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Partial charge methods fail in clean environment #1911

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slochower opened this issue Jul 26, 2024 · 24 comments
Open

Partial charge methods fail in clean environment #1911

slochower opened this issue Jul 26, 2024 · 24 comments

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@slochower
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Describe the bug
In a new, clean OpenFF environment on an x86-64 Mac (14.4.1), partial charge methods fail. This is either from antechamber or possibly sqm and probably related to issues that I've seen @mattwthompson talking about with the Amber folks.

For this test script:

from openff.toolkit.utils import get_data_file_path
from openff.toolkit.topology import Molecule, Topology
from openff.toolkit.typing.engines.smirnoff import ForceField

# This prepared PDB file from the toolkit's test suite is a box of solvents
pdb_path = get_data_file_path(
    "systems/packmol_boxes/propane_methane_butanol_0.2_0.3_0.5.pdb"
)
molecules = [Molecule.from_smiles(smi) for smi in ["CCC", "C", "CCCCO"]]

# The OpenFF Toolkit can directly read PDB files!
topology = Topology.from_pdb(pdb_path, unique_molecules=molecules)

# Construct the Interchange with the OpenFF "Sage" force field
interchange = ForceField("openff-2.0.0.offxml").create_interchange(topology)

I'm seeing:

 ToolkitWrapper around The RDKit version 2024.03.5 <class 'openff.toolkit.utils.exceptions.ChargeMethodUnavailableError'> : partial_charge_method 'am1bcc' is not available from RDKitToolkitWrapper. Available charge methods are {'mmff94': {}, 'gasteiger': {}}
 ToolkitWrapper around AmberTools version 23.6 <class 'subprocess.CalledProcessError'> : Command '['antechamber', '-i', 'molecule.sdf', '-fi', 'sdf', '-o', 'charged.mol2', '-fo', 'mol2', '-pf', 'yes', '-dr', 'n', '-c', 'bcc', '-nc', '0.0']' returned non-zero exit status 1.
 ToolkitWrapper around Built-in Toolkit version None <class 'openff.toolkit.utils.exceptions.ChargeMethodUnavailableError'> : Partial charge method "am1bcc"" is not supported by the Built-in toolkit. Available charge methods are {'zeros': {'rec_confs': 0, 'min_confs': 0, 'max_confs': 0}, 'formal_charge': {'rec_confs': 0, 'min_confs': 0, 'max_confs': 0}}

The test cases also fail.

To Reproduce

  1. conda create --name openff-clean
  2. mamba install -c conda-forge openff-toolkit
  3. Save snippet as tmp.py
  4. python tmp.py

