molecular-properties-calculation
$
npx mdskill add InternScience/scp/molecular-properties-calculationCalculates molecular properties from SMILES strings
- Solves the task of deriving molecular weight, formula, atom counts, and exact mass from SMILES
- Uses FastMCP library for communication with a molecular calculation server
- Processes input SMILES strings to extract chemical structure data
- Returns calculated properties in a structured format to the user or agent
SKILL.md
.github/skills/molecular-properties-calculationView on GitHub ↗
---
name: molecular-properties-calculation
description: Calculate basic molecular properties from SMILES including molecular weight, formula, atom counts, and exact mass.
license: MIT license
metadata:
skill-author: PJLab
---
# Molecular Properties Calculation
## Usage
### 1. MCP Server Definition
```python
import asyncio
import json
from fastmcp import Client
from fastmcp.client.transports import StreamableHttpTransport
class ChemicalToolsClient:
"""Chemical Tools MCP Client using FastMCP"""
def __init__(self, server_url: str, headers: dict = None):
self.server_url = server_url
self.headers = headers or {}
self.client = None
async def connect(self):
"""Establish connection and initialize session"""
print(f"Connecting to: {self.server_url}")
try:
transport = StreamableHttpTransport(
url=self.server_url,
headers=self.headers
)
self.client = Client(transport)
await self.client.__aenter__()
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):
"""Disconnect from server"""
try:
if self.client:
await self.client.__aexit__(None, None, None)
print("✓ already disconnect")
except Exception as e:
print(f"✗ disconnect error: {e}")
def parse_result(self, result):
"""Parse MCP tool call result"""
try:
if hasattr(result, 'content') and result.content:
content = result.content[0]
if hasattr(content, 'text'):
try:
return json.loads(content.text)
except:
return content.text
return str(result)
except Exception as e:
return {"error": f"parse error: {e}", "raw": str(result)}
```
### 2. Molecular Properties Calculation Workflow
This workflow calculates fundamental molecular properties from SMILES strings, useful for drug discovery, chemical analysis, and computational chemistry.
**Workflow Steps:**
1. **Calculate Molecular Weight** - Compute average molecular weight
2. **Calculate Molecular Formula** - Determine elemental composition
3. **Calculate Exact Molecular Weight** - Compute monoisotopic mass
4. **Count Atoms** - Determine total and heavy atom counts
**Implementation:**
```python
## Initialize client
HEADERS = {"SCP-HUB-API-KEY": "<your-api-key>"}
client = ChemicalToolsClient(
"https://scp.intern-ai.org.cn/api/v1/mcp/31/SciToolAgent-Chem",
HEADERS
)
if not await client.connect():
print("connection failed")
exit()
## Input: SMILES string to analyze
smiles = "CCO" # Ethanol
print(f"=== Molecular Properties for {smiles} ===\n")
## Step 1: Calculate molecular weight
print("Step 1: Molecular Weight")
result = await client.client.call_tool(
"SMILESToWeight",
arguments={"smiles": smiles}
)
result_data = client.parse_result(result)
print(f"{result_data}\n")
## Step 2: Calculate molecular formula
print("Step 2: Molecular Formula")
result = await client.client.call_tool(
"GetMolFormula",
arguments={"smiles": smiles}
)
result_data = client.parse_result(result)
print(f"{result_data}\n")
## Step 3: Calculate exact molecular weight
print("Step 3: Exact Molecular Weight")
result = await client.client.call_tool(
"GetExactMolceularWeight",
arguments={"smiles": smiles}
)
result_data = client.parse_result(result)
print(f"{result_data}\n")
## Step 4: Count atoms
print("Step 4: Atom Count")
result = await client.client.call_tool(
"GetAtomsNum",
arguments={"smiles": smiles}
)
result_data = client.parse_result(result)
print(f"{result_data}\n")
## Step 5: Count heavy atoms
print("Step 5: Heavy Atom Count")
result = await client.client.call_tool(
"GetHeavyAtomsNum",
arguments={"smiles": smiles}
)
result_data = client.parse_result(result)
print(f"{result_data}\n")
await client.disconnect()
```
### Tool Descriptions
**SciToolAgent-Chem Server:**
- `SMILESToWeight`: Calculate average molecular weight
- Args: `smiles` (str) - SMILES string
- Returns: Molecular weight in g/mol
- `GetMolFormula`: Calculate molecular formula
- Args: `smiles` (str) - SMILES string
- Returns: Molecular formula (e.g., C₂H₆O)
- `GetExactMolceularWeight`: Calculate exact (monoisotopic) molecular weight
- Args: `smiles` (str) - SMILES string
- Returns: Exact mass (most abundant isotope composition)
- `GetAtomsNum`: Count total number of atoms
- Args: `smiles` (str) - SMILES string
- Returns: Total atom count (excluding hydrogens in implicit SMILES)
- `GetHeavyAtomsNum`: Count heavy atoms (non-hydrogen)
- Args: `smiles` (str) - SMILES string
- Returns: Heavy atom count
### Input/Output
**Input:**
- `smiles`: Molecule in SMILES format (e.g., "CCO", "c1ccccc1", "CC(=O)O")
**Output:**
- **Molecular Weight**: Average mass based on natural isotope abundances (g/mol or Da)
- **Molecular Formula**: Elemental composition (CₓHᵧNᵢOⱼ...)
- **Exact Molecular Weight**: Monoisotopic mass (most abundant isotope for each element)
- **Atom Count**: Total number of atoms in the molecule
- **Heavy Atom Count**: Number of non-hydrogen atoms
### Use Cases
- Drug-likeness assessment (molecular weight screening)
- Mass spectrometry data interpretation
- Stoichiometry calculations
- Chemical database queries
- Lipinski's Rule of Five evaluation
- Compound library characterization
- Quality control for chemical synthesis
### Molecular Weight Types
- **Average MW**: Used for general calculations, based on natural isotope distribution
- **Exact MW**: Used for mass spectrometry, based on most abundant isotopes
- **Difference**: Minimal for small molecules, can be significant for large biomolecules
Example:
- Ethanol (C₂H₆O): Average MW = 46.07 Da, Exact MW = 46.0418 Da
### Additional Molecular Property Tools
The SciToolAgent-Chem server provides 160+ additional tools including:
- `GetRotatableBondsNum`: Count rotatable bonds
- `GetHBDNum`/`GetHBANum`: Hydrogen bond donors/acceptors
- `GetRingsNum`: Count ring systems
- `GetTPSA`: Calculate topological polar surface area (TPSA)
- `GetCrippenDescriptors`: Calculate logP and molar refractivity
- `GetLipinskiHBDNum`/`GetLipinskiHBANum`: Lipinski rule parameters
- `GetAromaticRingsNum`: Count aromatic rings
- `GetFractionCSP3`: Calculate fraction of sp³ carbons
### Lipinski's Rule of Five
For drug-likeness, molecules should satisfy:
1. Molecular weight ≤ 500 Da
2. LogP ≤ 5
3. Hydrogen bond donors ≤ 5
4. Hydrogen bond acceptors ≤ 10
Use the property calculation tools to assess these criteria.