My time in @martinsteinegger.bsky.social's group is ending, but I’m staying in Korea to build a lab at Sungkyunkwan University School of Medicine. If you or someone you know is interested in molecular machine learning and open-source bioinformatics, please reach out. I am hiring! mirdita.org

Amazing summary of our recent ProteinTTT paper youtube.com/shorts/XWueh...

Very happy @roman-bushuiev.bsky.social and I joined the amazing team led by @hannes-stark.bsky.social to work on BoltzGen, a generative model for binder design based on Boltz-2. Excited what it will enable!

Excited to release BoltzGen which brings SOTA folding performance to binder design! The best part of this project is collaborating with a broad network of leading wetlabs that test BoltzGen at an unprecedented scale, showing success on many novel targets and pushing the model to its limits!

We train machine learning models on millions of proteins. But when it comes to making predictions, do we need them to understand all proteins at once? Often, we need an accurate model for the specific protein we are studying or designing. We address this with ProteinTTT arxiv.org/abs/2411.02109 1/🧵

Yesterday @roman-bushuiev.bsky.social visited our lab. He gave a seminar talk about his recent work on DreaMS (www.nature.com/articles/s41...), and provided a hands-on training to my lab members. Looking forward to what we will discover using this awesome tool!

Mass spectrometry is a key method to discover and identify molecules in biological and environmental samples. Yet, >90% of mass spectra remain hard to interpret. In our recent paper, we present DreaMS — a foundation model to interpret mass spectra of small molecules. www.nature.com/articles/s41...

This paper represents a great effort by @roman-bushuiev.bsky.social and his brother @anton-bushuiev.bsky.social. The DreaMS foundation model for mass spectra of small molecules now opens lots of avenues for possible downstream applications. It might be a game changer for computational metabolomics.

🚀 Exciting MassSpecGym leaderboard update 🚀 Two new machine learning models achieve up to a 300% improvement in de novo molecular generation given mass spectra and corresponding chemical formulae. 🔥 1/n

MassSpecGym - the first comprehensive benchmark for the discovery and identification of molecules from MS/MS data. @roman-bushuiev.bsky.social @anton-bushuiev.bsky.social @josef-sivic.bsky.social @pluskal-lab.org NeurIPS 2024 paper: arxiv.org/abs/2410.23326 #ChemSky #MassSpec #AI4Science

🤝 In April 2024, brothers Roman and Anton Bushuiev from the teams of @pluskal-lab.org @iocbprague.bsky.social and Josef Šivic #CIIRC_CTU initiated a collaboration among 14 research institutes across the globe to benchmark #AI methods for the discovery of molecules from mass spectrometry data. 1/2

MassSpecGym is the largest publicly available collection of mass spectra data with 231K spectra for 29K unique molecular structures. 33% of the dataset was generated from newly measured, in-house data. 🛡️The dataset is now certified on Polaris! polarishub.io/datasets/rom... youtu.be/G8ZnVRm0ogc

Met the twins @roman-bushuiev.bsky.social @anton-bushuiev.bsky.social

Check out our NeurIPS 2024 spotlight poster on MassSpecGym, a dataset and benchmark for discovering new molecules from nature 🌿. If you work on generative models for graphs/molecules, plug your model into MassSpecGym and see how many molecules you can discover! 🚀 1/6

What are the most interesting datasets and benchmark-related work for ML in drug discovery at NeurIPS? We’ll be at the conference doing short interviews with researchers and handing out some Polaris merch! Here’s who we have on the shortlist. 🧵

👏 IOCB Prague is celebrating two significant achievements in the field of scientific research. See more at ► www.uochb.cz/en/news/664/... ⤵️ #EMBO #ERC #ERCCoG

Check out our MassSpecGym dataset on @polarishq.bsky.social. 🤩