Initial Drug Candidate Generation

planningChallenge

Prompt Content

Your task is to generate 5-10 initial, diverse small-molecule drug candidates that could act as multi-target agonists for GLP-1R, GIPR, and GCGR. Use Llama 3.1 via Groq and Semantic Kernel to propose these structures in SMILES format, along with basic physiochemical descriptors (MW, cLogP). Document your prompt engineering strategy.

Try this prompt

Open the workspace to execute this prompt with free credits, or use your own API keys for unlimited usage.

Related Prompts

Explore similar prompts from our community

Predict Properties and Track with W&B

implementation

Iterative Optimization with Semantic Kernel and Tavily

implementation

Final Candidate Selection and Justification

testing

Usage Tips

Copy the prompt and paste it into your preferred AI tool (Claude, ChatGPT, Gemini)

Customize placeholder values with your specific requirements and context

For best results, provide clear examples and test different variations