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I Used AI To Cure Cancer (Tutorial)

I asked Claude to find a cancer protein with no known cure and design a potential cure (that it codenamed "DualStrike"). Then I used Google's AlphaFold 3 to simulate it's effectiveness. The results showed that DualStrike (a novel treatment for Lymphoma [Blood Cancer]) can theoretically increase the 5 year survival rate of from 80% up to 90-95%. Finally, I asked ChatGPT's o1-preview to write an end-to-end research paper on the process to enable any elementary biochemist to verify the in-silico results with a wet-lab. In this video, I'll explain each step I took so that you can do the same for your own creative ideas around Scientific discovery. The year is 2025 and AI is truly democratizing Science to a level where any human on Earth with enough motivation can make a meaningful contribution using AI tools effectively. I hope this video inspires Wizards around the world to use AI for Scientific discovery. Enjoy!

Code & Research Paper:

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⏱️ **Chapters:**
0:00 Introduction: Using AI to Design a Novel Cancer Treatment
1:16 Introducing Sponsor: HPC AI's Computing Cluster
1:59 The Big Deal: Introduction to AlphaFold
2:06 Evolution of AlphaFold: From Version 1 to 3
2:59 Finding a Missing Protein in the AlphaFold Database
4:17 Identifying the NPM-ALK Fusion Protein
4:43 Generating the FASTA Sequence with Claude
5:41 Understanding Protein Folding and AI's Role
6:35 Designing a Potential Treatment with AI
7:03 Developing a Dual-Site Inhibitor with Claude
7:54 Generating 3D Models with AlphaFold
8:38 Testing the Inhibitor with Molecular Docking Software (MolModa)
10:30 Generating the Research Paper and Code with o1-preview
13:27 Prompt Hack: Improving AI Outputs
13:41 Utilizing HPC AI's Computing Cluster for Experiments
14:31 Conclusion and Encouragement to Innovate with AI
15:14 Outro and Closing Remarks

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AlphaFold 1 explained:

AlphaFold 2 explained:

I Asked O1-Preview to reproduce O1-Preview:

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