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Add LIPID MAPS fragment optimization dataset #394
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# OpenFF Lipid Optimization Training Supplement v1.0 | ||
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## Description | ||
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An optimization data set created to improve the training coverage of lipid-like | ||
molecules in Sage. The molecules in this data set were selected from the [LIPID | ||
MAPS](https://www.lipidmaps.org/) database via | ||
[cura](https://github.com/ntBre/curato/tree/6039bea5c64f8cd6b374fd12b5fa3b355898d98b) | ||
after being fragmented by the [XFF | ||
fragmentation](https://github.com/XtalPi-XFF/2023_XFF_paper/tree/b84ef6079d24ebd2e86f78a495e3257b375255fa/fragmentation) | ||
algorithm, clustered on the 2048-bit, radius-3 Morgan fingerprint from RDKit by | ||
the `LeaderPicker.LazyBitVectorPick` algorithm, also from RDKit, with a distance | ||
threshold of 0.6559. Placeholder dummy atoms in the fragments were generally | ||
filled with H atoms, and `S(=O)(=O)*` groups were replaced with `S(=O)([O-])`. | ||
The candidate fragments were further restricted to those with between 3 and 70 | ||
heavy atoms and containing only the elements Cl, P, Br, I, H, C, O, N, F, and S. | ||
Candidates with InChIKeys matching existing Sage training or benchmarking data | ||
were also filtered out. | ||
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## General Information | ||
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* Date: 2024-10-08 | ||
* Class: OpenFF Optimization Dataset | ||
* Purpose: Improve training coverage in Sage | ||
* Name: OpenFF Lipid Optimization Training Supplement v1.0 | ||
* Number of unique molecules: 3971 | ||
* Number of filtered molecules: 32 | ||
* Number of conformers: 29770 | ||
* Number of conformers per molecule (min, mean, max): 1, 7.50, 10 | ||
* Mean molecular weight: 291.73 | ||
* Max molecular weight: 1016.29 | ||
* Charges: -4.0, -1.0, 0.0, 1.0 | ||
* Dataset submitter: Brent Westbrook | ||
* Dataset generator: Brent Westbrook | ||
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## QCSubmit Generation Pipeline | ||
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* `generate-dataset.py`: This script shows how the dataset was prepared from the input file `input.smi`. | ||
* `main.py`: This script shows how the dataset was prepared from the initial cura database. | ||
* `inchis.dat`: The list of InChIKeys present in existing Sage training and | ||
benchmarking data, used by `main.py`. | ||
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## QCSubmit Manifest | ||
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* `generate-dataset.py`: Script describing dataset generation and submission | ||
* `input-environment.yaml`: Environment file used to create the Python environment for the script | ||
* `full-environment.yaml`: Fully-resolved environment used to execute the script | ||
* `opt.toml`: Experimental [qcaide](https://github.com/ntBre/qcaide) input file for defining | ||
variables used throughout the QCA submission process | ||
* `dataset.json.bz2`: Compressed dataset ready for submission | ||
* `dataset.pdf`: Visualization of dataset molecules | ||
* `output.smi`: SMILES strings for dataset molecules | ||
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## Metadata | ||
* Elements: {I, Br, O, H, P, C, N, Cl, F, S} | ||
* Spec: default | ||
* basis: DZVP | ||
* implicit_solvent: None | ||
* keywords: {} | ||
* maxiter: 200 | ||
* method: B3LYP-D3BJ | ||
* program: psi4 | ||
* SCF properties: | ||
* dipole | ||
* quadrupole | ||
* wiberg_lowdin_indices | ||
* mayer_indices |
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name: qcarchive-user-submit | ||
channels: | ||
- openeye | ||
- conda-forge | ||
dependencies: | ||
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- xorg-libxrender=0.9.11=hd590300_0 | ||
- xorg-libxt=1.3.0=hd590300_1 | ||
- xorg-renderproto=0.11.1=h7f98852_1002 | ||
- xorg-xextproto=7.3.0=h0b41bf4_1003 | ||
- xorg-xproto=7.0.31=h7f98852_1007 | ||
- xz=5.2.6=h166bdaf_0 | ||
- yaml=0.2.5=h7f98852_2 | ||
- zeromq=4.3.5=h59595ed_0 | ||
- zipp=3.17.0=pyhd8ed1ab_0 | ||
- zlib=1.2.13=hd590300_5 | ||
- zlib-ng=2.0.7=h0b41bf4_0 | ||
- zstandard=0.22.0=py311haa97af0_0 | ||
- zstd=1.5.5=hfc55251_0 | ||
- pip: | ||
- amberutils==21.0 | ||
- edgembar==0.2 | ||
- mmpbsa-py==16.0 | ||
- packmol-memgen==2023.2.24 | ||
- pdb4amber==22.0 | ||
- pymsmt==22.0 | ||
- pytraj==2.0.6 | ||
- sander==22.0 | ||
prefix: /home/brent/mambaforge/envs/qcarchive-user-submit |
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Just checking -- are these number of filtered molecules the ones that were filtered out, i.e. are not part of the number of unique molecules above?
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Yes that's right. This number is usually zero (at least in my previous submissions), but this time qcsubmit actually filtered out 32 molecules, I think for timeouts in conformer generation. My input SMILES file had 4003 entries, so these add up to that total at least.
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Thanks Brent!