Skip to content

Commit

Permalink
[pre-commit.ci] auto fixes from pre-commit.com hooks
Browse files Browse the repository at this point in the history
for more information, see https://pre-commit.ci
  • Loading branch information
pre-commit-ci[bot] committed Sep 23, 2024
1 parent 5b9a275 commit af1ca1a
Show file tree
Hide file tree
Showing 5 changed files with 157 additions and 149 deletions.
271 changes: 135 additions & 136 deletions data/tabular/ld50_catmos/meta.yaml
Original file line number Diff line number Diff line change
@@ -1,145 +1,144 @@
---
name: ld50_catmos
description: |-
Acute toxicity LD50 measures
the most conservative dose that can lead to lethal adverse effects.
The higher the dose, the more lethal of a drug.
We aggregated the data from multiple SMILES by computing the mean.
Acute toxicity LD50 measures
the most conservative dose that can lead to lethal adverse effects.
The higher the dose, the more lethal of a drug.
We aggregated the data from multiple SMILES by computing the mean.
targets:
- id: CATMoS_LD50_mgkg
description: Acute Toxicity LD50.
units: mg/kg
type: continuous
names:
- noun: acute oral toxicity rat LD50
- noun: acute oral toxicity (LD50 in rats)
uris:
- http://www.bioassayontology.org/bao#BAO_0002117
significant_digits: 1
- id: log10_LD50
description: Acute Toxicity LD50.
units: log10(mg/kg)
type: continuous
names:
- noun: log10 acute oral toxicity rat LD50
- noun: log10 acute oral toxicity (LD50 in rats)
- noun: log10 LD50 in rats (oral exposure)
- noun: log10 rat LD50 (oral exposure)
significant_digits: 2
- id: num_ghose_violations
description: Ghose filter violations
type: ordinal
significant_digits: 0
names:
- noun: Ghose filter violations
- noun: violations of the Ghose filter
- id: num_lead_likeness_violations
description: Lead likeness filter violations
type: ordinal
significant_digits: 0
names:
- noun: lead likeness filter violations
- noun: violations of the lead likeness filter
- id: num_lipinski_violations
description: Lipinski filter violations
type: ordinal
significant_digits: 0
names:
- noun: Lipinski rule violations
- noun: violations of the Lipinski rules
- id: molecular_mass
description: Molecular mass
type: continuous
units: g/mol
names:
- noun: molecular mass
- noun: molecular weight
- id: num_carbon_atoms
description: Number of carbon atoms
type: ordinal
significant_digits: 0
names:
- noun: carbon atoms
- id: num_oxygen_atoms
description: Number of oxygen atoms
type: ordinal
significant_digits: 0
names:
- noun: oxygen atoms
- id: CATMoS_LD50_mgkg
description: Acute Toxicity LD50.
units: mg/kg
type: continuous
names:
- noun: acute oral toxicity rat LD50
- noun: acute oral toxicity (LD50 in rats)
uris:
- http://www.bioassayontology.org/bao#BAO_0002117
significant_digits: 1
- id: log10_LD50
description: Acute Toxicity LD50.
units: log10(mg/kg)
type: continuous
names:
- noun: log10 acute oral toxicity rat LD50
- noun: log10 acute oral toxicity (LD50 in rats)
- noun: log10 LD50 in rats (oral exposure)
- noun: log10 rat LD50 (oral exposure)
significant_digits: 2
- id: num_ghose_violations
description: Ghose filter violations
type: ordinal
significant_digits: 0
names:
- noun: Ghose filter violations
- noun: violations of the Ghose filter
- id: num_lead_likeness_violations
description: Lead likeness filter violations
type: ordinal
significant_digits: 0
names:
- noun: lead likeness filter violations
- noun: violations of the lead likeness filter
- id: num_lipinski_violations
description: Lipinski filter violations
type: ordinal
significant_digits: 0
names:
- noun: Lipinski rule violations
- noun: violations of the Lipinski rules
- id: molecular_mass
description: Molecular mass
type: continuous
units: g/mol
names:
- noun: molecular mass
- noun: molecular weight
- id: num_carbon_atoms
description: Number of carbon atoms
type: ordinal
significant_digits: 0
names:
- noun: carbon atoms
- id: num_oxygen_atoms
description: Number of oxygen atoms
type: ordinal
significant_digits: 0
names:
- noun: oxygen atoms
identifiers:
- id: SMILES
type: SMILES
description: SMILES
- id: SMILES
type: SMILES
description: SMILES
license: CC BY 4.0
links:
- url: https://ehp.niehs.nih.gov/doi/full/10.1289/EHP8495#supplementary-materials
description: corresponding publication
- url: https://ehp.niehs.nih.gov/doi/full/10.1289/EHP8495#supplementary-materials
description: corresponding publication
num_points: 9032
bibtex:
- |-
@article{Mansouri_2021, title={CATMoS: Collaborative Acute Toxicity Modeling Suite},
volume={129},
ISSN={1552-9924},
url={http://dx.doi.org/10.1289/EHP8495},
DOI={10.1289/ehp8495},
number={4},
journal={Environmental Health Perspectives},
publisher={Environmental Health Perspectives},
author={Mansouri, Kamel and Karmaus, Agnes L. and Fitzpatrick, Jeremy
and Patlewicz, Grace and Pradeep, Prachi and Alberga, Domenico and
Alepee, Nathalie and Allen, Timothy E.H. and Allen, Dave and Alves, Vinicius M.
