Transcription
But once I realized, uh, sort of in that meeting, actually, that how quickly, uh, not only how accurately we could fold the proteins, but how quickly, you know, in a matter of seconds.
And then I was just sort of doing the back-of-the-envelope calculation, like how many proteins are there known to science, known in nature? 200 million. And then how many computers do we have? And, uh, how many would we need? And then, you know, put... And then if we folded one every 10 seconds, and I sort of realized, sort of in the middle of that meeting, while I was fiddling on my phone, that it would be possible in a year.
And so, why go to all the effort of building the servers and the databases and, and, you know, the emails, uh, uh, um, client, and all of that, when we could just actually fold everything ourselves, everything anyone could ever request and ever want, and then put it on a database somewhere for free for all the scientists in the world to use? So, it just suddenly hit me.
"We should just do all that."
"No, it's way better. Why don't we just do that?"
"Well, so that's one of the options, like we..."
"Right."
"Uh, you know, there's this..."
"We should just run. We should. That's a, that's a great idea. We should just run every protein in existence. And then release that."
Suddenly, all these things must have been going on the back of my mind, and I suddenly realized that that would be the obvious thing to do, and it would be actually probably less effort than standing up the server. So, actually, it would save us time.