Output

/Users/slochowe/miniforge3/envs/openff-clean/bin/wrapped_progs/antechamber: Fatal Error!
Cannot properly run "/Users/slochowe/miniforge3/envs/openff-clean/bin/sqm -O -i sqm.in -o sqm.out".
Traceback (most recent call last):
  File "/Users/slochowe/tmp/tmp.py", line 15, in <module>
    interchange = ForceField("openff-2.0.0.offxml").create_interchange(topology)
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/Users/slochowe/miniforge3/envs/openff-clean/lib/python3.12/site-packages/openff/utilities/utilities.py", line 80, in wrapper
    return function(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/Users/slochowe/miniforge3/envs/openff-clean/lib/python3.12/site-packages/openff/toolkit/typing/engines/smirnoff/forcefield.py", line 1252, in create_interchange
    return Interchange.from_smirnoff(
           ^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/Users/slochowe/miniforge3/envs/openff-clean/lib/python3.12/site-packages/openff/interchange/components/interchange.py", line 268, in from_smirnoff
    return _create_interchange(
           ^^^^^^^^^^^^^^^^^^^^
  File "/Users/slochowe/miniforge3/envs/openff-clean/lib/python3.12/site-packages/openff/interchange/smirnoff/_create.py", line 112, in _create_interchange
    _electrostatics(
  File "/Users/slochowe/miniforge3/envs/openff-clean/lib/python3.12/site-packages/openff/interchange/smirnoff/_create.py", line 267, in _electrostatics
    "Electrostatics": SMIRNOFFElectrostaticsCollection.create(
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/Users/slochowe/miniforge3/envs/openff-clean/lib/python3.12/site-packages/openff/interchange/smirnoff/_nonbonded.py", line 449, in create
    handler.store_matches(
  File "/Users/slochowe/miniforge3/envs/openff-clean/lib/python3.12/site-packages/openff/interchange/smirnoff/_nonbonded.py", line 860, in store_matches
    matches, potentials = self._find_reference_matches(
                          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/Users/slochowe/miniforge3/envs/openff-clean/lib/python3.12/site-packages/openff/interchange/smirnoff/_nonbonded.py", line 718, in _find_reference_matches
    ) = cls._find_charge_model_matches(
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/Users/slochowe/miniforge3/envs/openff-clean/lib/python3.12/site-packages/openff/interchange/smirnoff/_nonbonded.py", line 654, in _find_charge_model_matches
    partial_charges = cls._compute_partial_charges(
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/Users/slochowe/miniforge3/envs/openff-clean/lib/python3.12/site-packages/openff/interchange/smirnoff/_nonbonded.py", line 469, in _compute_partial_charges
    molecule.assign_partial_charges(method)
  File "/Users/slochowe/miniforge3/envs/openff-clean/lib/python3.12/site-packages/openff/toolkit/topology/molecule.py", line 2677, in assign_partial_charges
    toolkit_registry.call(
  File "/Users/slochowe/miniforge3/envs/openff-clean/lib/python3.12/site-packages/openff/toolkit/utils/toolkit_registry.py", line 280, in call
    raise ValueError(msg)
ValueError: No registered toolkits can provide the capability "assign_partial_charges" for args "()" and kwargs "{'molecule': Molecule with name '' and SMILES '[H][O][C]([H])([H])[C]([H])([H])[C]([H])([H])[C]([H])([H])[H]', 'partial_charge_method': 'am1bcc', 'use_conformers': None, 'strict_n_conformers': False, 'normalize_partial_charges': True, '_cls': <class 'openff.toolkit.topology.molecule.Molecule'>}"
Available toolkits are: [ToolkitWrapper around The RDKit version 2024.03.5, ToolkitWrapper around AmberTools version 23.6, ToolkitWrapper around Built-in Toolkit version None]
 ToolkitWrapper around The RDKit version 2024.03.5 <class 'openff.toolkit.utils.exceptions.ChargeMethodUnavailableError'> : partial_charge_method 'am1bcc' is not available from RDKitToolkitWrapper. Available charge methods are {'mmff94': {}, 'gasteiger': {}}
 ToolkitWrapper around AmberTools version 23.6 <class 'subprocess.CalledProcessError'> : Command '['antechamber', '-i', 'molecule.sdf', '-fi', 'sdf', '-o', 'charged.mol2', '-fo', 'mol2', '-pf', 'yes', '-dr', 'n', '-c', 'bcc', '-nc', '0.0']' returned non-zero exit status 1.
 ToolkitWrapper around Built-in Toolkit version None <class 'openff.toolkit.utils.exceptions.ChargeMethodUnavailableError'> : Partial charge method "am1bcc"" is not supported by the Built-in toolkit. Available charge methods are {'zeros': {'rec_confs': 0, 'min_confs': 0, 'max_confs': 0}, 'formal_charge': {'rec_confs': 0, 'min_confs': 0, 'max_confs': 0}}
`conda list`
❯ conda list
# packages in environment at /Users/slochowe/miniforge3/envs/openff-clean:
#
# Name                    Version                   Build  Channel
ambertools                23.6            cuda_None_nompi_py312hc98840c_105    conda-forge
amberutils                21.0                     pypi_0    pypi
annotated-types           0.7.0              pyhd8ed1ab_0    conda-forge
anyio                     4.4.0              pyhd8ed1ab_0    conda-forge
appnope                   0.1.4              pyhd8ed1ab_0    conda-forge
argon2-cffi               23.1.0             pyhd8ed1ab_0    conda-forge
argon2-cffi-bindings      21.2.0          py312h104f124_4    conda-forge
arpack                    3.9.1           nompi_hf81eadf_101    conda-forge
arrow                     1.3.0              pyhd8ed1ab_0    conda-forge
asttokens                 2.4.1              pyhd8ed1ab_0    conda-forge
astunparse                1.6.3              pyhd8ed1ab_0    conda-forge
async-lru                 2.0.4              pyhd8ed1ab_0    conda-forge
attrs                     23.2.0             pyh71513ae_0    conda-forge
babel                     2.14.0             pyhd8ed1ab_0    conda-forge
beautifulsoup4            4.12.3             pyha770c72_0    conda-forge
bleach                    6.1.0              pyhd8ed1ab_0    conda-forge
blosc                     1.21.6               h7d75f6d_0    conda-forge
brotli                    1.1.0                h0dc2134_1    conda-forge
brotli-bin                1.1.0                h0dc2134_1    conda-forge
brotli-python             1.1.0           py312heafc425_1    conda-forge
bson                      0.5.9                      py_0    conda-forge
bzip2                     1.0.8                hfdf4475_7    conda-forge
c-ares                    1.32.3               h51dda26_0    conda-forge
c-blosc2                  2.15.0               hb9356d3_1    conda-forge
ca-certificates           2024.7.4             h8857fd0_0    conda-forge
cached-property           1.5.2                hd8ed1ab_1    conda-forge
cached_property           1.5.2              pyha770c72_1    conda-forge
cachetools                5.4.0              pyhd8ed1ab_0    conda-forge
cairo                     1.18.0               h37bd5c4_3    conda-forge
certifi                   2024.7.4           pyhd8ed1ab_0    conda-forge
cffi                      1.16.0          py312h38bf5a0_0    conda-forge
chardet                   5.2.0           py312hb401068_1    conda-forge
charset-normalizer        3.3.2              pyhd8ed1ab_0    conda-forge
colorama                  0.4.6              pyhd8ed1ab_0    conda-forge
comm                      0.2.2              pyhd8ed1ab_0    conda-forge
contourpy                 1.2.1           py312h9230928_0    conda-forge
cycler                    0.12.1             pyhd8ed1ab_0    conda-forge
debugpy                   1.8.2           py312h28f332c_0    conda-forge
decorator                 5.1.1              pyhd8ed1ab_0    conda-forge
defusedxml                0.7.1              pyhd8ed1ab_0    conda-forge
edgembar                  0.2                      pypi_0    pypi
entrypoints               0.4                pyhd8ed1ab_0    conda-forge
exceptiongroup            1.2.2              pyhd8ed1ab_0    conda-forge
executing                 2.0.1              pyhd8ed1ab_0    conda-forge
