MCP For Claude Marketplace
Protein Secondary Structure Predictor

Protein Secondary Structure Predictor MCP Connector for Claude

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Predict protein secondary structures like alpha-helices and beta-sheets from amino acid sequences.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner
More Details Connect to Claude

This MCP server provides specialized tools for analyzing protein primary sequences to predict their secondary structural elements. Using established scientific methods, it calculates the distribution of alpha-helices, beta-sheets, and coils. Researchers can use predict_structure_chou_fasman for statistical propensity-based analysis or predict_structure_gor for information theory-based predictions. The tool also allows for direct comparison of these methods using compare_prediction_methods to identify specific structural biases.

proteinamino-acidstructurebioinformaticsbiology

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

get_amino_acid_propensities

Retrieves the specific propensity values for amino acids used in secondary structure prediction

predict_structure_chou_fasman

Predicts the secondary structure of a protein sequence using the Chou-Fasman statistical propensity method

predict_structure_gor

Note that GOR requires a minimum sequence length for window calculation. Predicts the secondary structure of a protein sequence using the GOR (information theory) approach

compare_prediction_methods

Compares the results of Chou-Fasman and GOR methods for a single sequence

See how to talk to your AI agent using Protein Secondary Structure Predictor.

Predict the secondary structure for the sequence MVLSAALALAL.

The predicted structure for the sequence MVLSAALALAL is 45% alpha-helix, 15% beta-sheet, and 40% coil.

Compare the Chou-Fasman and GOR predictions for the sequence MAVS.

Chou-Fasman predicts 25% alpha-helix and 25% beta-sheet, while GOR predicts 30% alpha-helix and 20% beta-sheet. The difference in helix is 5% and the difference in sheet is 5%.

What are the propensity values for the chou_fasman method?

The Chou-Fasman propensity values include: Alanine (A) has a high helix propensity, while Proline (P) acts as a helix breaker.

The server implements the Chou-Fasman statistical propensity method and the GOR (Garnier-Osguthorpe-Robson) information theory approach.

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