Molecular Charge-related Properties Calculation
SkillMonitoring & opsCompute Gasteiger partial charges and formal charge for a list of SMILES strings, returning the minimum, maximum, average, and range of the Gasteiger charges alongside the formal charge for each molecule.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Molecular Charge-related Properties Calculation skill
What this skill tells your AI
The instructions your AI receives, as published by internscience/molclaw in skills/L1_tools/molclaw-mol-charge-metrics/SKILL.md and read by ahel’s review.
Note:
- Local files are not directly accessible by the server. Please upload them to the server using
molclaw-file-transferbefore execution. - For PDB file inputs, it is recommended to preprocess them using
molclaw-pdbfixerbefore execution. - Please refer to skill
molclaw-scp-serverto complete tool invocation.
The description of tool calculate_mol_charge.
Compute Gasteiger partial charges and formal charge for each SMILES.
Args:
smiles_list (List[str]): List of input SMILES strings, (e.g., ["N[C@@H](Cc1ccc(O)cc1)C(=O)O", "CC(C)C1=CC=CC=C1"])
Return:
status (str): success/error
msg (str): message
metrics (List[dict]): List of dict, each containing several feature keys.
--smiles (str): A SMILES string of smiles_list
--min_gasteiger_charge (float): Minimum of Gasteiger charges
--max_gasteiger_charge (float): Maximum of Gasteiger charges
--avg_gasteiger_charge (float): Average of Gasteiger charges
--gasteiger_charge_range (float): Range of Gasteiger charges
--formal_charge (int): Formal charge
How to use tool calculate_mol_charge:
response = await client.session.call_tool(
"calculate_mol_charge",
arguments={
"smiles_list": smiles_list
}
)
result = client.parse_result(response)
metrics = result["metrics"]
Signals
- GitHub stars
- 33
- Forks
- 3
- Last commit
- Aug 2026
Advanced
- Catalog kind
- skill
- Gateway key
molclaw-mol-charge-metrics- Source
- github.com/internscience/molclaw