expat                     2.6.2                h73e2aa4_0    conda-forge
fftw                      3.3.10          nompi_h292e606_110    conda-forge
font-ttf-dejavu-sans-mono 2.37                 hab24e00_0    conda-forge
font-ttf-inconsolata      3.000                h77eed37_0    conda-forge
font-ttf-source-code-pro  2.038                h77eed37_0    conda-forge
font-ttf-ubuntu           0.83                 h77eed37_2    conda-forge
fontconfig                2.14.2               h5bb23bf_0    conda-forge
fonts-conda-ecosystem     1                             0    conda-forge
fonts-conda-forge         1                             0    conda-forge
fonttools                 4.53.1          py312hbd25219_0    conda-forge
fqdn                      1.5.1              pyhd8ed1ab_0    conda-forge
freetype                  2.12.1               h60636b9_2    conda-forge
freetype-py               2.3.0              pyhd8ed1ab_0    conda-forge
greenlet                  3.0.3           py312hede676d_0    conda-forge
h11                       0.14.0             pyhd8ed1ab_0    conda-forge
h2                        4.1.0              pyhd8ed1ab_0    conda-forge
hdf4                      4.2.15               h8138101_7    conda-forge
hdf5                      1.14.3          nompi_h687a608_105    conda-forge
hpack                     4.0.0              pyh9f0ad1d_0    conda-forge
httpcore                  1.0.5              pyhd8ed1ab_0    conda-forge
httpx                     0.27.0             pyhd8ed1ab_0    conda-forge
hyperframe                6.0.1              pyhd8ed1ab_0    conda-forge
icu                       75.1                 h120a0e1_0    conda-forge
idna                      3.7                pyhd8ed1ab_0    conda-forge
importlib-metadata        8.2.0              pyha770c72_0    conda-forge
importlib_metadata        8.2.0                hd8ed1ab_0    conda-forge
importlib_resources       6.4.0              pyhd8ed1ab_0    conda-forge
ipykernel                 6.29.5             pyh57ce528_0    conda-forge
ipython                   8.26.0             pyh707e725_0    conda-forge
ipywidgets                8.1.3              pyhd8ed1ab_0    conda-forge
isoduration               20.11.0            pyhd8ed1ab_0    conda-forge
jedi                      0.19.1             pyhd8ed1ab_0    conda-forge
jinja2                    3.1.4              pyhd8ed1ab_0    conda-forge
joblib                    1.4.2              pyhd8ed1ab_0    conda-forge
json5                     0.9.25             pyhd8ed1ab_0    conda-forge
jsonpointer               3.0.0           py312hb401068_0    conda-forge
jsonschema                4.23.0             pyhd8ed1ab_0    conda-forge
jsonschema-specifications 2023.12.1          pyhd8ed1ab_0    conda-forge
jsonschema-with-format-nongpl 4.23.0               hd8ed1ab_0    conda-forge
jupyter-lsp               2.2.5              pyhd8ed1ab_0    conda-forge
jupyter_client            8.6.2              pyhd8ed1ab_0    conda-forge
jupyter_core              5.7.2           py312hb401068_0    conda-forge
jupyter_events            0.10.0             pyhd8ed1ab_0    conda-forge
jupyter_server            2.14.2             pyhd8ed1ab_0    conda-forge
jupyter_server_terminals  0.5.3              pyhd8ed1ab_0    conda-forge
jupyterlab                4.2.4              pyhd8ed1ab_0    conda-forge
jupyterlab_pygments       0.3.0              pyhd8ed1ab_1    conda-forge
jupyterlab_server         2.27.3             pyhd8ed1ab_0    conda-forge
jupyterlab_widgets        3.0.11             pyhd8ed1ab_0    conda-forge
khronos-opencl-icd-loader 2023.04.17           h37ebe6b_1    conda-forge
kiwisolver                1.4.5           py312h49ebfd2_1    conda-forge
krb5                      1.21.3               h37d8d59_0    conda-forge
lcms2                     2.16                 ha2f27b4_0    conda-forge
lerc                      4.0.0                hb486fe8_0    conda-forge
libaec                    1.1.3                h73e2aa4_0    conda-forge
libblas                   3.9.0           22_osx64_openblas    conda-forge
libboost                  1.84.0               hcca3243_4    conda-forge
libboost-python           1.84.0          py312h44e70fa_4    conda-forge
libbrotlicommon           1.1.0                h0dc2134_1    conda-forge
libbrotlidec              1.1.0                h0dc2134_1    conda-forge
libbrotlienc              1.1.0                h0dc2134_1    conda-forge
libcblas                  3.9.0           22_osx64_openblas    conda-forge
libcurl                   8.9.0                hfcf2730_0    conda-forge
libcxx                    18.1.8               hef8daea_0    conda-forge
libdeflate                1.20                 h49d49c5_0    conda-forge
libedit                   3.1.20191231         h0678c8f_2    conda-forge
libev                     4.33                 h10d778d_2    conda-forge
libexpat                  2.6.2                h73e2aa4_0    conda-forge
libffi                    3.4.2                h0d85af4_5    conda-forge
libgfortran               5.0.0           13_2_0_h97931a8_3    conda-forge
libgfortran5              13.2.0               h2873a65_3    conda-forge
libglib                   2.80.3               h736d271_1    conda-forge
libiconv                  1.17                 hd75f5a5_2    conda-forge
libintl                   0.22.5               h5ff76d1_2    conda-forge
libjpeg-turbo             3.0.0                h0dc2134_1    conda-forge
liblapack                 3.9.0           22_osx64_openblas    conda-forge
libnetcdf                 4.9.2           nompi_h7334405_114    conda-forge
libnghttp2                1.58.0               h64cf6d3_1    conda-forge
libopenblas               0.3.27          openmp_h8869122_1    conda-forge
libpng                    1.6.43               h92b6c6a_0    conda-forge
libpq                     16.3                 h4501773_0    conda-forge
librdkit                  2024.03.5            hbc19afa_1    conda-forge
libsodium                 1.0.18               hbcb3906_1    conda-forge
libsqlite                 3.46.0               h1b8f9f3_0    conda-forge
libssh2                   1.11.0               hd019ec5_0    conda-forge
libtiff                   4.6.0                h129831d_3    conda-forge
libwebp-base              1.4.0                h10d778d_0    conda-forge
libxcb                    1.16                 h0dc2134_0    conda-forge
libxml2                   2.12.7               heaf3512_4    conda-forge
libzip                    1.10.1               hc158999_3    conda-forge
libzlib                   1.3.1                h87427d6_1    conda-forge
llvm-openmp               18.1.8               h15ab845_0    conda-forge
lz4-c                     1.9.4                hf0c8a7f_0    conda-forge
markupsafe                2.1.5           py312h41838bb_0    conda-forge
matplotlib-base           3.9.1           py312h0d5aeb7_0    conda-forge
matplotlib-inline         0.1.7              pyhd8ed1ab_0    conda-forge
mda-xdrlib                0.2.0              pyhd8ed1ab_0    conda-forge
mdtraj                    1.10.0          py312h00f8f5a_0    conda-forge
mistune                   3.0.2              pyhd8ed1ab_0    conda-forge
mmpbsa-py                 16.0                     pypi_0    pypi
munkres                   1.1.4              pyh9f0ad1d_0    conda-forge
nbclient                  0.10.0             pyhd8ed1ab_0    conda-forge
nbconvert-core            7.16.4             pyhd8ed1ab_1    conda-forge
nbformat                  5.10.4             pyhd8ed1ab_0    conda-forge
ncurses                   6.5                  h5846eda_0    conda-forge
nest-asyncio              1.6.0              pyhd8ed1ab_0    conda-forge
netcdf-fortran            4.6.1           nompi_h3a6982b_104    conda-forge
networkx                  3.3                pyhd8ed1ab_1    conda-forge
