[operator-name]

Sadly even a kinetics level simulation for anything remotely complex is far beyond what current compute is capable of. Even simplified models of basic biological processes are immensity complex, and still potentially incomplete. Just as neural networks do not even attempt to reach the level of molecules, (practical) models must necessarily exist at a much higher abstraction.

Although alphafold is a breakthrough, this is less optimisation, more chaos theory.

[ddxxdd]

I'm not going to try to predict the shape of a protein from a chain of amino acids. I'm not going to try to predict the behavior of a human cell from Schrodinger's equation.

My project's scope is more along the lines of:

1. Taking a look at Roche's list of all biochemical pathways in the human body[0].

2. Creating a 3D model of a human body, assuming that all the molecules in the body interact only in the way that the chart prescribes.

3. Create a database of symptoms and sensations in the body, and use the 3D model to determine all the possible ways that the biochemical pathways could go awry in order to create the ailment.

The way I envision it, the model is simply going after low-hanging fruit.

[0] http://biochemical-pathways.com/#/map/1