and Andrade, Carolina H. and Auernhammer, Tyler R. and Ballabio, Davide and
Bell, Shannon and Benfenati, Emilio and Bhattacharya, Sudin and
Bastos, Joyce V. and Boyd, Stephen and Brown, J.B. and Capuzzi, Stephen J. and
Chushak, Yaroslav and Ciallella, Heather and Clark, Alex M. and
Consonni, Viviana and Daga, Pankaj R. and Ekins, Sean and Farag, Sherif and
Fedorov, Maxim and Fourches, Denis and Gadaleta, Domenico and Gao, Feng and
Gearhart, Jeffery M. and Goh, Garett and Goodman, Jonathan M. and
Grisoni, Francesca and Grulke, Christopher M. and Hartung, Thomas and
Hirn, Matthew and Karpov, Pavel and Korotcov, Alexandru and
Lavado, Giovanna J. and Lawless, Michael and Li, Xinhao and
Luechtefeld, Thomas and Lunghini, Filippo and Mangiatordi, Giuseppe F. and
Marcou, Gilles and Marsh, Dan and Martin, Todd and Mauri, Andrea and
Muratov, Eugene N. and Myatt, Glenn J. and Nguyen, Dac-Trung and
Nicolotti, Orazio and Note, Reine and Pande, Paritosh and
Parks, Amanda K. and Peryea, Tyler and Polash, Ahsan H. and
Rallo, Robert and Roncaglioni, Alessandra and Rowlands, Craig and
Ruiz, Patricia and Russo, Daniel P. and Sayed, Ahmed and Sayre, Risa and
Sheils, Timothy and Siegel, Charles and Silva, Arthur C. and Simeonov, Anton and
Sosnin, Sergey and Southall, Noel and Strickland, Judy and Tang, Yun and
Teppen, Brian and Tetko, Igor V. and Thomas, Dennis and Tkachenko, Valery and
Todeschini, Roberto and Toma, Cosimo and Tripodi, Ignacio and
Trisciuzzi, Daniela and Tropsha, Alexander and Varnek, Alexandre and
Vukovic, Kristijan and Wang, Zhongyu and Wang, Liguo and
Waters, Katrina M. and Wedlake, Andrew J. and Wijeyesakere, Sanjeeva J. and
Wilson, Dan and Xiao, Zijun and Yang, Hongbin and Zahoranszky-Kohalmi, Gergely and
Zakharov, Alexey V. and Zhang, Fagen F. and Zhang, Zhen and Zhao, Tongan and
Zhu, Hao and Zorn, Kimberley M. and Casey, Warren and Kleinstreuer, Nicole C.},
year={2021}, month=apr }
- |-
@article{Mansouri_2021, title={CATMoS: Collaborative Acute Toxicity Modeling Suite},
volume={129},
ISSN={1552-9924},
url={http://dx.doi.org/10.1289/EHP8495},
DOI={10.1289/ehp8495},
number={4},
journal={Environmental Health Perspectives},
publisher={Environmental Health Perspectives},
author={Mansouri, Kamel and Karmaus, Agnes L. and Fitzpatrick, Jeremy
and Patlewicz, Grace and Pradeep, Prachi and Alberga, Domenico and
Alepee, Nathalie and Allen, Timothy E.H. and Allen, Dave and Alves, Vinicius M.
and Andrade, Carolina H. and Auernhammer, Tyler R. and Ballabio, Davide and
Bell, Shannon and Benfenati, Emilio and Bhattacharya, Sudin and
Bastos, Joyce V. and Boyd, Stephen and Brown, J.B. and Capuzzi, Stephen J. and
Chushak, Yaroslav and Ciallella, Heather and Clark, Alex M. and
Consonni, Viviana and Daga, Pankaj R. and Ekins, Sean and Farag, Sherif and
Fedorov, Maxim and Fourches, Denis and Gadaleta, Domenico and Gao, Feng and
Gearhart, Jeffery M. and Goh, Garett and Goodman, Jonathan M. and
Grisoni, Francesca and Grulke, Christopher M. and Hartung, Thomas and
Hirn, Matthew and Karpov, Pavel and Korotcov, Alexandru and
Lavado, Giovanna J. and Lawless, Michael and Li, Xinhao and
Luechtefeld, Thomas and Lunghini, Filippo and Mangiatordi, Giuseppe F. and
Marcou, Gilles and Marsh, Dan and Martin, Todd and Mauri, Andrea and
Muratov, Eugene N. and Myatt, Glenn J. and Nguyen, Dac-Trung and
Nicolotti, Orazio and Note, Reine and Pande, Paritosh and
Parks, Amanda K. and Peryea, Tyler and Polash, Ahsan H. and
Rallo, Robert and Roncaglioni, Alessandra and Rowlands, Craig and
Ruiz, Patricia and Russo, Daniel P. and Sayed, Ahmed and Sayre, Risa and
Sheils, Timothy and Siegel, Charles and Silva, Arthur C. and Simeonov, Anton and
Sosnin, Sergey and Southall, Noel and Strickland, Judy and Tang, Yun and
Teppen, Brian and Tetko, Igor V. and Thomas, Dennis and Tkachenko, Valery and
Todeschini, Roberto and Toma, Cosimo and Tripodi, Ignacio and
Trisciuzzi, Daniela and Tropsha, Alexander and Varnek, Alexandre and
Vukovic, Kristijan and Wang, Zhongyu and Wang, Liguo and
Waters, Katrina M. and Wedlake, Andrew J. and Wijeyesakere, Sanjeeva J. and
Wilson, Dan and Xiao, Zijun and Yang, Hongbin and Zahoranszky-Kohalmi, Gergely and
Zakharov, Alexey V. and Zhang, Fagen F. and Zhang, Zhen and Zhao, Tongan and
Zhu, Hao and Zorn, Kimberley M. and Casey, Warren and Kleinstreuer, Nicole C.},
year={2021}, month=apr }
templates:
- The {#molecule|chemical|compound!} with the {SMILES__description} {#representation of |!}{SMILES#} {#shows|exhibits|displays!} an {CATMoS_LD50_mgkg__names__noun} of {CATMoS_LD50_mgkg#} {CATMoS_LD50_mgkg__units}.
- The {#molecule|chemical|compound!} with the {SMILES__description} {#representation of |!}{SMILES#} {#shows|exhibits|displays!} a {log10_LD50__names__noun} of {log10_LD50#} {log10_LD50__units}.
- |
Task: Determine the acute oral toxicity and molecular properties of a {#molecule|chemical|compound!} given the {SMILES__description}.
Input: {SMILES#}
Desired Output: {CATMoS_LD50_mgkg__names__noun}, {log10_LD50__names__noun}, {num_ghose_violations__names__noun}, {num_lead_likeness_violations__names__noun}, {num_lipinski_violations__names__noun}, {molecular_mass__names__noun}, {num_carbon_atoms__names__noun}, {num_oxygen_atoms__names__noun}
Output: {CATMoS_LD50_mgkg#} {CATMoS_LD50_mgkg__units}, {log10_LD50#} {log10_LD50__units}, {num_ghose_violations#}, {num_lead_likeness_violations#}, {num_lipinski_violations#}, {molecular_mass#} {molecular_mass__units}, {num_carbon_atoms#}, {num_oxygen_atoms#}
- |
Context: You are {#an assistant|researcher|scientist!} in a pharmaceutical company. Your {#boss|superior|department head!} has asked you to {#design|create|synthesize!} a new drug.
User: The {#drug|compound|chemical!} should have a {CATMoS_LD50_mgkg__names__noun} of {CATMoS_LD50_mgkg#} {CATMoS_LD50_mgkg__units}, {num_ghose_violations#} {num_ghose_violations__names__noun}, {num_lead_likeness_violations#} {num_lead_likeness_violations__names__noun}, {num_lipinski_violations#} {num_lipinski_violations__names__noun}, {molecular_mass#} {molecular_mass__names__noun} {molecular_mass__units}, {num_carbon_atoms#} {num_carbon_atoms__names__noun}, and {num_oxygen_atoms#} {num_oxygen_atoms__names__noun}.
