Molecular Structure Properties Calculation
SkillMonitoring & opsCompute a set of molecular structure complexity descriptors for a list of SMILES strings, returning detailed metrics for each molecule including the number of rotatable bonds, total/aromatic/aliphatic/saturated rings, heteroatoms, and bridgehead atoms, as well as the fraction of sp³-hybridized carbon atoms (Fsp³).
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 Structure 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-structure-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_structure_complexity.
Compute a set of molecular structure complexity descriptors 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 feature keys.
--smiles (str): A SMILES string of smiles_list
--num_rotatable_bonds (int): Number of rotatable bonds
--num_rings (int): Number of total rings
--num_aromatic_rings (int): Number of aromatic rings
--num_aliphatic_rings (int): Number of aliphatic rings
--num_saturated_rings (int): Number of saturated rings
--num_heteroatoms (int): Number of heteroatoms
--fraction_csp3 (float): The fraction of sp³-hybridized carbon atoms (Fsp³)
--num_bridgehead_atoms (int): Number of bridgehead atoms
How to use tool calculate_mol_structure_complexity:
response = await client.session.call_tool(
"calculate_mol_structure_complexity",
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-structure-metrics- Source
- github.com/internscience/molclaw