notebook                  7.2.1              pyhd8ed1ab_0    conda-forge
notebook-shim             0.2.4              pyhd8ed1ab_0    conda-forge
numexpr                   2.10.0          py312h1171441_0    conda-forge
numpy                     1.26.4          py312he3a82b2_0    conda-forge
ocl_icd_wrapper_apple     1.0.0                hbcb3906_0    conda-forge
openff-amber-ff-ports     0.0.4              pyhca7485f_0    conda-forge
openff-forcefields        2024.07.0          pyhff2d567_0    conda-forge
openff-interchange        0.3.28             pyhd8ed1ab_0    conda-forge
openff-interchange-base   0.3.28             pyhd8ed1ab_0    conda-forge
openff-models             0.1.2              pyhca7485f_0    conda-forge
openff-toolkit            0.16.2             pyhd8ed1ab_0    conda-forge
openff-toolkit-base       0.16.2             pyhd8ed1ab_0    conda-forge
openff-units              0.2.2              pyhca7485f_0    conda-forge
openff-utilities          0.1.12             pyhd8ed1ab_0    conda-forge
openjpeg                  2.5.2                h7310d3a_0    conda-forge
openmm                    8.1.2           py312hacce00b_2_khronos    conda-forge
openssl                   3.3.1                h87427d6_2    conda-forge
overrides                 7.7.0              pyhd8ed1ab_0    conda-forge
packaging                 24.1               pyhd8ed1ab_0    conda-forge
packmol-memgen            2024.2.9                 pypi_0    pypi
pandas                    2.2.2           py312h1171441_1    conda-forge
pandocfilters             1.5.0              pyhd8ed1ab_0    conda-forge
panedr                    0.8.0              pyhd8ed1ab_0    conda-forge
parmed                    4.2.2           py312h444b7ae_1    conda-forge
parso                     0.8.4              pyhd8ed1ab_0    conda-forge
pcre2                     10.44                h7634a1b_0    conda-forge
pdb4amber                 22.0                     pypi_0    pypi
perl                      5.32.1          7_h10d778d_perl5    conda-forge
pexpect                   4.9.0              pyhd8ed1ab_0    conda-forge
pickleshare               0.7.5                   py_1003    conda-forge
pillow                    10.4.0          py312hbd70edc_0    conda-forge
pint                      0.23               pyhd8ed1ab_1    conda-forge
pip                       24.0               pyhd8ed1ab_0    conda-forge
pixman                    0.43.4               h73e2aa4_0    conda-forge
pkgutil-resolve-name      1.3.10             pyhd8ed1ab_1    conda-forge
platformdirs              4.2.2              pyhd8ed1ab_0    conda-forge
prometheus_client         0.20.0             pyhd8ed1ab_0    conda-forge
prompt-toolkit            3.0.47             pyha770c72_0    conda-forge
psutil                    6.0.0           py312hbd25219_0    conda-forge
pthread-stubs             0.4               hc929b4f_1001    conda-forge
ptyprocess                0.7.0              pyhd3deb0d_0    conda-forge
pure_eval                 0.2.3              pyhd8ed1ab_0    conda-forge
py-cpuinfo                9.0.0              pyhd8ed1ab_0    conda-forge
pycairo                   1.26.1          py312h4a9e434_0    conda-forge
pycparser                 2.22               pyhd8ed1ab_0    conda-forge
pydantic                  2.8.2              pyhd8ed1ab_0    conda-forge
pydantic-core             2.20.1          py312ha47ea1c_0    conda-forge
pyedr                     0.8.0              pyhd8ed1ab_0    conda-forge
pygments                  2.18.0             pyhd8ed1ab_0    conda-forge
pymsmt                    22.0                     pypi_0    pypi
pyobjc-core               10.3.1          py312he77c50b_0    conda-forge
pyobjc-framework-cocoa    10.3.1          py312he77c50b_0    conda-forge
pyparsing                 3.1.2              pyhd8ed1ab_0    conda-forge
pysocks                   1.7.1              pyha2e5f31_6    conda-forge
pytables                  3.9.2           py312hd51072b_3    conda-forge
python                    3.12.4          h37a9e06_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-json-logger        2.0.7              pyhd8ed1ab_0    conda-forge
python-tzdata             2024.1             pyhd8ed1ab_0    conda-forge
python_abi                3.12                    4_cp312    conda-forge
pytraj                    2.0.6                    pypi_0    pypi
pytz                      2024.1             pyhd8ed1ab_0    conda-forge
pyyaml                    6.0.1           py312h104f124_1    conda-forge
pyzmq                     26.0.3          py312ha04878a_0    conda-forge
qhull                     2020.2               h3c5361c_5    conda-forge
rdkit                     2024.03.5       py312hcfd6466_1    conda-forge
readline                  8.2                  h9e318b2_1    conda-forge
referencing               0.35.1             pyhd8ed1ab_0    conda-forge
reportlab                 4.2.2           py312hbd25219_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
rlpycairo                 0.2.0              pyhd8ed1ab_0    conda-forge
rpds-py                   0.19.1          py312ha47ea1c_0    conda-forge
sander                    22.0                     pypi_0    pypi
scipy                     1.14.0          py312hb9702fa_1    conda-forge
send2trash                1.8.3              pyh31c8845_0    conda-forge
setuptools                71.0.4             pyhd8ed1ab_0    conda-forge
six                       1.16.0             pyh6c4a22f_0    conda-forge
smirnoff99frosst          1.1.0              pyh44b312d_0    conda-forge
snappy                    1.2.1                he1e6707_0    conda-forge
sniffio                   1.3.1              pyhd8ed1ab_0    conda-forge
soupsieve                 2.5                pyhd8ed1ab_1    conda-forge
sqlalchemy                2.0.31          py312hbd25219_0    conda-forge
stack_data                0.6.2              pyhd8ed1ab_0    conda-forge
terminado                 0.18.1             pyh31c8845_0    conda-forge
tinycss2                  1.3.0              pyhd8ed1ab_0    conda-forge
tk                        8.6.13               h1abcd95_1    conda-forge
tomli                     2.0.1              pyhd8ed1ab_0    conda-forge
tornado                   6.4.1           py312hbd25219_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_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
wheel                     0.43.0             pyhd8ed1ab_1    conda-forge
widgetsnbextension        4.0.11             pyhd8ed1ab_0    conda-forge
xmltodict                 0.13.0             pyhd8ed1ab_0    conda-forge
xorg-kbproto              1.0.7             h35c211d_1002    conda-forge
xorg-libice               1.1.1                h0dc2134_0    conda-forge
xorg-libsm                1.2.4                h0dc2134_0    conda-forge
xorg-libx11               1.8.9                h7022169_1    conda-forge
xorg-libxau               1.0.11               h0dc2134_0    conda-forge
xorg-libxdmcp             1.1.3                h35c211d_0    conda-forge
xorg-libxext              1.3.4                hb7f2c08_2    conda-forge
xorg-libxt                1.3.0                h0dc2134_1    conda-forge
xorg-xextproto            7.3.0             hb7f2c08_1003    conda-forge
xorg-xproto               7.0.31            h35c211d_1007    conda-forge
xz                        5.2.6                h775f41a_0    conda-forge
yaml                      0.2.5                h0d85af4_2    conda-forge
zeromq                    4.3.5                hde137ed_4    conda-forge
zipp                      3.19.2             pyhd8ed1ab_0    conda-forge
zlib                      1.3.1                h87427d6_1    conda-forge
zlib-ng                   2.2.1                hf036a51_0    conda-forge
zstd                      1.5.6                h915ae27_0    conda-forge

