this post was submitted on 20 Dec 2023
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Uplifting News

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[–] [email protected] 106 points 10 months ago (1 children)

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.

[–] [email protected] 59 points 10 months ago (1 children)

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.

[–] [email protected] 25 points 10 months ago (1 children)

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.

[–] [email protected] 20 points 10 months ago (1 children)

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.

[–] [email protected] 20 points 10 months ago (3 children)

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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[–] [email protected] 48 points 10 months ago (1 children)

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

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[–] [email protected] 26 points 10 months ago (5 children)

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

[–] [email protected] 51 points 10 months ago

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

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[–] [email protected] 18 points 10 months ago

Quick! Produce tons of it and inject them into factory-farm livestock, like we did with all other antibiotics.

[–] [email protected] 17 points 10 months ago

Quick to the beef depository!

[–] [email protected] 17 points 10 months ago

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

[–] [email protected] 16 points 10 months ago (1 children)
[–] [email protected] 9 points 10 months ago (2 children)

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.

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[–] [email protected] 12 points 10 months ago (4 children)

Can't wait for anti-antibiotics movements! 😅

[–] [email protected] 11 points 10 months ago (1 children)

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

[–] [email protected] 7 points 10 months ago

Yeah, just like anti-antifa.. 😅

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[–] [email protected] 7 points 10 months ago

This AI thing would be excellent at hide and seek.

[–] [email protected] 4 points 10 months ago (3 children)

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?

[–] [email protected] 12 points 10 months ago (1 children)

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.

[–] [email protected] 4 points 10 months ago (4 children)

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

[–] [email protected] 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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[–] [email protected] 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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