Fernando A. T. P. Meireles

PhD @EPFL and MSC fellow of the #EPFLglobaLeaders programme. Interested in antimicrobial resistance, protein design, and molecular dynamics simulations.

[Gabriel Rocklin @grocklin]

New preprint! We measured temperature- and pH-induced aggregation for over 18,000 natural and de novo designed protein domains!

[Martin Pacesa @MartinPacesa]

I am super excited to announce that I will be starting my lab at the Department of Pharmacology of the University of Zurich in Switzerland next year!

[Ajasja 💻🧬🔬 @AjasjaLjubetic]

Early bird registration for 𝐄𝐔 𝐑𝐨𝐬𝐞𝐭𝐭𝐚 𝐂𝐨𝐧 𝟐𝟎𝟐𝟓 is open! 🎉🎉🎉

Come join us for three days of protein design fun! (October 20-22, 2025)

Direct registration link: https://t.co/2pSSTjDBbj
Website: https://t.co/2nxznUnQLV

We are looking forward to seeing you!

[Parth Bibekar @BibekarParth]

Presenting RISoTTo, a molecular context-aware model for RNA sequence design, building on our work with PeSTo (for protein binding interface prediction) and CARBonAra (for protein design).

📄Preprint: https://t.co/uOlAxWz1Vo
💻Code & more coming soon!

#RNAbiology #AI4Science

[Adaptyv Bio @adaptyvbio]

Introducing BenchBB and the community paper of the Protein Design Competition 🎉

We wrote a community paper about our Protein Design Competition, teaming up with your favourite protein designers from both rounds. Excited to announce that this is now on Biorxiv 🙌

[Siewert-Jan Marrink @CG_Martini]

Pre-announcement: MARTINI tutorial workshop, August 11-15th 2025 in Groningen, The Netherlands !!
Learn basic and advanced Martini from the cocktail masters themselves. Registration will open soon.

[Damiano Sgarbossa @damiano_sga]

Excited to be at @iclr_conf this week! I’ll be presenting our latest work at the @MLGenX workshop on Sunday, details in the post below.
(And yes, I’m on the job market, come say hi!)

[Ilia Igashov @igashov]

Excited to be at #ICLR2025 and happy to chat about ML and drug discovery! 🇸🇬
Come find me at one of our posters or feel free to reach out directly!

1. DrugFlow: #9 Thu 24/04 10am
2. SynFlowNet: #15 Fri 25/04 10am
3. LDDM: @gembioworkshop 27/04
4. LatentFrag: #AI4MAT 28/04

[Arne Schneuing @rneschneuing]

We'll be presenting the poster tomorrow (Thu 24/04) at 10am #ICLR2025. Please come and say hi :)
https://t.co/PjfLcPZh8J

@igashov @AdrDobbel

[Damiano Sgarbossa @damiano_sga]

📢 Our new preprint is out on bioRxiv! We introduce RAG-ESM, a retrieval-augmented framework that improves pretrained protein language models like ESM2 by making them homology-aware with minimal additional training costs.
💻 https://t.co/Ka0nqpHmyo
🔗 https://t.co/flmXpvytvg

1/7

[Ilia Igashov @igashov]

🚨 Check out DrugFlow, our new generative model for structure-based drug design. DrugFlow provides an atom-level confidence score for each designed molecule, and can adjust molecular size on the fly!

Additional details in thread 🧵

#ICLR2025

[Frank Noe @FrankNoeBerlin]

The BioEmu-1 model and inference code are now public under MIT license!!!

Please go ahead, play with it and let us know if there are issues.

https://t.co/K7wwHmCt2o

[Luciano Abriata @labriataphd]

Our article on molecularwebxr is out, showing how to use it for engaging discussions, outreach and education in immersive virtual and augmented reality that runs in all devices @epfl

https://t.co/JbGAiaq3VY

[Benedikt Singer @SingerBenedikt]

Inspired by @simonduerr at ERC'24 I built and deployed our sequence redesign model called CARBonAra on @thehuggingface.
The model is aware of any biomolecular context and performs on par with ProteinMPNN (paper)
@lucien_krapp @matteodp

Check it out here: https://t.co/Tp94b7G3xL

[Frank Noe @FrankNoeBerlin]

Super excited to preprint our work on developing a Biomolecular Emulator (BioEmu): Scalable emulation of protein equilibrium ensembles with generative deep learning from @MSFTResearch AI for Science.
#ML #AI #NeuralNetworks #Biology #AI4Science

https://t.co/yzOy6tAoPv

[The Nobel Prize @NobelPrize]

BREAKING NEWS
The Royal Swedish Academy of Sciences has decided to award the 2024 #NobelPrize in Chemistry with one half to David Baker “for computational protein design” and the other half jointly to Demis Hassabis and John M. Jumper “for protein structure prediction.”

[Matteo Dal Peraro @matteodp]

Last week to apply ;)

[Kevin K. Yang 楊凱筌 @KevinKaichuang]

We present EnzymeFlow for generating catalytic pockets conditioned on a reaction

- A dataset of reactions and pockets
- A flow-matching model that conditions on the reaction and leverages related sequences and reactions

Great work by @WilliamCQHua and others!!

[Martin Pacesa @MartinPacesa]

Wow, this is really unexpected! Designs were done together with Lennart Nickel in @befcorreia lab. Our pipeline will be fully open source and preprint online hopefully next week 🙂

[Kelvin Lau 🧬🧪💎 @klausenhauser]

The results are out! Damn 153 characterized but only 5 bind coming just from 3 groups/persons!