# PeptideDesignerAI

- **Event:** [Gemini 3 서울 해커톤](https://cerebralvalley.ai/e/gemini-3-seoul-hackathon)
- **When:** Sat, Feb 28 at 9:00 AM – 10:00 PM (GMT+9)
- **Where:** 서울 Seocho District, Olympic-daero, 2085-14 세빛둥둥섬
- **Team:** [Je-Hoon Song](https://cerebralvalley.ai/u/jhs)
- **GitHub:** https://github.com/jehoons/gemini3-hackerton-2
- **Demo video:** https://www.youtube.com/watch?v=I9LjP1c_fp8
- **Gallery:** https://cerebralvalley.ai/e/gemini-3-seoul-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/gemini-3-seoul-hackathon/hackathon/gallery/5

In the field of drug discovery, there has been a persistent challenge where designing initial testable drug candidates requires a significant amount of time. To address this, we aim to develop a workflow that integrates high-performance AI technologies, such as Gemini, to drastically shorten this process. While the workflow's feasibility has been confirmed, physical simulations using AlphaFold and RFdiffusion can take several hours to days, making it difficult to complete within the limited timeframe of the hackathon. Therefore, we utilized a pre-computed cache to visualize the binder peptides.

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Markdown version of https://cerebralvalley.ai/e/gemini-3-seoul-hackathon/hackathon/gallery/5. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt