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[-] xkforce@lemmy.world 106 points 10 months ago

The article (and what I can access of the paper it is based on) doesn't really give any details as to what this class is, how it works etc. All the interesting parts about this aren't mentioned.

[-] krellor@kbin.social 59 points 10 months ago

It sounds like they trained a classification model using 39,000 molecules with known reactivity to MRSA. The molecules are vectorized text representations of the structures. Once trained, they can run arbitrary molecules through the model and see which ones are predicted to have antibiotic properties, or at least MRSA reactivity.

They likely fed in molecules from families of structures that seem likely to contain an antibiotic but are too numerous to manually test them all. They get a prediction of which ones are likely to have the properties they want, and then start the slow process of creating and testing the molecules in the lab.

[-] xkforce@lemmy.world 25 points 10 months ago

I get what they did (its been something a lot of groups have been wanting to do for years) but I am curious what molecule specifically they found that worked especially well. i.e What does this thing look like? What is the new antibiotic's mechanism of action? None of those latter details are discussed. Its something we can only guess at.

[-] krellor@kbin.social 20 points 10 months ago

It sounds like they are moving forward with clinical testing in partnership with a bio company, so I'm sure they withheld the information anticipating a patent. The results of this paper was the validation of the explainable AI model which identified candidate classes of compounds.

[-] TonyTonyChopper@mander.xyz 20 points 10 months ago

Wow I love science. I love that someone owns the exclusive rights to sell new drugs at whatever price they want

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[-] HubertManne@kbin.social 48 points 10 months ago

ai is finding antibiotics for diseases ai hasn't even created yet (I kid, I kid)

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[-] Red_October@lemmy.world 27 points 10 months ago

Finally a good use of AI, instead of using it to replace artists.

[-] zik@lemmy.world 51 points 10 months ago

Yeah but think of all the bacteria it's putting out of work.

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[-] Sirico@lemmy.world 18 points 10 months ago

Quick to the beef depository!

[-] Guajojo@lemmy.world 17 points 10 months ago

First Check if it doesn't make our fingers merge into a stub

[-] HeyThisIsntTheYMCA@lemmy.world 16 points 10 months ago
[-] FlyingSquid@lemmy.world 9 points 10 months ago

My dad was allergic to practically every antibiotic. He only developed the allergy in his senior years. It was a big problem for him. Even if the antibiotic seemed to be working okay, he had to take a lot of Benadryl just in case and keep an epi pen around.

[-] Smoogs@lemmy.world 3 points 10 months ago* (last edited 10 months ago)

It’s very common as you hit a second puberty and you’re body is suddenly like ‘nah’.

It’s like a warranty is up or something.

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[-] WindowsEnjoyer@sh.itjust.works 12 points 10 months ago

Can't wait for anti-antibiotics movements! 😅

[-] zalgotext@sh.itjust.works 11 points 10 months ago

Anti-antibiotics... Isn't that just biotics? Like from Mass Effect? IDK, could be cool 👀

[-] WindowsEnjoyer@sh.itjust.works 7 points 10 months ago

Yeah, just like anti-antifa.. 😅

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[-] Kiwi_Girl@lemmy.blahaj.zone 7 points 10 months ago

This AI thing would be excellent at hide and seek.

[-] ChicoSuave@lemmy.world 4 points 10 months ago

Does this AI use the same process for piecing together things as LLMs do for art and writing? Is this a drug we have known about but not yet applied as an antibiotic or a whole new compound?

[-] krellor@kbin.social 12 points 10 months ago

It doesn't sound like it but they don't have enough detail in the article to say.

It sounds likey they are using a classification model that takes a vectorized text representation of molecules and classifies or scores them by their expected properties/reactivity. They took 39,000 molecules with known reactivity to MRSA to train the model, I assume to classify the structures. Once trained they can feed in arbitrary molecules into the trained model and see which ones are predicted to have antibiotic properties, which they can verify with bench work.

They likely fed in molecules from classes of likely candidate structures, and the model helped focus and direct the wet work.

I'm not up on the latest, but years ago I helped a similar project using FPGAs running statistical models to direct lab work.

[-] Jerkface@lemmy.world 4 points 10 months ago

I'd be interested to know why FPGAs were selected for this application. I'm not especially familiar with their use cases.

[-] krellor@kbin.social 6 points 10 months ago

This was years ago before GPU processing really took off, and we wanted the performance, but also, wanted to see if we could develop an affordable discrete lab device that could be placed in labs to aid in computationally directed bench work. So effectively, testing the efficacy of the models and designing ASICs to perform lab tests.

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[-] Willy@sh.itjust.works 7 points 10 months ago

llms have progressed beyond cut and paste way more than a year ago. they have shown understanding of what items are and how they behave and interact. I know it's popular here to call it a parrot or whatever but most people don't have access to the high level stuff and most seem afraid/snobby/parroting things themselves.

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this post was submitted on 20 Dec 2023
596 points (97.9% liked)

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