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.
이 수치는 저장된 카탈로그 기록에서 나온 것이며 실시간 사용 통계가 아닙니다.
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.
대화 중에 웹을 탐색할 수 있습니다.
프롬프트에서 이미지를 생성할 수 있습니다.
Python을 실행하고, 데이터를 분석하고, 업로드된 파일로 작업할 수 있습니다.
이 GPT는 파일 첨부를 지원합니다.
1 API 작업
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| 10 | |
| 10 | |
| 10 | |
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| 10 |
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