Eagerly awaiting reasonattlm's take on this.
Eagerly awaiting reasonattlm's take on this.
From what I read, a lot of the things the body does, which have aging as a side effect, are intended to block cells from becoming cancerous.
For example a senescent cell - it might be damaged, and if it dived it might become a cancer, so better stop it from dividing. But we still need it, so don't kill it off.
Now you might think - actually, let's kill it and let some other cell divide and replace it. But that creates more cell division, which are more opportunities for cancer.
Basically, it's a delicate balance.
I suspect a different balance is also possible (there are animals without cancer for example), but the hard part is you must change all the parts at once (into the new balance), and simply stopping one part of the process will cause cancer.
This is going to make the research very hand without truly understanding all the moving parts, and joining all the different treatments into a single working whole.
What's needed is a fast-living animal, that ages, and gets cancer, in the same way humans do. Then you can just experiment without understanding.
A simulated human?
(I know that's A Lot of computing power, but maybe an algorithm like HashLife could make this possible by, say, 2100?)
For the chemical simulation side of things, it would take many centuries of continued Moore's Law progress to make today's most accurate algorithms for fully quantum chemistry run fast enough. And the wild ride of Moore's Law already appears to be closer to its end than its beginning. We'd need fundamental algorithmic breakthroughs to make it feasible without relying on better simulation hardware solving the problem. That might be possible, but I don't when/how/if such algorithms may appear.
On the problem of getting a ground-truth molecular map of a cell in the first place, we know that there are many gaps in current models. We're not sure where all of them are. Even if you had the fast, efficient, vast molecular simulation capacity I sketched above, it would still take a lot of experiment/simulation comparisons to be sure that all the biologically relevant features had been captured in the original model.
Even now I'm probably badly understating all the problems on the biology side. I worked at the interface of chemistry, biology, and chemical physics, but I was more familiar with the software/physics side of things. I learned just about enough biology to be useful in my role and to be grateful that even my most complicated debugging sessions didn't involve 3 billion years' worth of undocumented legacy code running on wet nanotechnology.
And after listening to one sleep-inducing waterfall video for a single long night of sleeping the next day about 2/3 of my Youtube homepage's suggestions are about soothing, meditative, nature videos... what a laugh.
At a minimum it seems that we are on the right track. Pretty exciting times.
Very rarely are things in biology so simple. Everytime we thought something was useless in the past (junk DNA, appendix, tonsils, ...) it turned out that removing it causes damage somewhere else.