CC @mikemhenry

@j-wags
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j-wags commented Jul 26, 2024

Thanks for the detailed writeup. I'm unable to reproduce on an ARM mac, but I'm charging my old intel mac to try it there.

@j-wags
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j-wags commented Jul 26, 2024

Some of our CI should be testing on intel macs, and I'm not seeing any issues there, though

  • They're using macos 12 instead of 14.
  • I can't recall if these tests parameterize that particular solvent box
  • there may be some difference due to the GHA host being virtualized

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j-wags commented Jul 26, 2024

Unable to reproduce with intel mac on OSX 13.2.1, updating to 14 and will report back.

@slochower
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slochower commented Jul 26, 2024

Thanks! And on my end, this is reproducible (not related to this specific molecule/solvent box). Hit the bug trying to use OpenFE stuff (on real ligands) with @mikemhenry and we initially thought it might be related to RDKit, but it does not seem to be. I'm happy to do additional debugging if you need.

@j-wags
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j-wags commented Jul 26, 2024

Darn, my intel macbook isn't compatible with OSX 14. If you're up to iterate a bit, could you let me know if this reproduces the issue?

from openff.toolkit import Molecule
mol = Molecule.from_smiles('[H][O][C]([H])([H])[C]([H])([H])[C]([H])([H])[C]([H])([H])[H]')
mol.assign_partial_charges("am1bcc")

@j-wags
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j-wags commented Jul 26, 2024

And if that DOES reproduce the issue, could you run

mol.generate_conformers()
mol.to_file('temp.sdf', file_format='sdf')

and in the terminal

antechamber -i molecule.sdf -fi sdf -o charged.mol2 -fo mol2 -pf yes -dr n -c bcc  -nc 0.0

and let me know what happens?

