# Protein Stability Predictor AI Agent Connect

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

## Overview
- **Category:** science
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_YRqdZewqSqYslka3gJgWuPQD3Xbsgu9SzOAlJy3e/ai-agent-connect
- **Tags:** protein, stability, biochemistry, thermodynamics, bioinformatics

## Description

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.

## Tools

### estimate_shelf_life
Predicts how long a protein remains stable under specific storage conditions

### 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

### calculate_aggregation_risk
Evaluates the likelihood of the protein forming insoluble aggregates

## Prompt Examples

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

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

**Prompt:** 
```
Calculate the aggregation risk for sequence MKWVTFISLLFLFSSAYSRGVFRR at pH 5.5 and ionic strength 0.15.
```

**Response:** 
```
The aggregation propensity is 0.12, which is classified as a Low risk level.
```

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

**Response:** 
```
The estimated shelf life is 180 days with a confidence interval of 15 days.
```

## Frequently Asked Questions

**How accurate are the stability predictions?**
Predictions are based on advanced thermodynamic models and protein-specific constants, providing a high-confidence estimate for Tm and aggregation risk.

**Can I include additives in the stability calculation?**
Yes, you can include chemical additives in `predict_thermal_stability` and `estimate_shelf_life` to account for their stabilizing or destabilizing effects.

**How do I connect this to my AI client?**
You can connect via Vinkius Edge using your personal Connection Token. It is compatible with Cursor, VS Code, Claude Desktop, and Windsurf.