[ WIP ] Add tutorial for membrane RBFE calculation#286
[ WIP ] Add tutorial for membrane RBFE calculation#286hannahbaumann wants to merge 2 commits intomainfrom
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hannahbaumann
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Line #25. settings=RelativeHybridTopologyProtocol._adaptive_settings(
Do we not need to add the lipid force field to the settings or is adaptive doing this? Also this is another place we are exposing _adaptive to the world do we need to add a public entry point?
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Line #43. network = openfe.AlchemicalNetwork(transformations)
Woow so many warnings we need to remove a lot of these!
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Already done - Hannah's branch isn't up to date with main.
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Two out of three of these imports warning seems to be some kind of problem with our typing vendor in gufe. I have opened an issue.
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For this example, rather than separating this in a separate step, I think it will be more useful to the readers if you just do these calls in-place, i.e. modeller = openmm.app.Modeller(protein.to_openmm_topology(), protein.to_openmm_positions().
With a little bit of formatting, that will look a lot less overwhelming.
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This is too unweidly for users in my opinion, I think OpenFreeEnergy/gufe#568 will need to be completed.
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Generally would not recommend overwriting an existing file in your example, that's going to lead users to do bad things on their end - I would instead suggest you set a new file name for it.
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Could you somewhere make a statement about which of these would be applicable to the "merged PDB" example shown above? (give that most Maestro users would be going down that path).
numpy array using OpenFF units (see below)
This is the wrong level of details at this point, here I would just say "box vectors in OpenMM format". Then in the section below, I would precise that it has to be a united array.
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Add some details on how this is done? Any caveats that one might need to consider (i.e. making sure that the system is wrapped / not broken across periodic images)?
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Add some details on the types of lipid forcefields that are currently supported (i.e. I know there are some that won't work, which currently do work and which should one avoid?)
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