Peptide Properties Calculation
SkillDev toolsCalculate peptide sequence properties including molecular weight, isoelectric point, extinction coefficient, and chemical formula.
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 Peptide Properties Calculation skill
What this skill tells your AI
The instructions your AI receives, as published by internscience/scp in skills/peptide-properties-calculation/SKILL.md and read by ahel’s review.
Usage
1. MCP Server Definition
Use the same BiologyToolsClient class as defined in the protein-properties-calculation skill.
2. Peptide Properties Calculation Workflow
This workflow calculates comprehensive physicochemical properties of peptide sequences for peptide drug design, synthesis planning, and characterization.
Workflow Steps:
- Calculate Peptide Properties - Compute MW, pI, extinction coefficient, GRAVY, and chemical formula
- Analyze Multiple Peptides - Compare properties across different sequences
Implementation:
## Initialize client
HEADERS = {"SCP-HUB-API-KEY": "<your-api-key>"}
client = BiologyToolsClient(
"https://scp.intern-ai.org.cn/api/v1/mcp/29/SciToolAgent-Bio",
HEADERS
)
if not await client.connect():
print("connection failed")
exit()
print("=== Peptide Properties Calculation ===\n")
## Input: Peptide sequences to analyze
peptides = [
("All 20 amino acids", "ACDEFGHIKLMNPQRSTVWY"),
("Glycine repeat", "GGGGG"),
("Arginine repeat (positively charged)", "RRRRR"),
]
## Calculate properties for each peptide
for name, peptide in peptides:
print(f"--- {name}: {peptide} ---")
# Calculate peptide properties
result = await client.client.call_tool(
"CalculatorPeptideProperty",
arguments={
"sq": peptide,
"aaCode": "0", # Use single-letter code
"nTerm": "", # N-terminal modification (if any)
"cTerm": "", # C-terminal modification (if any)
"disulphideBonds": "" # Disulfide bonds (if any)
}
)
result_data = client.parse_result(result)
print(f"{result_data}\n")
## Additional analysis: Peptide weight calculation
print("=== Peptide Weight Calculation (Alternative Method) ===\n")
test_peptide = "ACDEFGHIKLMNPQRSTVWY"
result = await client.client.call_tool(
"PeptideWeightCalculator",
arguments={"sequence": test_peptide}
)
result_data = client.parse_result(result)
print(f"Peptide: {test_peptide}")
print(f"{result_data}\n")
## Additional analysis: Peptide formula calculation
print("=== Peptide Chemical Formula ===\n")
result = await client.client.call_tool(
"PeptideFormulaCalculator",
arguments={"sequence": test_peptide}
)
result_data = client.parse_result(result)
print(f"Peptide: {test_peptide}")
print(f"{result_data}\n")
await client.disconnect()
Tool Descriptions
SciToolAgent-Bio Server:
-
CalculatorPeptideProperty: Calculate comprehensive peptide properties- Args:
sq(str): Peptide sequence (single or three-letter code)aaCode(str): "0" for single-letter, "1" for three-letter codenTerm(str): N-terminal modification (e.g., "Acetyl", "")cTerm(str): C-terminal modification (e.g., "Amide", "")disulphideBonds(str): Disulfide bonds specification
- Returns: MW, extinction coefficient, pI, GRAVY, chemical formula, sequence length
- Args:
-
PeptideWeightCalculator: Calculate peptide molecular weight- Args:
sequence(str) - Peptide sequence - Returns: Molecular weight in Daltons
- Args:
-
PeptideFormulaCalculator: Calculate peptide chemical formula- Args:
sequence(str) - Peptide sequence - Returns: Molecular formula (e.g., C₁₀₇H₁₅₉N₂₉O₃₀S₂)
- Args:
Input/Output
Input:
sq: Peptide sequence in single-letter (ACDEFG...) or three-letter (Ala-Cys-Asp...) codeaaCode: "0" for single-letter code, "1" for three-letter codenTerm: Optional N-terminal modificationcTerm: Optional C-terminal modificationdisulphideBonds: Optional disulfide bond specification
Output:
- Average Molecular Weight: Mass in g/mol or Daltons
- Extinction Coefficient: For peptide quantification at 280nm (M⁻¹cm⁻¹)
- Theoretical Isoelectric Point (pI): pH at which peptide has no net charge
- GRAVY (Grand Average of Hydropathy): Hydrophobicity index
- Chemical Formula: Elemental composition (C, H, N, O, S)
- Sequence Length: Number of amino acid residues
- Three-letter Representation: Full peptide notation
Use Cases
- Design peptide drugs and therapeutics
- Plan peptide synthesis strategies
- Calculate peptide concentrations spectrophotometrically
- Predict peptide solubility and stability
- Optimize peptide purification conditions
- Design peptide-based biosensors
- Analyze peptide fragments from mass spectrometry
Terminal Modifications
Common N-terminal modifications:
- Acetyl: Blocks N-terminus, increases stability
- Formyl: Common in bacterial proteins
- None: Free amine group (default)
Common C-terminal modifications:
- Amide: Blocks C-terminus, increases stability
- None: Free carboxyl group (default)
Example with modifications:
result = await client.client.call_tool(
"CalculatorPeptideProperty",
arguments={
"sq": "ACDEFG",
"aaCode": "0",
"nTerm": "Acetyl",
"cTerm": "Amide",
"disulphideBonds": ""
}
)
GRAVY Interpretation
- GRAVY < -0.5: Very hydrophilic (highly soluble)
- GRAVY -0.5 to 0: Hydrophilic (soluble)
- GRAVY 0 to +0.5: Hydrophobic (may have solubility issues)
- GRAVY > +0.5: Very hydrophobic (likely membrane-associated or poorly soluble)
Extinction Coefficient Usage
Calculate peptide concentration:
Concentration (M) = Absorbance at 280nm / (Extinction Coefficient × Path Length)
Where path length is typically 1 cm for standard cuvettes.
Note: Extinction coefficient is primarily determined by Trp (5500), Tyr (1490), and Cys-Cys (125) residues.
Additional Peptide Tools Available
ConvertingPeptide2SMILES: Convert peptide sequence to SMILES notationProteinIsoelectricPointCalculator: Calculate pI for longer sequencesComputeAffinity: Predict peptide-protein binding affinityOverlapPeptideLibraryDesign: Design peptide librariesAlanineScanningLibraryDesign: Design mutagenesis librariesTruncationLibraryDesign: Design truncation variants
Signals
- GitHub stars
- 167
- Forks
- 9
- Last commit
- Jun 2026
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peptide-properties-calculation- Source
- github.com/internscience/scp