🐍 Want to publish your own Python package? Join pyOpenSci’s 2-hour online workshop Nov 6: ✔️ Build your first package fast ✔️ Learn the core files (pyproject.toml, docs, metadata) ✔️ Publish to PyPI with confidence 📅 Nov 6, 2025 | Online 🎟️ bit.ly/PythonPackaging
This is the golden age of science informatics!
Run BioEmu in Colab - just click "Runtime → Run all"! Our notebook uses ColabFold to generate MSAs, BioEmu to predict trajectories, and Foldseek to cluster conformations. Thanks @jjimenezluna.bsky.social for the help! 🌐 colab.research.google.com/github/sokry... 📄 www.biorxiv.org/content/10.1...
The new #RDKit blog post is an update of an older tutorial on displaying fingerprint bits. greglandrum.github.io/rdkit-blog/p...
RDKit blog - Rendering fingerprint bits
Visualizing the meaning of fingerprint bits
greglandrum.github.io
Are you interested in getting involved in peer review of software? We need more editors! We are looking for folks with a background in #physics and also people with more stats / analytics background. Join our team. support the #opensource tools that drive #science 📢 Apply here: buff.ly/PKSpJ47
forms.gle
Currently making a slide deck in markdown and I've never felt so powerful
polaris is an amazing tool with a similarly amazing development team! Try it out today if you work in Computer Aided Drug Discovery world
Big milestone for @polarishub.io. We merged our first external contribution, thanks to @fastprop.bsky.social! 🎉 github.com/polaris-hub/... #opensource #benchmarking #ml #drugdiscovery
🚨 Extension Alert: The intermediate leaderboard submission deadline for the antiviral challenge has been extended to midnight on February 7th! Don't miss this chance to see how you stack up against other participants! Submit your results today: polarishub.io/competitions
This is obviously how scientific articles should be, and if we had an open ecosystem designed for users rather than profit, we would have had this years ago. Time to dump commercial publishers and their paywalls.
Want to see a quick demo of the technology that might replace citations in scientific papers? Goodbye citations, hello embeds. I was just hoping for links in scientific papers, but this is even better!
I highly suggest all my followers working with Python to follow @pyopensci.org - great resources for packaging your code for improved reproducibility
Thank you to everyone who read and cited my papers last year - proud to say that I received 10 citations in 2024! Double digits for the first time🎉
It is roughly 10 lines of code to go from 1 GPU to N GPUs with pytorch DDP. Pointing this out so that everyone is aware and doesn't shy away from scaling their code
That C-C and C-N coupling are now viewed as boring (comparable to amide bond formation!!) is a testament to the work that Buchwald, Hartwig, and many others have done in the past 20 years.
An interesting read for all scientists publishing papers
There was this Tsai/Yuste/Shepard paper that meister famously eviscerated. markusmeister.com/2018/03/20/d... It seems that the authors never retracted the paper (or does ieee not mark retractions)? If not, does anyone know why not? @retractionwatch.com
LLMs aren't reasoning, and I tire of seeing articles acting like they are
📢 Calling all ML practitioners! Have you been waiting for an opportunity to prove how well your model performs on a blind, newly generated and consistent test set? You now have the unique opportunity to! Super excited to launch a first competition on @polarishub.io!
🦠 We’re excited to announce our first competition in partnership with @asapdiscovery.bsky.social and @omsf.io! Test your skills across three sub-challenges revolving around SARS-CoV-2 and MERS-CoV Mpro🧵 Full details: polarishub.io/competitions Blog: polarishub.io/blog/antivir...
I want to learn fortran - any recommendations on projects to try, toolchains to use, etc.?
My machine learning data splitting library astartes has just hit 64 stars on GitHub! ⭐ We built this to help rigorously quantify how well our models actually work - if you want to quantify how well you models extrapolates into new feature or target space, give it a look: github.com/JacksonBurns...
GitHub - JacksonBurns/astartes: Better Data Splits for Machine Learning
Better Data Splits for Machine Learning. Contribute to JacksonBurns/astartes development by creating an account on GitHub.
github.com
Graduate school is revising a paragraph seven times knowing full well that people will skim it just to get to the figures...