Fernando A. T. P. Meireles retweetledi
New preprint! We measured temperature- and pH-induced aggregation for over 18,000 natural and de novo designed protein domains!
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Fernando A. T. P. Meireles
50 posts
Fernando A. T. P. Meireles
@FATPMeireles
PhD student @EPFL and MSC fellow of the #EPFLglobaLeaders programme. Interested in antimicrobial resistance, protein design, and molecular dynamics simulations.
Switzerland Katılım Haziran 2023
62 Takip Edilen19 Takipçiler
Fernando A. T. P. Meireles retweetledi
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!
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Fernando A. T. P. Meireles retweetledi
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: pretix.eu/SBD/RCon2025/
Website: europeanrosettacon.org
We are looking forward to seeing you!
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Fernando A. T. P. Meireles retweetledi
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: biorxiv.org/content/10.110…
💻Code & more coming soon!
#RNAbiology #AI4Science
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Fernando A. T. P. Meireles retweetledi
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 🙌
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Fernando A. T. P. Meireles retweetledi
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.
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Fernando A. T. P. Meireles retweetledi
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!)
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. 💻 github.com/Bitbol-Lab/rag… 🔗 doi.org/10.1101/2025.0… 1/7
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Fernando A. T. P. Meireles retweetledi
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
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Fernando A. T. P. Meireles retweetledi
We'll be presenting the poster tomorrow (Thu 24/04) at 10am #ICLR2025. Please come and say hi :)
iclr.cc/virtual/2025/p…
@igashov @AdrDobbel
Arne Schneuing@rneschneuing
The code & camera-ready version of our #ICLR2025 paper on "Multi-domain Distribution Learning for De Novo Drug Design" are now available 📚 Paper: openreview.net/forum?id=g3VCI… 💻 Code: github.com/LPDI-EPFL/Drug… (1/4)
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Fernando A. T. P. Meireles retweetledi
📢 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.
💻 github.com/Bitbol-Lab/rag…
🔗 doi.org/10.1101/2025.0…
1/7
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Fernando A. T. P. Meireles retweetledi
🚨 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
Arne Schneuing@rneschneuing
The code & camera-ready version of our #ICLR2025 paper on "Multi-domain Distribution Learning for De Novo Drug Design" are now available 📚 Paper: openreview.net/forum?id=g3VCI… 💻 Code: github.com/LPDI-EPFL/Drug… (1/4)
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Fernando A. T. P. Meireles retweetledi
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.
github.com/microsoft/bioe…
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 biorxiv.org/content/10.110…
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Fernando A. T. P. Meireles retweetledi
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
sciencedirect.com/science/articl…
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Fernando A. T. P. Meireles retweetledi
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: huggingface.co/spaces/LBM-EPF…
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Fernando A. T. P. Meireles retweetledi
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
biorxiv.org/content/10.110…
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Fernando A. T. P. Meireles retweetledi
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.”
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Fernando A. T. P. Meireles retweetledi
Last week to apply ;)
Matteo Dal Peraro@matteodp
We have two exciting positions to offer @epflSV in the fields of metabolism and life science engineering. If you want to start your lab at @EPFL_en, apply at Metabolism: epfl.ch/about/working/… Life Science Engineeering: epfl.ch/about/working/… deadline is October 15th.
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Fernando A. T. P. Meireles retweetledi
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!!
Will Hua@WilliamCQHua
EnzymeFlow: Reaction-conditioned Flow Matching for Catalytic Pocket Design. - EnzymeFill Dataset - EnzymeFlow Model. - Enzyme-Reaction Co-Evolution Concept. - Function-guided Design. paper: arxiv.org/abs/2410.00327 code: github.com/WillHua127/Enz… tutorial: mcgill-my.sharepoint.com/:w:/g/personal…
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Fernando A. T. P. Meireles retweetledi
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
Congrats to @MartinPacesa !!! The first two hits were pretty much identical to known binders so are not counted in the leaderboard
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Fernando A. T. P. Meireles retweetledi
The results are out! Damn 153 characterized but only 5 bind coming just from 3 groups/persons!
Adaptyv Bio@adaptyvbio
🧬 Protein Design Competition Update 🧬 Experimental characterization for all protein designs has been completed! We are still processing the last experiment runs and will be releasing the results on Friday Sep 20 at 6 PM CET - 2 PM EST - 9 AM PDT foundry.adaptyvbio.com/egfr_design_co…
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