Protein Stability Predictor

Protein Stability Predictor MCP Connector for Claude

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Predict protein thermal stability, aggregation risk, and shelf life.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides specialized tools for analyzing the thermodynamic and kinetic stability of proteins. Use predict_thermal_stability to find the melting temperature (Tm) under specific pH and temperature conditions. Assess the likelihood of protein precipitation using calculate_aggregation_risk. Predict storage duration with estimate_shelf_life, and optimize buffer compositions using evaluate_formulation_impact to maximize stability.

proteinstabilitybiochemistrythermodynamicsbioinformatics

4 tools expose this connector's capabilities to your AI agent.

calculate_aggregation_risk

Evaluates the likelihood of the protein forming insoluble aggregates

evaluate_formulation_impact

Compares how different buffer compositions affect the protein's stability

predict_thermal_stability

Determines the temperature at which a protein undergoes significant unfolding

estimate_shelf_life

Predicts how long a protein remains stable under specific storage conditions

See how to talk to your AI agent using Protein Stability Predictor.

What is the melting temperature of the protein sequence MKWVTFISLLFLFSSAYSRGVFRR for a pH of 7.0 at 37 degrees Celsius?

The predicted melting temperature (Tm) is 62.5°C with a stability score of 0.85.

Calculate the aggregation risk for sequence MKWVTFISLLFLFSSAYSRGVFRR at pH 5.5 and ionic strength 0.15.

The aggregation propensity is 0.12, which is classified as a Low risk level.

How long will this protein stay stable at 4 degrees Celsius and pH 7.4 if I add Sucrose?

The estimated shelf life is 180 days with a confidence interval of 15 days.

Predictions are based on advanced thermodynamic models and protein-specific constants, providing a high-confidence estimate for Tm and aggregation risk.

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