@slochower
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slochower commented Jul 26, 2024

The small snippet does not reproduce the error.

@slochower
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Oh wait!

I ran it once and it completed without error.

I ran it a second time and it did reproduce the error. Fun.

~/tmp is 📦 v0.1.0 via 🐍 v3.12.4 via 🅒 openff-clean took 10s
❯ python tmp5.py
(openff-clean)
~/tmp is 📦 v0.1.0 via 🐍 v3.12.4 via 🅒 openff-clean took 27s
❯ python tmp5.py
/Users/slochowe/miniforge3/envs/openff-clean/bin/wrapped_progs/antechamber: Fatal Error!
Cannot properly run "/Users/slochowe/miniforge3/envs/openff-clean/bin/sqm -O -i sqm.in -o sqm.out".
Traceback (most recent call last):
  File "/Users/slochowe/tmp/tmp5.py", line 3, in <module>
    mol.assign_partial_charges("am1bcc")
  File "/Users/slochowe/miniforge3/envs/openff-clean/lib/python3.12/site-packages/openff/toolkit/topology/molecule.py", line 2677, in assign_partial_charges
    toolkit_registry.call(
  File "/Users/slochowe/miniforge3/envs/openff-clean/lib/python3.12/site-packages/openff/toolkit/utils/toolkit_registry.py", line 280, in call
    raise ValueError(msg)
ValueError: No registered toolkits can provide the capability "assign_partial_charges" for args "()" and kwargs "{'molecule': Molecule with name '' and SMILES '[H][O][C]([H])([H])[C]([H])([H])[C]([H])([H])[C]([H])([H])[H]', 'partial_charge_method': 'am1bcc', 'use_conformers': None, 'strict_n_conformers': False, 'normalize_partial_charges': True, '_cls': <class 'openff.toolkit.topology.molecule.Molecule'>}"
Available toolkits are: [ToolkitWrapper around The RDKit version 2024.03.5, ToolkitWrapper around AmberTools version 23.6, ToolkitWrapper around Built-in Toolkit version None]
 ToolkitWrapper around The RDKit version 2024.03.5 <class 'openff.toolkit.utils.exceptions.ChargeMethodUnavailableError'> : partial_charge_method 'am1bcc' is not available from RDKitToolkitWrapper. Available charge methods are {'mmff94': {}, 'gasteiger': {}}
 ToolkitWrapper around AmberTools version 23.6 <class 'subprocess.CalledProcessError'> : Command '['antechamber', '-i', 'molecule.sdf', '-fi', 'sdf', '-o', 'charged.mol2', '-fo', 'mol2', '-pf', 'yes', '-dr', 'n', '-c', 'bcc', '-nc', '0.0']' returned non-zero exit status 1.
 ToolkitWrapper around Built-in Toolkit version None <class 'openff.toolkit.utils.exceptions.ChargeMethodUnavailableError'> : Partial charge method "am1bcc"" is not supported by the Built-in toolkit. Available charge methods are {'zeros': {'rec_confs': 0, 'min_confs': 0, 'max_confs': 0}, 'formal_charge': {'rec_confs': 0, 'min_confs': 0, 'max_confs': 0}}

@mikemhenry
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🫠

@mikemhenry
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mikemhenry commented Jul 26, 2024

@slochower can you try this? for i in (seq 10); python tmp5.py; end and lets see how often this happens... (assuming you are using fish shell)

@slochower
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slochower commented Jul 26, 2024

Looks like 5/10. Perfect.

I made a slight modification for i in (seq 10); python tmp5.py && echo "Pass"; end and counted "Pass" five times.

Here's another version:

↪ for i in (seq 10); python tmp5.py &> /dev/null && echo "Pass $i"; end
Pass 5
Pass 7
Pass 8

@slochower
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slochower commented Jul 26, 2024

Okay, so it's Ambertools that is leading to the mess.

↪ for i in (seq 10); antechamber -i temp.sdf -fi sdf -o charged.mol2 -fo mol2 -pf yes -dr n -c bcc -nc 0.0 &> /dev/null && echo "Pass $i"; end
Pass 2
Pass 4
Pass 5
Pass 8
Pass 10

WHen it fails, it's linked to sqm.

And this is what happens when sqm fails.

❯ cat sqm.in
Run semi-empirical minimization
 &qmmm
    qm_theory='AM1', grms_tol=0.0005,
 scfconv=1.d-10, ndiis_attempts=700,   qmcharge=0,
 /
❯ cat sqm.out
            --------------------------------------------------------
                             AMBER SQM VERSION 19

                                     By
              Ross C. Walker, Michael F. Crowley, Scott Brozell,
                         Tim Giese, Andreas W. Goetz,
                        Tai-Sung Lee and David A. Case

            --------------------------------------------------------

 QM ATOM VALIDATION: nquant has a value of        0
 SANDER BOMB in subroutine validate_qm_atoms
 nquant illegal
 Need 0 < nquant <= natom

@slochower
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The input file should have the coordinates in it after the / but in cases where it fails, it just ends like above, without coordinates. A correct file would be something like this:

