Molecule Generation

SkillDev tools

Generate new molecules sampling from the input two warhead fragments.

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 skill

What this skill tells your AI

The instructions your AI receives, as published by internscience/scp in skills/drugsda-linker-sampling/SKILL.md and read by ahel’s review.

Usage

1. MCP Server Definition

import json
from mcp.client.streamable_http import streamablehttp_client
from mcp import ClientSession

class DrugSDAClient:
    def __init__(self, server_url: str):
        self.server_url = server_url
        self.session = None

    async def connect(self):
        print(f"server url: {self.server_url}")
        try:
            self.transport = streamablehttp_client(
                url=self.server_url,
                headers={"SCP-HUB-API-KEY": "sk-a0033dde-b3cd-413b-adbe-980bc78d6126"}
            )
            self.read, self.write, self.get_session_id = await self.transport.__aenter__()

            self.session_ctx = ClientSession(self.read, self.write)
            self.session = await self.session_ctx.__aenter__()

            await self.session.initialize()
            session_id = self.get_session_id()

            print(f"✓ connect success")
            return True

        except Exception as e:
            print(f"✗ connect failure: {e}")
            import traceback
            traceback.print_exc()
            return False

    async def disconnect(self):
        try:
            if self.session:
                await self.session_ctx.__aexit__(None, None, None)
            if hasattr(self, 'transport'):
                await self.transport.__aexit__(None, None, None)
            print("✓ already disconnect")
        except Exception as e:
            print(f"✗ disconnect error: {e}")

    def parse_result(self, result):
        try:
            if hasattr(result, 'content') and result.content:
                content = result.content[0]
                if hasattr(content, 'text'):
                    return json.loads(content.text)
            return str(result)
        except Exception as e:
            return {"error": f"parse error: {e}", "raw": str(result)}

2. Mol2Mol Sampling

The description of tool linkinvent_linker_sampling_by_warheads.

Generate new molecules sampling from the input two warhead fragments.
Args:
    warheads (str): SMILES of two warheads separated by '|', e.g., '*c1ccc(O)cc1|*N1CCNCC1'
    n (int): Number of molecules for sampling
    filter_preset (str): Filter preset, options: ['none', 'minimal', 'default', 'strict'], default is 'default'
    lipinski (bool): Whether to apply Lipinski's rule of five filtering, default is True
    min_linker_atoms (int): Minimum number of atoms in the linker, default is 0
    max_linker_atoms (int): Maximum number of atoms in the linker, default is 0
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 linkinvent_linker_sampling_by_warheads :

client = DrugSDAClient("https://scp.intern-ai.org.cn/api/v1/mcp/2/DrugSDA-Tool")
if not await client.connect():
    print("connection failed")
    return

response = await client.session.call_tool(
    "linkinvent_linker_sampling_by_warheads",
    arguments={
        "warheads": warheads,
        "n": n,
        "lipinski": True,
        "filter_preset": filter_type,
        "min_linker_atoms": min_linker_atoms,
        "max_linker_atoms": max_linker_atoms
    }
)
result = client.parse_result(response)
output_smiles_list = result["output_smiles_list"]

await client.disconnect()

Signals

GitHub stars
167
Forks
9
Last commit
Jun 2026
Advanced
Catalog kind
skill
Gateway key
drugsda-linker-sampling
Source
github.com/internscience/scp
Molecule Generation by internscience: Skill · ahel