#OSS in #HigherEd

The University of Washington School of Medicine, #Columbia, and #MIT researchers released RF Diffusion, an #OpenSource artificial intelligence (#AI) program, through #ColabFold, part of #Google's Colaboratory. The code is also available from #GitHub.

#EdTech #HigherEducation #EdTechChat

https://www.ipd.uw.edu/2023/03/rf-diffusion-now-free-and-open-source/

Bold predictions by AlphaFold (#ColabFold 1.5.2), part 2 — all tyrosine rings shall be transfixed! Not sure why this happens sometimes.

RT @ath_baltzis
Thrilled to announce the very first release of the nf-core/proteinfold pipeline!!! 🚀🚀🚀
#AlphaFold #ColabFold https://twitter.com/nf_core/status/1624096862352420888

RT @ath_baltzis
Thrilled to announce the very first release of the nf-core/proteinfold pipeline!!! 🚀🚀🚀
#AlphaFold #ColabFold https://twitter.com/nf_core/status/1624096862352420888

RT @MirkoSinger
Especially happy to shed some light on #invasion of #apicomplexa by integration of #proteomics data, thanks to Dr. Ignasi Forné, with structure prediction using #Colabfold and colocalization analysis using 3D-STED. @PLOSBiology #plosbiologyauthor https://twitter.com/MeissnerLab/status/1611075593684017155

But our XLs also capture identities of + localise interfaces in >2000 binary PPIs! Many of these were known from previous high throughput #interactomics, but others were predicted, or a hop & skip away. Again - these are PPIs in native seqs, subcell locales, PTMs, cofactors.

Using #ColabFold, Xabier Vazquez Campos submitted >500 of our XLd PPIs + 400 random pairs to Multimer-v2 modelling. All types of XLd PPIs had larger predicted interfaces than those for random pairs. We also found diferences in interfaces for PPIs detected by diff interactome techniques.

Using Google #Colab as an alternative to web servers for scientific software #jupyter #datascience #colabfold​

https://dataalltheway.com/posts/006-google-colab-for-scientific-software/