Run semi-empirical minimization
 &qmmm
    qm_theory='AM1', grms_tol=0.0005,
 scfconv=1.d-10, ndiis_attempts=700,   qmcharge=0,
 /
   1    H1        2.5450        1.2970        0.8130
   8    O1        2.5880        0.3750        0.4790
   6    C1        1.3640        0.0320       -0.1430
   1    H2        1.6070       -0.8440       -0.7780
   1    H3        1.0220        0.8280       -0.8300
   6    C2        0.4040       -0.2880        0.9570
   1    H4        0.8200       -1.1770        1.4820
   1    H5        0.3520        0.5510        1.6630
   6    C3       -0.9630       -0.6780        0.4760
   1    H6       -1.6150       -0.8110        1.3650
   1    H7       -1.0030       -1.6010       -0.0910
   6    C4       -1.6300        0.4120       -0.3350
   1    H8       -0.9920        0.7070       -1.1940
   1    H9       -1.9350        1.2690        0.3110
   1   H10       -2.5640       -0.0710       -0.7400

@mikemhenry
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Can you try installing ambertools 22? Hopefully it doesn't cause too much package churn, on my system it looks like this:

   - ambertools=22


  Package              Version  Build                    Channel           Size
─────────────────────────────────────────────────────────────────────────────────
  Install:
─────────────────────────────────────────────────────────────────────────────────

  + boost-cpp           1.78.0  h2c5509c_4               conda-forge     Cached
  + cython              3.0.10  py310hc6cd4ac_0          conda-forge     Cached
  + packmol            20.15.0  hc8b2c43_0               conda-forge      130kB
  + boost               1.78.0  py310hcb52e73_5          conda-forge     Cached

  Remove:
─────────────────────────────────────────────────────────────────────────────────

  - libboost            1.84.0  hba137d9_3               conda-forge     Cached
  - libboost-python     1.84.0  py310he6ccd79_3          conda-forge     Cached

  Downgrade:
─────────────────────────────────────────────────────────────────────────────────

  - arpack               3.9.1  nompi_h77f6705_101       conda-forge     Cached
  + arpack               3.7.0  hdefa2d7_2               conda-forge     Cached
  - ambertools            23.6  nompi_py310hcbc9ba0_103  conda-forge     Cached
  + ambertools            22.5  py310hd182041_0          conda-forge     Cached
  - rdkit            2024.03.3  py310h6f17f40_0          conda-forge     Cached
  + rdkit            2023.03.3  py310h399bcf7_0          conda-forge     Cached

which for our testing purposes isn't too bad, another option would be to keep ambertools 23, but just install an older build, like before mpi support was added for example.

@slochower
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Oof. Couldn't install with the existing 3.12 environment. Stepped back to 3.11, also dependency conflicts. Stepped back to 3.10, also dependency conflicts...

warning  libmamba Added empty dependency for problem type SOLVER_RULE_UPDATE
Could not solve for environment specs
The following packages are incompatible
├─ ambertools 22**  is installable with the potential options
│  ├─ ambertools 22.0 would require
│  │  └─ boost-cpp >=1.74.0,<1.74.1.0a0  with the potential options
│  │     ├─ boost-cpp 1.74.0 would require
│  │     │  └─ icu >=68.1,<69.0a0 , which can be installed;
│  │     ├─ boost-cpp [1.74.0|1.78.0] would require
│  │     │  └─ icu >=70.1,<71.0a0 , which can be installed;
│  │     ├─ boost-cpp 1.74.0 would require
│  │     │  └─ icu >=69.1,<70.0a0 , which can be installed;
│  │     └─ boost-cpp 1.74.0 would require
│  │        └─ icu >=67.1,<68.0a0 , which can be installed;
│  ├─ ambertools 22.0 would require
│  │  └─ python >=3.7,<3.8.0a0 , which can be installed;
│  ├─ ambertools [22.0|22.1|...|22.5] would require
│  │  └─ python >=3.8,<3.9.0a0 , which can be installed;
│  ├─ ambertools [22.0|22.1|...|22.5] would require
│  │  └─ python >=3.9,<3.10.0a0 , which can be installed;
│  └─ ambertools [22.0|22.1|...|22.5] would require
│     └─ boost-cpp >=1.78.0,<1.78.1.0a0  with the potential options
│        ├─ boost-cpp [1.74.0|1.78.0], which can be installed (as previously explained);
│        ├─ boost-cpp 1.78.0 would require
│        │  ├─ icu >=73.2,<74.0a0 , which conflicts with any installable versions previously reported;
│        │  └─ libboost <0 , which can be installed;
│        └─ boost-cpp 1.78.0 would require
│           └─ icu >=72.1,<73.0a0 , which can be installed;
├─ libboost is installable with the potential options
│  ├─ libboost [1.84.0|1.85.0] would require
│  │  └─ icu >=75.1,<76.0a0 , which conflicts with any installable versions previously reported;
│  ├─ libboost 1.84.0 would require
│  │  ├─ boost-cpp 1.84.0* , which conflicts with any installable versions previously reported;
│  │  └─ icu >=73.2,<74.0a0 , which conflicts with any installable versions previously reported;
│  ├─ libboost 1.82.0 would require
│  │  └─ icu >=72.1,<73.0a0 , which can be installed;
│  ├─ libboost 1.82.0 would require
│  │  └─ boost-cpp 1.82.0* , which conflicts with any installable versions previously reported;
│  ├─ libboost 1.83.0 would require
│  │  └─ boost-cpp 1.83.0* , which conflicts with any installable versions previously reported;
│  ├─ libboost 1.85.0 would require
│  │  └─ boost-cpp 1.85.0* , which conflicts with any installable versions previously reported;
│  ├─ libboost [1.65.1|1.67.0|1.71.0|1.73.0] would require
│  │  └─ icu >=58.2,<59.0a0 , which can be installed;
│  └─ libboost 1.82.0 conflicts with any installable versions previously reported;
└─ librdkit is not installable because it requires
   └─ libboost >=1.84.0,<1.85.0a0 , which cannot be installed (as previously explained).

