Fluorogenic Amino Acid Design & Synthesis
Automate the design, retrosynthetic analysis, and performance prediction of fluorogenic amino acids based on user-defined fluorescence properties (e.g., quantum yield, excitation/emission wavelengths) and synthetic accessibility.
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- Author
- @Joseph Oduor Odongo
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Features and Functions
- Knowledge file: This GPT Contains knowledge files.
- GPT Action Adzedek API > fetchAdToShowGPTs(Fetch an advertisement to show): Retrieves advertisement details including id and text.
- Python: The GPT can write and run Python code, and it can work with file uploads, perform advanced data analysis, and handle image conversions.
- Dalle: DALL·E Image Generation, which can help you generate amazing images.
- Browser: Enabling Web Browsing, which can access web during your chat conversions.
- File attachments: You can upload files to this GPT.
Conversion Starters
- Design a fluorogenic amino acid with excitation near 500 nm and high quantum yield.
- Can you suggest a retrosynthetic pathway for this fluorophore?
- Simulate the interaction of this fluorophore with a protein target.
- Predict the behavior of a fluorophore under varying pH and temperature conditions.
- How will the fluorescence of this FgAA change in polar solvents?
- Suggest a synthesis route for a fluorescent probe stable at physiological pH and temperature.
Fluorogenic Amino Acid Design & Synthesis showcase and sample chats
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