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Problem creating topology for POPC using Interchange.from_smirnoff() #1929
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Hi @dkchalmers, I think this is actually working with both of your molecules, the issue with popc is just emitting a warning (not an error). We might see about squelching the warning, but I think your notebook is running successfully. Could you try using the outputs and let me know if there's an issue? |
Hi @j-wags. Ahh - thanks very much. I can see that it does indeed work. I was mislead by the warning and also that generating the topology for POPC takes 10 times as long as for cholesterol. I timed the two - cholesterol takes 35 seconds, popc takes 392 s. |
Hah, I saw a similar comment on related repo yesterday. Looks like it's already been deleted. Thanks for the report. The long charge assignment time kinda makes sense since it's a large flexible molecule. We have a new AM1BCC charge assignment tool (NAGL) in the works that should be much faster, so hopefully the long parameterization time won't be a problem for much longer. I'll close this issue since it seems like the POPC is being parameterized correctly, but please feel free to reopen it if you find further problems. |
Thanks for your reply - although I can generate a topology for a single POPC molecule, more than one seems to make things much slower - to the point that I cant generate a topology for a file containing 2 POPC molecules and 1 water. The attached parameterise.py script works for a file containing 2 x cholesterol and 1 water ./paramaterise.py bilayer_c_solv.pdb However the same thing with 2 x POPC and 1 water does not complete in > 2 hours ./paramaterise.py bilayer_p_solv.pdb cholesterol.mol2.txt |
Thanks for the example, I've reopened the issue and reproduced what you're seeing. The problem here appears to actually be in the Whole we work on fixing that, a quick workaround to your issue is to use the
The downside to the (And again, I consider this failure of |
Thanks - a fix to this problem would be very helpful! I tried to read my bilayer model using openmm.app.PDBFile - however, this does not work (error below). Although the error says 'attribute bonds', it seems to me that the 'pdb' object is missing bond-order information. Script: parameterise.py.txt ./parameterise.py bilayer_p_solv.pdb |
Change
to
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Thanks for your help - that is working. I am also very interested in working with peptides and proteins with lipid bilayers - so a fix for the original issue would be great. |
The stereochemistry warning is common, but you likely don't need to worry about it here. Although I cannot see, but as you suspect, the issue arises from the phosphate, which we've run into as well. In case you find it useful, this notebook parametrizes both a single lipid and/or a full PDB system (128 lipids fully hydrated here) in 10-15 min (note: this example implements HMR). Adjusting the molecule count and box size don't change the parametrization duration. Changing the charge assignment to something other than AM1BCC would make it faster as Jeff noted. |
Describe the bug
I am trying to create gromacs toppologies of lipid bilayers. However, using the function Interchange.from_smirnoff() fails when trying to make a topology for popc. This fails whether using a mol2 file, SMILES or IUPAC name as the input structure.
This process works correctly using cholesterol.
Error is: Warning: popc: Failed due to unspecified stereochemistry
I suspect the problem might be something to do with the phosphate group
To Reproduce
Run the attached script interchange2.ipynb
I have attached popc.mol2 and cholesterol.mol2
Output
Warning: popc: Failed due to unspecified stereochemistry
Computing environment (please complete the following information):
Linux opensuse 15.5
conda list
packages in environment at /vcp1/people/david/bin/miniforge3/envs/openff:
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pytables 3.9.2 py311ha8f287f_3 conda-forge
pytest 8.3.2 pyhd8ed1ab_0 conda-forge
python 3.11.9 hb806964_0_cpython conda-forge
python-constraint 1.4.0 py_0 conda-forge
python-dateutil 2.9.0 pyhd8ed1ab_0 conda-forge
python-fastjsonschema 2.20.0 pyhd8ed1ab_0 conda-forge
