Molecule Generation De Novo
SkillDev toolsGenerate new molecules de novo.
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 Molecule Generation De Novo skill
What this skill tells your AI
The instructions your AI receives, as published by internscience/molclaw in skills/L1_tools/molclaw-denovo-sampling/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 reinvent_denovo_sampling.
Generate new molecules de novo.
Args:
n (int): Number of molecules for sampling
lipinski (bool): Required flag controlling Lipinski filtering (commonly True)
filter_preset (str): Required filter preset; options: ['none', 'minimal', 'default', 'strict', 'druglike', 'all'] (commonly 'druglike')
Return:
status (str): success/error
msg (str): message
save_smiles_file (str): Path to the saved SMILES file
output_smiles_list (List[str]): List of generated SMILES strings
How to use tool reinvent_denovo_sampling :
response = await client.session.call_tool(
"reinvent_denovo_sampling",
arguments={
"n": n,
"lipinski": True,
"filter_preset": filter_type
}
)
result = client.parse_result(response)
output_smiles_list = result["output_smiles_list"]
Signals
- GitHub stars
- 33
- Forks
- 3
- Last commit
- Aug 2026
Advanced
- Catalog kind
- skill
- Gateway key
molclaw-denovo-sampling- Source
- github.com/internscience/molclaw