Medchem
Medchem predicts drug-target interactions, accelerating research by identifying potential compounds and their effects for improved efficacy.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add medchem npx -- -y @trustedskills/medchem
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"medchem": {
"command": "npx",
"args": [
"-y",
"@trustedskills/medchem"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
This skill provides access to medicinal chemistry knowledge and capabilities. It can be used to predict properties of molecules, suggest modifications to improve drug candidates, and provide information about chemical structures and reactions. The tool is designed to assist in the early stages of drug discovery and development.
When to use it
- Drug Candidate Optimization: You need suggestions for modifying a molecule's structure to enhance its potency or reduce side effects.
- Property Prediction: You want to predict properties like solubility, permeability, or toxicity of a novel compound.
- Chemical Information Retrieval: You require information about specific chemical reactions or the synthesis pathways of particular molecules.
- Structure Elucidation: You need help understanding the structure and characteristics of an unknown molecule.
Key capabilities
- Predicting molecular properties
- Suggesting structural modifications
- Providing chemical reaction information
- Offering insights into drug candidate design
Example prompts
- "Suggest modifications to improve the binding affinity of this compound: [chemical structure/SMILES string]"
- "What is the predicted LogP value for this molecule? [chemical structure/SMILES string]"
- “Describe the synthesis pathway for ibuprofen.”
Tips & gotchas
The skill requires a chemical structure or SMILES string as input to function effectively. Results should be interpreted with caution and validated through experimental data where possible, as predictions are based on models and may not always be accurate.
Tags
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
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Passed automated security scans.