Assistant: {#Happy to help!|Sure!|Of course!} The {#molecule|chemical|compound!} with the {SMILES__description} {#representation of |!}{SMILES#} {#shows|exhibits|displays!} the desired properties.
- |
User: I need a {#drug|compound|chemical!} with a {log10_LD50__names__noun} of {log10_LD50#} {log10_LD50__units}.
Assistant: {#Happy to help!|Sure!|Of course!} Can you provide me with more {#constraints|details|information!}?
User: The {#drug|compound|chemical!} should have {num_ghose_violations#} {num_ghose_violations__names__noun}, {num_lead_likeness_violations#} {num_lead_likeness_violations__names__noun}, {num_lipinski_violations#} {num_lipinski_violations__names__noun}, {num_carbon_atoms#} {num_carbon_atoms__names__noun}, and {num_oxygen_atoms#} {num_oxygen_atoms__names__noun}.
Assistant: The {#molecule|chemical|compound!} with the {SMILES__description} {#representation of |!}{SMILES#} {#shows|exhibits|displays!} the desired properties.
- |
User: I need a {#drug|compound|chemical!} with a {CATMoS_LD50_mgkg__names__noun} of {CATMoS_LD50_mgkg#} {CATMoS_LD50_mgkg__units}.
Assistant: {#Happy to help!|Sure!|Of course!} Can you provide me with more {#constraints|details|information!}?
User: The {#drug|compound|chemical!} should have a {num_carbon_atoms#} {num_carbon_atoms__names__noun}, {num_oxygen_atoms#} {num_oxygen_atoms__names__noun}, and a {molecular_mass__names__noun} of {molecular_mass#} {molecular_mass__units}. Could you please only provide me with the {SMILES__description} and return no other information?
Assistant: {SMILES#}
- |
User: I am looking for a {#drug|compound|chemical!} with a {log10_LD50__names__noun} of {log10_LD50#} {log10_LD50__units}.
Assistant: {#That's interesting!|Interesting!|I see!} Can you provide me with more {#constraints|details|information!}?
User: The {#drug|compound|chemical!} should have {num_ghose_violations#} {num_ghose_violations__names__noun}, {num_lead_likeness_violations#} {num_lead_likeness_violations__names__noun}, {num_lipinski_violations#} {num_lipinski_violations__names__noun}, {num_carbon_atoms#} {num_carbon_atoms__names__noun}, and {num_oxygen_atoms#} {num_oxygen_atoms__names__noun}. Please return only the {SMILES__description} wrapped as follows [ANSWER]<SMILES>[/ANSWER].
Assistant: [ANSWER]{SMILES#}[/ANSWER]
- The {#molecule|chemical|compound!} with the {SMILES__description} {#representation of |!}{SMILES#} {#shows|exhibits|displays!} an {CATMoS_LD50_mgkg__names__noun} of {CATMoS_LD50_mgkg#} {CATMoS_LD50_mgkg__units}.
- The {#molecule|chemical|compound!} with the {SMILES__description} {#representation of |!}{SMILES#} {#shows|exhibits|displays!} a {log10_LD50__names__noun} of {log10_LD50#} {log10_LD50__units}.
- |
Task: Determine the acute oral toxicity and molecular properties of a {#molecule|chemical|compound!} given the {SMILES__description}.
Input: {SMILES#}
Desired Output: {CATMoS_LD50_mgkg__names__noun}, {log10_LD50__names__noun}, {num_ghose_violations__names__noun}, {num_lead_likeness_violations__names__noun}, {num_lipinski_violations__names__noun}, {molecular_mass__names__noun}, {num_carbon_atoms__names__noun}, {num_oxygen_atoms__names__noun}
Output: {CATMoS_LD50_mgkg#} {CATMoS_LD50_mgkg__units}, {log10_LD50#} {log10_LD50__units}, {num_ghose_violations#}, {num_lead_likeness_violations#}, {num_lipinski_violations#}, {molecular_mass#} {molecular_mass__units}, {num_carbon_atoms#}, {num_oxygen_atoms#}
- |
Context: You are {#an assistant|researcher|scientist!} in a pharmaceutical company. Your {#boss|superior|department head!} has asked you to {#design|create|synthesize!} a new drug.
User: The {#drug|compound|chemical!} should have a {CATMoS_LD50_mgkg__names__noun} of {CATMoS_LD50_mgkg#} {CATMoS_LD50_mgkg__units}, {num_ghose_violations#} {num_ghose_violations__names__noun}, {num_lead_likeness_violations#} {num_lead_likeness_violations__names__noun}, {num_lipinski_violations#} {num_lipinski_violations__names__noun}, {molecular_mass#} {molecular_mass__names__noun} {molecular_mass__units}, {num_carbon_atoms#} {num_carbon_atoms__names__noun}, and {num_oxygen_atoms#} {num_oxygen_atoms__names__noun}.
