Even if we could estimate all the molecules, cells, and processes of a biological entity to a similar precision as gravity, the errors would compound exponentially.
I think that medicine and drug regulations do not use the same conceptual framework as biology. Medicine and drug regulations are pragmatic, hence the concept of clinical trial: They test if something works while minimizing the confounding factors. They do not try to understand the biology down to cellular force fields of the animal model.
So why not have the same approach with software? Anyway, drugs authorities have already approved drugs based on software simulations [0, 1].
[0] https://www.fda.gov/media/163156/download
[1] https://www.fda.gov/science-research/about-science-research-...
The simulations you have linked aren't on the same scale. The paper uses the phrase "are powerful tools that COMPLEMENT traditional methods for gathering evidence"
And I'd argue this is more like detailed analysis rather than a simulation. It's like hoping you've found an immersive computer world like The Matrix, but it's a 2D side-scolling video game like Mario Bros.
I'd also question "approved drugs based on..." and instead argue they "didn't reject drugs based on..."
Your instincts are good - if we could simulate people in silico we could basically understand and cure every disease - but the scale of such a simulation is literally (not figuratively!) astronomical. Biological systems are way, way, way more complex than they appear and our computers are (currently) hopelessly inadequate.
But I think what we're looking for here is something closer to emulation. In the same way that video game console emulators seek to reproduce the exact bugs that the original hardware produced - the value here does not come from abstracting away the lowest levels of behavior.
I totally agree.
You don't need an atomistic DFT simulator to get a good enough simulation of fluid dynamics, enough to design jets or rockets that go into space.
You mean cell chemistry?