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Modeling a creature is so damned hard. Take a single celled organism and break it down to the most basic one you can imagine: I'm willing to bet a model of its
by TheBruceHimself 2y ago
Modeling a creature is so damned hard. Take a single celled organism and break it down to the most basic one you can imagine: I'm willing to bet a model of its interaction with drugs would take decades to be useful in any manner. We're only just getting __ok__ models of how protiens fold and even then within specific temperature boundaries. Even then the error rate is high enough that they'd be a lot of issues. You cant just have 5% of your protiens being wrong. Even if we assume perfect protien folding models it's another problem to model correctly how they'll interact wit X drug or eachother. If you want to start somewhere, try modeling hemoglobin. It's got a simple job: Move oxygen through blood, dump it, and pick up CO2. Yet it's fussy as hell. if the protien is slightly off it'll become useless. And you can't cheat because plenty of diseases that are all about homoglobin being "slightly off" so you can't just hack it so all your homoglobins are perfect magic carriers, you'd have to model it perfectly and watch how drugs may interact with it.
Every step of this modeling would be hellish. Not to mention just how much stuff you'd need to model and have simulated in parallel for even the most basic of creature simulation. Parallelization is trivial for nature. Once it figured out how to create one cell the the next 2 or a trillion was easy. In computer simulations the first model just as resource intensive to simulate as the next... simulating a trillion cells? Ooofff. You'd be lucky to get a second of simulated time after a months run.