Yeah it can work really well as www.qedscience.com demonstrates (for wet lab biology)

Great. Would be nice to have a more direct comparison of the same pipeline on different hardware. If one has to specially optimize each model (TensorRT, BF16) its clearly an argument to stick with an x86 machine

Yes true. Also it's ARM which might create issues with dependencies. But CUDA ecosystem, large memory, low energy consumption are nice...

Maybe, someone from the NVidia Bio Team ( cc @kdidi.bsky.social @machine.learning.bio )can enlighten us if they got their hands on it for testing

And little sidenote that the versioning is becoming quite a mess: Now there is RFDiffusion,RFDiffusionAA, RFDiffusion2, RFDiffusion3 and RFDiffussion2-MI (last two preprinted weeks from each other)

They saw it is hard to achieve a specific binder that recognizes only the phosphorylated target and not the unphosphorylated. Sequence specificity was easy. I also find notable that the model doesn't use motifs common in natural proteins like SH2

Hoping to liberate scientific illustrations from eternal payments to them so that we all can communicate and iterate on ideas faster by building on openly available illustrations.

It's been quite frustrating to deal with BioRender's unwillingness to support open science (while publicly claiming that they do) and administrators in institutions who don't care while paying them $$$ to continue business as usual (globally >10k Mio $).

@pracheeac.bsky.social I'm working on creating a free and open alternative to BioRender for scientific illustrations. Many scientists support this effort but I've also encountered quite some fans who don't realize that they're supporting a defacto monopoly.

Exactly. Also for some countries like Germany where people have been complaining about the conditions for research for years (people finishing their thesis with unemployment money and other shenanigans) it's kinda a slap in the face that suddenly there is money to bring in new hires...

Not as pretty but this should give you a vector you can tune easily in a similar way with reduced color complexity (might be a bit slow for large proteins in contour mode) bioicons.com/pdb2vector/ And uses less CO2 😅

No. The other libraries have different names (e.g RCSB Mol*, PDBe Mol*). Mol* = mol* = molstar

It would be nice if molviewspec would support trajectories because you could easily set up your scene from python and then just use an iframe viewer. colab.research.google.com/drive/1O2Tld...

But seems only pdb/cif and map data so far: molstar.org/mol-view-spe...