@mikemhenry
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sigh, how about ambertools=23.3

@slochower
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slochower commented Jul 26, 2024

Sadly not. Looks like libboost is the culprit, at least when trying in the original environment.

↪ mamba install ambertools=23.3                                  (openff-clean)

Looking for: ['ambertools=23.3']

conda-forge/osx-64                                          Using cache
conda-forge/noarch                                          Using cache
pkgs/main/noarch                                              No change
pkgs/r/osx-64                                                 No change
pkgs/r/noarch                                                 No change
pkgs/main/osx-64                                              No change

Pinned packages:
  - python 3.12.*


warning  libmamba Added empty dependency for problem type SOLVER_RULE_UPDATE
Could not solve for environment specs
The following packages are incompatible
├─ ambertools 23.3**  is installable with the potential options
│  ├─ ambertools 23.3 would require
│  │  └─ libboost >=1.82.0,<1.83.0a0  with the potential options
│  │     ├─ libboost 1.82.0 would require
│  │     │  └─ icu >=72.1,<73.0a0 , which can be installed;
│  │     ├─ libboost 1.82.0 would require
│  │     │  └─ icu >=73.2,<74.0a0 , which can be installed;
│  │     └─ libboost 1.82.0 would require
│  │        └─ icu >=73.1,<74.0a0 , which can be installed;
│  ├─ ambertools 23.3 would require
│  │  └─ python >=3.10,<3.11.0a0 , which can be installed;
│  ├─ ambertools 23.3 would require
│  │  └─ python >=3.11,<3.12.0a0 , which can be installed;
│  ├─ ambertools 23.3 would require
│  │  └─ python >=3.8,<3.9.0a0 , which can be installed;
│  └─ ambertools 23.3 would require
│     └─ python >=3.9,<3.10.0a0 , which can be installed;
└─ librdkit is not installable because it requires
   └─ libboost >=1.84.0,<1.85.0a0  but there are no viable options
      ├─ libboost 1.84.0 would require
      │  └─ icu >=75.1,<76.0a0 , which conflicts with any installable versions previously reported;
      └─ libboost 1.84.0 conflicts with any installable versions previously reported.

@mikemhenry
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Is that making a fresh env? Using some hacks (I am on linux) it looks like it should solve on osx-arm64 CONDA_SUBDIR="osx-arm64" micromamba create -n foooooobar --dry-run -c conda-forge ambertools=23.3 "openff-toolkit=0.16.*" BUT I know sometimes when you have an env, the solver can get stuck trying to figure things out but a fresh one can help it out.

@slochower
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Good point. Although 23.3 is still flaky. I can step back to 22 in a new environment.

↪ for i in (seq 10); antechamber -i temp.sdf -fi sdf -o charged.mol2 -fo mol2 -pf yes -dr n -c bcc -nc 0.0 &> /dev/null && echo "Pass $i"; end

Pass 1
Pass 3
Pass 4
Pass 5
Pass 6
Pass 7

Here's ambertools=22 ...

↪ for i in (seq 10); antechamber -i temp.sdf -fi sdf -o charged.mol2 -fo mol2 -pf yes -dr n -c bcc -nc 0.0 &> /dev/null && echo "Pass $i"; end

Pass 2
Pass 3
Pass 4
Pass 5
Pass 7
Pass 8

😰

@mikemhenry
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okay one more idea,
antechamber -i molecule.sdf -fi sdf -o charged.mol2 -fo mol2 -pf yes -dr n -c bcc -nc 0.0 -ek

see if adding the -ek arg helps at all

@slochower
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I think that needs something after it?

@mikemhenry
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You are correct! -ek pseudo_diag=0 We can use -ek to pass in arguments to sqm, I've seen some weird things where diagonalization options/methods causes sqm to not be deterministic -- this is a bit of a rabbit hole since even if we figure out some collection of arguments that makes sqm work consistently, it is unclear if we can get those options upstreamed into the toolkit.

Another option to pass in is diag_routine=3, so try -ek "pseudo_diag=0, diag_routine=3" and see if that gets us 10 passes.

@slochower
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↪ antechamber -i temp.sdf -fi sdf -o charged.mol2 -fo mol2 -pf yes -dr n -c bcc -nc 0.0 -ek pseudo_diag=0

Welcome to antechamber 22.0: molecular input file processor.

Info: The atom type is set to gaff; the options available to the -at flag are
      gaff, gaff2, amber, bcc, and sybyl.

Info: Total number of electrons: 0; net charge: 0

Running: /Users/slochowe/miniforge3/envs/foo2/bin/sqm -O -i sqm.in -o sqm.out
/Users/slochowe/miniforge3/envs/foo2/bin/wrapped_progs/antechamber: Fatal Error!
Cannot properly run "/Users/slochowe/miniforge3/envs/foo2/bin/sqm -O -i sqm.in -o sqm.out".

I don't think this is a problem inside sqm but rather -- the input file is not being written correctly:

↪ bat sqm.in                                                             (foo2)
───────┬────────────────────────────────────────────────────────────────────────
       │ File: sqm.in
───────┼────────────────────────────────────────────────────────────────────────
   1   │ Run semi-empirical minimization
   2   │  &qmmm
   3   │   pseudo_diag=0  qmcharge=0,
   4   │  /
   5   │
───────┴────────────────────────────────────────────────────────────────────────

@mattwthompson
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IIUC, the toolkit doesn't actually write that file, so something before that step is failing?

I can't reproduce this behavior this morning using cuda_None_nompi_py312hc98840c_105

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