ohws.prospective.ch/public/v1/jobs…

📣 Please spread the word!
Julian Englert (@julian_englert) 's Twitter Profile Photo

🌍 The biggest decentralized science experiment of 2025 is starting now! The protein design competition returns: we’re inviting scientists, engineers, and hackers from around the world to help design new proteins capable of neutralizing the Nipah virus, a pathogen with up to 75%

🌍 The biggest decentralized science experiment of 2025 is starting now!

The protein design competition returns: we’re inviting scientists, engineers, and hackers from around the world to help design new proteins capable of neutralizing the Nipah virus, a pathogen with up to 75%
Adaptyv Bio (@adaptyvbio) 's Twitter Profile Photo

🚨 The Protein Design Competition is back: Bigger, better, and more impactful than ever. This time, the global protein design community will test 1,000 novel protein sequences against one of the deadliest known viruses: 🦠 Nipah. Last year, we challenged the community to design

Proteinbase (@proteinbase) 's Twitter Profile Photo

🚨 The Protein Design Competition is back: Bigger, better, and more impactful than ever. This time, the global protein design community will test 1,000 novel protein sequences against one of the deadliest known viruses: 🦠 Nipah.

Corey (@design_proteins) 's Twitter Profile Photo

Love the target choice for this protein design competition! high impact and looks to be challenging with flexible loops at the binding site I will definitely be participating Looking forwad to seeing all the insights from results and data generated

Akash Arunabharathi (@thereal_akashab) 's Twitter Profile Photo

Participated in this last year, had five or so designs characterized in the wet lab. Easily one of the best hands-on AI-bio experiences I had early on – if you're new and trying to get your hands wet with protein design, 100% check this out, absolutely absolutely worth it

Matt (@mmoderwell) 's Twitter Profile Photo

Added support for PDB protein visualizations just in time for this awesome competition. We've got a team started on Ouro for open collaboration. Share your ideas, ask questions, find collaborators, use AI models - all in one place.

Julian Englert (@julian_englert) 's Twitter Profile Photo

BoltzGen is now live on Proteinbase! We validated the new all-atom protein design model extensively in the lab and now you can access all the experimental data! The full dataset with over 400 lab-validated proteins is open-source, same as the model itself

BoltzGen is now live on <a href="/proteinbase/">Proteinbase</a>! We validated the new all-atom protein design model extensively in the lab and now you can access all the experimental data!

The full dataset with over 400 lab-validated proteins is open-source, same as the model itself
Adaptyv Bio (@adaptyvbio) 's Twitter Profile Photo

In this blog post, Tong Chen and colleagues from Pranam Chatterjee's Programmable Biology Group at Penn are showcasing their most recent model MOG-DFM - a discrete flow matching model capable of optimizing therapeutic peptides across multiple (up to 5) different properties. We

Adaptyv Bio (@adaptyvbio) 's Twitter Profile Photo

Want to see the peptides they designed? All sequences + lab validation data are now available on Proteinbase: proteinbase.com/collections/mo…

Pranam Chatterjee (@pranamanam) 's Twitter Profile Photo

Real-world validation time for one of our lab's favorite new therapeutic peptide design algorithms: MOG-DFM! 💥 As a reminder, our multi-objective-guided discrete flow matching (MOG-DFM) algorithm, developed by my brilliant PhD student Tong Chen, learns Pareto-efficient

Brian Hie (@brianhie) 's Twitter Profile Photo

We are actively recruiting for two positions at the interface between biology and generative design. Backgrounds of particular interest are in protein biochemistry/evolution and synthetic genomics/biology. Please consider joining us! 1/n