Assistant: {#Happy to help!|Sure!|Of course!} The {#molecule|chemical|compound!} with the {SMILES__description} {#representation of |!}{SMILES#} {#shows|exhibits|displays!} the desired properties.
- |
User: I need a {#drug|compound|chemical!} with a {log10_LD50__names__noun} of {log10_LD50#} {log10_LD50__units}.
Assistant: {#Happy to help!|Sure!|Of course!} Can you provide me with more {#constraints|details|information!}?
User: The {#drug|compound|chemical!} should have {num_ghose_violations#} {num_ghose_violations__names__noun}, {num_lead_likeness_violations#} {num_lead_likeness_violations__names__noun}, {num_lipinski_violations#} {num_lipinski_violations__names__noun}, {num_carbon_atoms#} {num_carbon_atoms__names__noun}, and {num_oxygen_atoms#} {num_oxygen_atoms__names__noun}.
Assistant: The {#molecule|chemical|compound!} with the {SMILES__description} {#representation of |!}{SMILES#} {#shows|exhibits|displays!} the desired properties.
- |
User: I need a {#drug|compound|chemical!} with a {CATMoS_LD50_mgkg__names__noun} of {CATMoS_LD50_mgkg#} {CATMoS_LD50_mgkg__units}.
Assistant: {#Happy to help!|Sure!|Of course!} Can you provide me with more {#constraints|details|information!}?
User: The {#drug|compound|chemical!} should have a {num_carbon_atoms#} {num_carbon_atoms__names__noun}, {num_oxygen_atoms#} {num_oxygen_atoms__names__noun}, and a {molecular_mass__names__noun} of {molecular_mass#} {molecular_mass__units}. Could you please only provide me with the {SMILES__description} and return no other information?
Assistant: {SMILES#}
- |
User: I am looking for a {#drug|compound|chemical!} with a {log10_LD50__names__noun} of {log10_LD50#} {log10_LD50__units}.
Assistant: {#That's interesting!|Interesting!|I see!} Can you provide me with more {#constraints|details|information!}?
User: The {#drug|compound|chemical!} should have {num_ghose_violations#} {num_ghose_violations__names__noun}, {num_lead_likeness_violations#} {num_lead_likeness_violations__names__noun}, {num_lipinski_violations#} {num_lipinski_violations__names__noun}, {num_carbon_atoms#} {num_carbon_atoms__names__noun}, and {num_oxygen_atoms#} {num_oxygen_atoms__names__noun}. Please return only the {SMILES__description} wrapped as follows [ANSWER]<SMILES>[/ANSWER].
Assistant: [ANSWER]{SMILES#}[/ANSWER]
3 changes: 1 addition & 2 deletions data/tabular/mona/example_processing_and_templates.ipynb
Original file line number Diff line number Diff line change
Expand Up @@ -20,7 +20,6 @@
"from tqdm import tqdm\n",
"\n",
"# import datasets\n",
"import rdkit\n",
"import rdkit.Chem as Chem\n",
"import rdkit.RDLogger as RDLogger"
]
Expand Down Expand Up @@ -1444,7 +1443,7 @@
" k = md[\"name\"]\n",
" v = md.get(\"value\", np.nan)\n",
" df_row[\"md_\" + transform_key(k)] = v\n",
" if not (v is np.nan):\n",
" if v is not np.nan:\n",
" md_keys.append(k)\n",
" md_key_counter.update(md_keys)\n",
" compounds = entry.get(\"compound\", [])\n",
Expand Down
5 changes: 0 additions & 5 deletions data/tabular/orbnet_denali/develop_transform.ipynb
Original file line number Diff line number Diff line change
Expand Up @@ -25,11 +25,7 @@
"metadata": {},
"outputs": [],
"source": [
"from pathlib import Path\n",
"from rdkit import Chem\n",
"import matplotlib.pyplot as plt\n",
"import numpy as np\n",
"import os\n",
"import pandas as pd\n",
"from glob import glob"
]
Expand Down Expand Up @@ -474,7 +470,6 @@
"metadata": {},
"outputs": [],
"source": [
"from rdkit.Chem import rdDetermineBonds\n",
"from chemnlp.utils import xyz_to_mol"
]
},
Expand Down
Loading

0 comments on commit af1ca1a

Please sign in to comment.