This is correct in my understanding, although computational uncertainty is different from Heizenberg uncertainty relationship, as argued by the previous poster.You can attempt to describe living things as dynamical systems, but with such systems, you have to make many assumptions (in order to reduce complexity, and even then you're dealing with a non-linear system) in order to get tiny pictures of macro behavior, which may reveal some aspect or a portion of the full picture. With things like this, the system is inherently chaotic, and large changes in emergent behavior come with even the most miniscule numerical approximation (have you heard of the butterfly effect?). So, due to the uncertainty principle (you can measure position or energy but not both at once), there is no way of getting around approximations, so therefore it is impossible to model a real living thing. The only closed solution for an atom is the hydrogen solution, and so every other atom is just an approximation. It took a year to figure out hydrogen after Schrodinger introduced the equation for slow speeds, and it only consists of a proton and an electron. It took ten years to get reasonably approximate solutions to helium, which is just two electrons, two protons, and two neutrons. You can only imagine how much computing power you need to approximate a molecule. The most powerful supercomputer in the world was made in order to model how protiens fold, and it can only yield approximations, as long as enough assumptions are made in order to reduce complexity. The point is, since these efforts end up with mere approximations, and not exact solutions, when you model a living thing, the error in "knowable initial state" increases more than factorialy, and when you simulate this over time, the behavior of the system will be drastically different from reality, and every time you run the model, you'll get different answers. Even if you had a universal computer (a computer that can calculate anything exactly--which isn't physically realizable), you'd still have to contend with the uncertainty principle, and every time you simulate your model, you'll end up with the wrong behavior of the system due to chaos.
This is, as far as my knowledge and understanding of objective truth serves me, objectively true, so you must accept it. As for now, you'll have to trust me, but go ahead and learn all the things needed in order to know why. You made a remark about what I just explained in detail, so I guess you would accept it. I gotta go right now, I'll come back later and finnish replying to your post.
Any way, this dispermits us to make a realistic computational model of matter that can describe exactly how some more complex systems evolve in time.
For that particular reason we have physics, biology, etc., since else, we could all reduce the materialistic science to some fundamental physics theory, and even develop economic models including that of human behaviour at the basis of that.
As we know we can't reduce everything in any meaningfull way to physics, which makes it obvious we need other sciences too.