Great achievement, although I think it's interesting that this Nobel prize was awarded so early, with "the greatest benefit on mankind" still outstanding. Are there already any clinically approved drugs based on AI out there I might have missed? In comparison, the one for lithium batteries was awarded in 2019, over 30 years after the original research, when probably more than half of the world's population already us…
Chemistry Nobel: Computational protein design and protein structure prediction
201–210 of 343 posts
Re: Chemistry Nobel: Computational protein design and protein structure prediction
#202I wasn't expecting to see David Baker in the list (just Demis and John). But I'm really glad to see it... David is a great guy. At CASP (the biannual protein structure prediction competition) around 2000, I sat down with David and told him that eventually machine learning would supplant humans at structure prediction (at the time Rosetta was already the leading structure prediction/design tool, but was filled with a…
Re: Chemistry Nobel: Computational protein design and protein structure prediction
#203> Oppenheimer was nominated for the Nobel Prize for Physics three times[...] pondered why he was never bestowed the honor. > “To understand this [...] you have to first examine the man’s academic life before and after the war.” Quote from: https://discover.lanl.gov/news/0609-oppie-nobel-prize/ Not anymore. You're not required to know or have studied Chemistry to get a Nobel in Chemistry.
Re: Chemistry Nobel: Computational protein design and protein structure prediction
#204[flagged]
Re: Chemistry Nobel: Computational protein design and protein structure prediction
#205Earlier quoted context omitted.
In both academic and industrial settings, I've seen an initial spark of hope about AlphaFold's utility being replaced with a resignation that it's cool, but not really useful. Yet in both settings it continued as a playing card for generating interest. There's an on-point blog-post "AI and Biology" ( https://www.science.org/content/blog-post/ai-and-biology ) which illustrates why AlphaFold's real breakthrough is not…
That article explains why AI might not work so well further down the line biology discoveries, but I still think alphafold can really help with the development of small molecule therapies that bind to particular known targets and not to others, etc.
Docking ligands doesn't make for particularly great structures, and snapshot structures really miss out on the important dynamics.
So it's hard for me to imagine how alphafold can help with small molecule development (alphafold2 doesn't even know what small molecules are). I agree it totally sounds plausible in principle, I've been in a team where such an idea was pushed before it flopped, but in practice I feel there's much less use to extract from there than one might think.
EDIT: To not be so purely negative: I'm sure real use can be found in tinkering with AlphaFold. But I really don't think it has or will become a big deal in small drug discovery workflows. My PoV is at least somewhat educated on the matter, but of course it does not reflect the breadth of what people are doing out there.
Re: Chemistry Nobel: Computational protein design and protein structure prediction
#206Re: Chemistry Nobel: Computational protein design and protein structure prediction
#207Earlier quoted context omitted.
It’s fascinating how the affluent backgrounds of many famous scientists and entrepreneurs are downplayed. Eg Warren Buffet, Jeff Bezos, etc
If you gave the $300,000 Bezos got from his father to 10,000 random Americans in 1994, none of them would have created a company the equivalent of Amazon's scale.
The way I like to put it is that both of the following are true:
1. Bezos is uniquely talented and driven, and his success depended on that
2. Bezos' success also depended on him having an uncommon level of access to capital at a young age.
The reason I like to say "both of these are true" is that so often today I see "sides" that try to argue that only one is true, e.g. libertarian-leaning folks (especially in the US) arguing that everything is a pure meritocracy, and on the other side that these phenomenally successful people just inherited their situation (e.g. "Elon Musk is only successful because his dad owned an emerald mine")
Re: Chemistry Nobel: Computational protein design and protein structure prediction
#208To me this is more controversial than Geoffrey Hinton winning it for physics.
Re: Chemistry Nobel: Computational protein design and protein structure prediction
#209I think it's still too early to know if AlphaFold is a massively overfitted statistical model that will utterly fail on novel structures.
The prize winners are ultimately selected by a group of mid-age to old professors. And to tell the truth (I work at a research institute in Stockholm), some of the old folks seem to have huge FOMO. They know that they cannot keep up themselves, they have no idea (and no way of finding out) who is actually good and who is just pretending, which leads to recruitment of an 'interesting' bunch of young group leaders. Som…
Re: Chemistry Nobel: Computational protein design and protein structure prediction
#210Well deserved! Especially for Alphafold. It is the most impactful invention in structural biology this century along with Cryo-EM.
It doesn't deserve a Chemistry Nobel prize. It deserves a prize about computers.
Interesting. Any more indepth analys about this?
Btw. you don't just build AlphaFold by doing only 'computers'. Take a look at any good docmentary about it and you will see that they do discuss chemistry on a deep level