3 ms·
Sounds interesting. Since there is already Alphafold, I would assume that your solution concentrates on Alphafold's main weakness: the restriction on cristal st
by Rochus 2y ago
Sounds interesting. Since there is already Alphafold, I would assume that your solution concentrates on Alphafold's main weakness: the restriction on cristal structures and steady state, i.e. a single structure snapshot in an unrealistic environment. I would assume that an MD based solution like yours would be able to simulate the movement of structure parts and its interaction with a specific environment. The major challenge of MD so far (as far as I remember) was the computability of decently large proteins in reasonable time. Can you please explain how your solution improves on this? Do you have publications?
- samsamlh 2y agoI don’t have publications, I was trying to solve the TSP problem and found a fundamental building block of reality. It applies to many fields. Here is the method to apply in 3D coordinates of the protein, everything else aligns naturally I did this post https://www.reddit.com/r/numbertheory/s/UBrRPeIGrx https://www.reddit.com/r/numbertheory/s/UBrRPeIGrx I’m broke so if you make money out of this BTC bc1qqu8zyehh8r6j84w6hm2jkzcaex0rgfv4zy837p
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- Rochus 2y agoWhat is your qualification in molecular biology and/or biophysics?
- samsamlh 2y agoHigh School, I inferred everything with the maths behind the transforms. AI helped a lot. Do you successfully used the method?
- Rochus 2y agoWell, then I recommend that you invest a few more years in university level studies to understand the subject matter, and then again try to provide an efficient solution to the protein folding problem using MD. Good luck.
- samsamlh 2y agoTry to understand the maths, apply the circle / sphere transform and you’ll see that naturally it converges to a stable state. MD is the hard way, spherical transform is the easy way (nature uses it) My theory on maths shows that any shape can have its points on a circle edge and midpoints on that same circle edge morphing showing all possible paths through radius scaling (P=C). It’s all about constraints. Transforming the protein through 3D coordinates aligns all forces so it is fundamentally different than MD, it’s a geometric solver, so it is super fast!