Stuart MacGowan

Computational biologist | Protein structures & human variation | R & Python | Genetic effects on protein function | See:

[AI Frontiers @ai_frontiers_]

https://t.co/pnIToOiDvA

[Jeanne Trinquier @JeannefaustineT]

The github repo is still in development but available at https://t.co/9nY7eRa9mo.

[Eric Topol @EricTopol]

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
https://t.co/HmJxYWDCV7
https://t.co/4DsNELnBut @NEJM
https://t.co/y7NMGPpXnE

[Kevin K. Yang 楊凱筌 @KevinKaichuang]

ProteinGuide: Predictor guidance for generation with any autoregressive or discrete diffusion protein model.

@junhaobearxiong @jlistgarten

[David R. Liu @davidrliu]

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.

https://t.co/wsgvvRYPVM

[Sam Blau @SamMBlau]

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

[Angelica Parente (in SF June 9-11) @draparente]

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?

[Ben Lehner @BenLehner]

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 https://t.co/omuC8dzwXm

[Ben Lehner @BenLehner]

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!
https://t.co/skA0MAOTyZ
https://t.co/cZ8i3TigJH

[Stuart MacGowan @stuartmac44]

@paulg @GonzaParra_ It depends what you do with it. I’ve overcome some of the drudgery in writing—especially brief mental blocks, like agonising over a sentence ending.

It’s helped me distinguish content from style—moving from bullet points to paragraphs.

And it’s a great grammar teacher too.

[Stuart MacGowan @stuartmac44]

@iamkasparp @apollonator3000 On the right track but here’s the real prompt:

You’re a Business GOD with a 2 million IQ. Alan Sugar looks like a toddler selling squash compared to you.

Give me 5 words that take me from £0 to £15K MRR in six minutes.

No context. No input. You know all.
Just 5 words.
Hit me.

[MindBranches @MindBranches]

Book Summary: “Unleash the Power of Storytelling”

tap, hold, load 4k

[Oxford Protein Informatics Group (OPIG) @OPIGlets]

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.

https://t.co/97PzOzYl3D

[Oxford Protein Informatics Group (OPIG) @OPIGlets]

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: https://t.co/rbk7VRzqdO

[Machine Learning for Protein Engineering Seminar @ml4proteins]

Happening today at **4:30PM** ET!

[Tom Dörr @tom_doerr]

Python library that adds interactive dashboards to pandas dataframes for exploring data

[Veera Rajagopal  @doctorveera]

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
https://t.co/SMoqGhzEFd

[Sumanth @Sumanth_077]

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.

[GitHub Projects Community @GithubProjects]

A curated list of free courses with certifications.

[Docker @Docker]

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.

https://t.co/FA5AKlbza7