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We (@lindner_seb, Michael Heinzinger) introduce REXzyme, a new model for the generation of enzymes that catalyze user-defined chemical reactions. We'd like that the community can benefit as soon as possible from it, so we made it available in HuggingFace: huggingface.co/AI4PD/REXzyme.

RoseTTAFold updated to be All-Atom... biological assemblies containing proteins, nucleic acids, small molecules, metals, and covalent modifications ... and diffusion🤯biorxiv.org/content/10.110…

Chroma online! github.com/generatebio/ch…

🚨Job Alert🚨 Two open positions in the AI for protein design lab: 1) One fully-funded PhD for the (experimental) design of artificial enzymes 2) A three-year (extensible) postdoctoral position for training intelligent agents and XAI techniques. Apply: aiproteindesign.com/jointhelab

Is DNA all you need? In new work, we report Evo, a genomic foundation model that learns across the fundamental languages of biology: DNA, RNA, and proteins. Evo is capable of both prediction tasks and generative design, from molecular to whole genome scale.

Excited to share that I am starting a lab focused on deep learning-based protein design, biophysics and fundamental biology at Max Planck Institute of Biochemistry (MPIB) and Gene Center Munich in Munich with the Emmy Noether Programme this summer. Join us as a PhD or postdoc. More to follow soon!

It has been public for a while, but with #VoM2024 starting, today is as good as any to introduce our new tool phage genome annotation tool Phold. Phold uses structural homology to assign functions to phage proteins (1/n)

Phage annotation tool called PHOLD, developed by George Bouras who also created PHAROKKA. This tool transforms the way scientists annotate phage genomes by predicting more features using protein morphology instead of only relying on sequences. thephage.xyz/2024/07/21/pho…

Technical Report of HelixFold3 for Biomolecular Structure Prediction The PaddleHelix research team at Baidu have released their AlphaFold3 replication under an open-source noncommercial license. Performance approaches that of AlphaFold3. abs: arxiv.org/abs/2408.16975 website:

Finally, out in Science Magazine today, our work on de novo protein design. Together with Motoyuki Hattori (服部素之) , Sergey Ovchinnikov & @hendrik_dietz we showed how we can drastically improve AF2 based hallucination, surpassing, or reaching SOTA diffusion models doi.org/10.1126/scienc…

Super excited to preprint our work on developing a Biomolecular Emulator (BioEmu): Scalable emulation of protein equilibrium ensembles with generative deep learning from Microsoft Research AI for Science. #ML #AI #NeuralNetworks #Biology #AI4Science biorxiv.org/content/10.110…

Michael Heinzinger and I are seeking talented postdocs to support for the Marie Skłodowska-Curie Fellowship! Join our international AI+biology team, collaborate on protein design, and access top labs in the US & EU. Interested? Apply by July 15! Details: machine.learning.bio/news/msca