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Design proteins, predict folding and affinity, and extend drug R&D analyses.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "refua-mcp" yet — see the docs or source repo.
Based on the target protein functional requirements, generate a set of protein design candidates and provide structural stability, folding feasibility, and key residue notes for each.
A list of protein candidates with design rationale, stability analysis, and key residue explanations.
Evaluate the binding affinity between this protein and the target molecule, compare predicted results across mutation variants, and identify the best candidates for further validation.
A comparative affinity prediction, ranked candidates, and a recommended shortlist of mutants for validation.
Based on the protein design results, add ADMET risk assessment, clinical simulation suggestions, preclinical planning points, and wet-lab steps suitable for automation.
A cross-stage analysis covering downstream drug R&D with an actionable experimental planning summary.
Interactively run and steer FAIRChem and ASE simulations with live monitoring.
Connect AI to life science databases and tools for bioinformatics workflows.
Access biomedical APIs to explore genes, drugs, diseases, and clinical research.
Retrieve predicted protein structures for biomedical research and structural analysis.
Search ChEMBL bioactivity data and compound properties from Claude or ChatGPT.
Access research workflows, retrieval tools, and knowledge resources for faster analysis.