Molecule Generation De Novo

SkillDev tools

Generate new molecules de novo.

Available today. Use it from your connected AI after setup.

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-transfer before execution.
  • For PDB file inputs, it is recommended to preprocess them using molclaw-pdbfixer before execution.
  • Please refer to skill molclaw-scp-server to 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