python-flatbuffers 24.3.25 pyh59ac667_0 conda-forge
python-json-logger 2.0.7 pyhd8ed1ab_0 conda-forge
python-tzdata 2024.1 pyhd8ed1ab_0 conda-forge
python_abi 3.11 4_cp311 conda-forge
pytorch 2.3.1 cpu_generic_py311h8ca351a_0 conda-forge
pytorch-lightning 2.3.3 pyhd8ed1ab_0 conda-forge
pytraj 2.0.6 pypi_0 pypi
pytz 2024.1 pyhd8ed1ab_0 conda-forge
pyyaml 6.0.1 py311h459d7ec_1 conda-forge
pyzmq 26.0.3 py311h08a0b41_0 conda-forge
qcelemental 0.28.0 pyhd8ed1ab_0 conda-forge
qcengine 0.30.0 pyhd8ed1ab_0 conda-forge
qcportal 0.56 pyhd8ed1ab_0 conda-forge
qhull 2020.2 h434a139_5 conda-forge
rdkit 2024.03.5 py311h845bd92_2 conda-forge
re2 2023.09.01 h7f4b329_2 conda-forge
readline 8.2 h8228510_1 conda-forge
referencing 0.35.1 pyhd8ed1ab_0 conda-forge
reportlab 4.2.2 py311h331c9d8_0 conda-forge
requests 2.32.3 pyhd8ed1ab_0 conda-forge
rfc3339-validator 0.1.4 pyhd8ed1ab_0 conda-forge
rfc3986-validator 0.1.1 pyh9f0ad1d_0 conda-forge
rich 13.7.1 pyhd8ed1ab_0 conda-forge
rlpycairo 0.2.0 pyhd8ed1ab_0 conda-forge
rpds-py 0.19.1 py311hb3a8bbb_0 conda-forge
s2n 1.4.17 he19d79f_0 conda-forge
sander 22.0 pypi_0 pypi
scipy 1.14.0 py311h517d4fd_1 conda-forge
send2trash 1.8.3 pyh0d859eb_0 conda-forge
setuptools 71.0.4 pyhd8ed1ab_0 conda-forge
six 1.16.0 pyh6c4a22f_0 conda-forge
sleef 3.6.1 h3400bea_1 conda-forge
smirnoff99frosst 1.1.0 pyh44b312d_0 conda-forge
snappy 1.2.1 ha2e4443_0 conda-forge
sniffio 1.3.1 pyhd8ed1ab_0 conda-forge
sortedcontainers 2.4.0 pyhd8ed1ab_0 conda-forge
soupsieve 2.5 pyhd8ed1ab_1 conda-forge
sqlalchemy 2.0.31 py311h331c9d8_0 conda-forge
sqlite 3.46.0 h6d4b2fc_0 conda-forge
stack_data 0.6.2 pyhd8ed1ab_0 conda-forge
sympy 1.13.0 pypyh2585a3b_103 conda-forge
tabulate 0.9.0 pyhd8ed1ab_1 conda-forge
tblib 3.0.0 pyhd8ed1ab_0 conda-forge
tensorboard 2.17.0 pyhd8ed1ab_0 conda-forge
tensorboard-data-server 0.7.0 py311h63ff55d_1 conda-forge
tensorflow 2.17.0 cuda120py311h51447cc_0 conda-forge
tensorflow-base 2.17.0 cuda120py311h013dac2_0 conda-forge
tensorflow-estimator 2.17.0 cuda120py311h0c188d0_0 conda-forge
termcolor 2.4.0 pyhd8ed1ab_0 conda-forge
terminado 0.18.1 pyh0d859eb_0 conda-forge
tinycss2 1.3.0 pyhd8ed1ab_0 conda-forge
tinydb 4.8.0 pyhd8ed1ab_0 conda-forge
tk 8.6.13 noxft_h4845f30_101 conda-forge
tomli 2.0.1 pyhd8ed1ab_0 conda-forge
toolz 0.12.1 pyhd8ed1ab_0 conda-forge
torchdata 0.7.1 py311hf3aaf7b_6 conda-forge
torchmetrics 1.4.0.post0 pyhd8ed1ab_0 conda-forge
tornado 6.4.1 py311h331c9d8_0 conda-forge
tqdm 4.66.4 pyhd8ed1ab_0 conda-forge
traitlets 5.14.3 pyhd8ed1ab_0 conda-forge
types-python-dateutil 2.9.0.20240316 pyhd8ed1ab_0 conda-forge
typing-extensions 4.12.2 hd8ed1ab_0 conda-forge
typing_extensions 4.12.2 pyha770c72_0 conda-forge
typing_utils 0.1.0 pyhd8ed1ab_0 conda-forge
tzdata 2024a h0c530f3_0 conda-forge
uri-template 1.3.0 pyhd8ed1ab_0 conda-forge
urllib3 2.2.2 pyhd8ed1ab_1 conda-forge
validators 0.33.0 pyhd8ed1ab_0 conda-forge
wcwidth 0.2.13 pyhd8ed1ab_0 conda-forge
webcolors 24.6.0 pyhd8ed1ab_0 conda-forge
webencodings 0.5.1 pyhd8ed1ab_2 conda-forge
websocket-client 1.8.0 pyhd8ed1ab_0 conda-forge
werkzeug 3.0.3 pyhd8ed1ab_0 conda-forge
wheel 0.43.0 pyhd8ed1ab_1 conda-forge
widgetsnbextension 4.0.11 pyhd8ed1ab_0 conda-forge
wrapt 1.16.0 py311h459d7ec_0 conda-forge
xmltodict 0.13.0 pyhd8ed1ab_0 conda-forge
xorg-kbproto 1.0.7 h7f98852_1002 conda-forge
xorg-libice 1.1.1 hd590300_0 conda-forge
xorg-libsm 1.2.4 h7391055_0 conda-forge
xorg-libx11 1.8.9 hb711507_1 conda-forge
xorg-libxau 1.0.11 hd590300_0 conda-forge
xorg-libxdmcp 1.1.3 h7f98852_0 conda-forge
xorg-libxext 1.3.4 h0b41bf4_2 conda-forge
xorg-libxrender 0.9.11 hd590300_0 conda-forge
xorg-libxt 1.3.0 hd590300_1 conda-forge
xorg-renderproto 0.11.1 h7f98852_1002 conda-forge
xorg-xextproto 7.3.0 h0b41bf4_1003 conda-forge
xorg-xproto 7.0.31 h7f98852_1007 conda-forge
xz 5.2.6 h166bdaf_0 conda-forge
yaml 0.2.5 h7f98852_2 conda-forge
zeromq 4.3.5 h75354e8_4 conda-forge
zict 3.0.0 pyhd8ed1ab_0 conda-forge
zipp 3.19.2 pyhd8ed1ab_0 conda-forge
zlib 1.3.1 h4ab18f5_1 conda-forge
zlib-ng 2.2.1 he02047a_0 conda-forge
zstandard 0.18.0 py311hd4cff14_1 conda-forge
zstd 1.5.6 ha6fb4c9_0 conda-forge
Additional context
Remove .txt to use...
cholesterol.mol2.txt
popc.mol2.txt
interchange2.ipynb.txt
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