Amazing, congratulations @machine.learning.bio

Thank you for the feedback! That’s great to hear 🙌

(2/2) ... say a diffusion trajectory then it's doing something you cannot achieve by rsyncing folders (or only *very* cumbersomely). I mostly use it to debug & sanity check my code whilst developing for example

(1/2) Good question! If you only use it to look at static pymol files that you saved out then yes, it's an alternative to rsyncing your hpc folder. If you use it to for example visualize in-RAM objects during code execution / debugging, or if you use it to manually dock something midway through ...

Thank you Greg! I actually found out about this functionality by using your fantastic RDKit package and very much based it on your RPC implementation there ( 😉 see the 3. Credits section). I mainly added functionality to send back and forth application states and a wrapper command for ease of use

Haha great point ^^ your milage varies but I've found Claude sonnet 3.5 via the cursor.com integration to work reasonably well -- the copilots then pick up patterns if there's already some sensible commands within the context

Congratulations! This is very exciting news

Amazing! Congratulations to you and the cradle team 🙌

Haha where can I order an edition of this? :D

As added bonus this allows you to use github copilot or cursor's copilot directly in pymol

Check it out here:
github.com/Croydon-Brix...

My workflow:
I use GPUs on my university's cluster to run models, etc.
When I want to look at my designs, I open a pymol session on my laptop, log into the uni vpn and send the structures to my local remote from an interactive session on the cluster.