(2023-08-15, 01:59 PM)David001 Wrote: ...
AIs don't spit out analytic expressions (anyway, that issue doesn't seem relevant here) an AI simply prints out what it 'thinks' is a most probable answer based on information - including information on the internet.
3) Unless you start with a set of novel proteins for which 3-D structure have not been determined, and which is then subject to 3-D structure determination after the AI has printed out its results, there is every chance the AI obtains information off the internet - which basically means that it cheats. Remember that AI's were supposed to be super-competent drivers, until they were tested on the roads and a number of pedestrians and others had paid a very heavy price.
David
I understand your skepticism, but AlphaFold was actually trained on a dataset of around 170,000 known amino acid sequences and their corresponding folded 3D structures, taking into account factors such as pressure, temperature, and pH conditions. The notion that it somehow "Googles" information when presented with a new amino acid sequence is indeed far-fetched, to put it mildly. In fact, its high accuracy rate (around 99%) suggests that there may be underlying principles governing protein folding, which is essentially what AI aims to capture: approximating complex, unknown multivariate functions.