Stuart MacGowan retweeted
The github repo is still in development but available at github.com/jtrinquier/SoftAl….
Stuart MacGowan retweeted
Today "a milestone in the evolution of personalized therapies for rare & ultra-rare inborn errors of metabolism"
—the 1st human to undergo custom genome editing
—outgrowth of decades of NIH funded research
nejm.org/doi/full/10.1056/NE…
nejm.org/doi/full/10.1056/NE… @NEJM
nytimes.com/2025/05/15/healt…
Stuart MacGowan retweeted
ProteinGuide: Predictor guidance for generation with any autoregressive or discrete diffusion protein model.
@junhaobearxiong @jlistgarten
Stuart MacGowan retweeted
In a medical milestone, a customized base editor was developed, characterized in human and mouse cells, tested in mice, studied for safety in non-human primates, cleared by @US_FDA for clinical trial use, manufactured as a complex with an LNP, and dosed into a baby with a severe, rapidly progressing genetic disease... all in an astounding 7 months. Best of all, the infant patient shows apparent benefit. Congratulations to @kiranmusunuru, Rebecca Ahrens-Nicklas, and other team members for this heroic and inspiring effort, which has implications for the hundreds of millions of patients that suffer from thousands of genetic diseases.
drive.google.com/file/d/1Jfk…
Stuart MacGowan retweeted
The Open Molecules 2025 dataset is out! With >100M gold-standard ωB97M-V/def2-TZVPD calcs of biomolecules, electrolytes, metal complexes, and small molecules, OMol is by far the largest, most diverse, and highest quality molecular DFT dataset for training MLIPs ever made 1/N
Stuart MacGowan retweeted
If I wanted to design a mini binder protein that binds to a known small molecule, what’s the SotA model to use right now?
Stuart MacGowan retweeted
New publication. We quantify the aggregation of >100,000 random protein sequences to train CANYA, a convolution-attention hybrid neural network to predict aggregation from sequence. With @Bennibolo @CRGenomica @sangerinstitute @IBECBarcelona science.org/doi/10.1126/scia…
Stuart MacGowan retweeted
Come and join us! We’re hiring a new Group Leader in Generative Biology at the @sangerinstitute
Building AI models or the data to train them?
Core funding of >$130M a year for a faculty of ~30.
pls RT!
nature.com/naturecareers/job…
acrobat.adobe.com/id/urn:aai…
Stuart MacGowan retweeted
MolSnapper has now been published in @JCIM_JCTC!
MolSnapper integrates expert knowledge into diffusion models for structure-based drug design using a conditioning approach.
Congratulations @YaeliZiv, @fergus_imrie, Brian Marsden, and Charlotte Deane.
pubs.acs.org/doi/10.1021/acs…
Stuart MacGowan retweeted
We're hiring a Research Software Engineer to join OPIG and @OxfordStats!
This is a permanent role to support the group's world-leading open source tools
Grade 8 salary band £48k-£57k pa.
Apply by 4th June 2025, noon UK time.
Further details here: my.corehr.com/pls/uoxrecruit…
Stuart MacGowan retweeted
Happening today at **4:30PM** ET!
Next Tues (4/29) at **4:30PM** ET, we will have
@ginaelnesr @HWaymentSteele present "Learning millisecond protein dynamics from what is missing in NMR spectra"
Paper: biorxiv.org/content/10.1101/…
Sign up on our website for zoom links!
Stuart MacGowan retweeted
Python library that adds interactive dashboards to pandas dataframes for exploring data
Stuart MacGowan retweeted
Complete view of de novo mutation rate across the genome estimated from a four-generation pedigree using five complementary short and long read sequencing technologies.
The authors estimate 98–206 DNMs per transmission:
- 74.5 SNVs
- 7.4 tandem repeats
- 65.3 structural variants
- 4.4 centromeric DNMs
Among males, 12.4 de novo Y-chromosomal mutations per generation.
16% of the de novo SNVs are post zygotic in origin.
Impressive data from Eichler's lab!
Porubsky et al. Nature
nature.com/articles/s41586-0…
Stuart MacGowan retweeted
Microsoft launched the best course on Generative AI!
The free 21 lesson course is available on Github and will teach you everything you need to know to start building Generative AI applications.
Stuart MacGowan retweeted
Coming soon!
We’re introducing the Docker MCP Catalog and ToolKit to streamline how developers discover, install, authenticate, and connect #MCP servers to their favorite clients.
youtube.com/watch?v=98M_6njO…
Stuart MacGowan retweeted
We have released the successor to ANARCI - ANARCII - a suite of Seq2Seq language models trained to number antibody (or TCR) sequences!
Read the paper: biorxiv.org/content/10.1101/…
Play with the webtool: opig.stats.ox.ac.uk/webapps/…
Documentation and codebase: github.com/oxpig/ANARCII



































