A powerful antibiotic that kills some of the most dangerous drug-resistant bacteria in the world has been discovered using artificial intelligence.

The drug works in a different way to existing antibacterials and is the first of its kind to be found by setting AI loose on vast digital libraries of pharmaceutical compounds.

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“I think this is one of the more powerful antibiotics that has been discovered to date,” added James Collins, a bioengineer on the team at MIT. “It has remarkable activity against a broad range of antibiotic-resistant pathogens.”

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To find new antibiotics, the researchers first trained a “deep learning” algorithm to identify the sorts of molecules that kill bacteria. To do this, they fed the program information on the atomic and molecular features of nearly 2,500 drugs and natural compounds, and how well or not the substance blocked the growth of the bug E coli.

Once the algorithm had learned what molecular features made for good antibiotics, the scientists set it working on a library of more than 6,000 compounds under investigation for treating various human diseases. Rather than looking for any potential antimicrobials, the algorithm focused on compounds that looked effective but unlike existing antibiotics. This boosted the chances that the drugs would work in radical new ways that bugs had yet to develop resistance to.

Jonathan Stokes, the first author of the study, said it took a matter of hours for the algorithm to assess the compounds and come up with some promising antibiotics. One, which the researchers named “halicin” after Hal, the astronaut-bothering AI in the film 2001: A Space Odyssey, looked particularly potent.

Writing in the journal Cell, the researchers describe how they treated numerous drug-resistant infections with halicin, a compound that was originally developed to treat diabetes, but which fell by the wayside before it reached the clinic.

Tests on bacteria collected from patients showed that halicin killed Mycobacterium tuberculosis, the bug that causes TB, and strains of Enterobacteriaceae that are resistant to carbapenems, a group of antibiotics that are considered the last resort for such infections. Halicin also cleared C difficile and multidrug-resistant Acinetobacter baumannii infections in mice.

To hunt for more new drugs, the team next turned to a massive digital database of about 1.5bn compounds. They set the algorithm working on 107m of these. Three days later, the program returned a shortlist of 23 potential antibiotics, of which two appear to be particularly potent. The scientists now intend to search more of the database.

Stokes said it would have been impossible to screen all 107m compounds by the conventional route of obtaining or making the substances and then testing them in the lab. “Being able to perform these experiments in the computer dramatically reduces the time and cost to look at these compounds,” he said.

Barzilay now wants to use the algorithm to find antibiotics that are more selective in the bacteria they kill. This would mean that taking the antibiotic kills only the bugs causing an infection, and not all the healthy bacteria that live in the gut. More ambitiously, the scientists aim to use the algorithm to design potent new antibiotics from scratch.

Source: Powerful antibiotic discovered using machine learning for first time | Society | The Guardian

This is a hugely holier than thou article written by a strident anti-abortionist, but it’s quite interesting in that a) you can clone your puppy commercially and b) it’s absolutely not a perfected science.

You have five days after your pet dies to extract its genetic material for cloning, according to the Seoul-based Sooam Biotech Research Foundation, which offers dog and cat cloning services. The company recommends wrapping the deceased in wet blankets and throwing them into the fridge before you send the package. From there, scientists will harvest tissue and eggs, usually from slaughterhouses, then transfer them into surrogate mothers via in vitro fertilization.

It can take dozens of artificial inseminations into a mother animal’s womb to get a single egg to gestation. When that mother finally does give birth — there are scores of these surrogate mothers whose only job is to be filled with needles until they conceive, and then do it again — what’s born might be a genetic copy of the original, but it isn’t a perfect copy.

When I picked up Onruang’s pups and examined them head to hock — they weighed maybe three pounds a piece — I saw surprising amounts of subtle variations in markings and size.

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When an animal is cloned, the donor — the mother carrying the clone — contributes extremely low levels of mitochondrial DNA. “That’s the variation which can account for differing color patterns and other unknowns,” says Doug Antczak, a veterinary scientist at Cornell University who specializes in horse genetics.

What’s eventually passed to the cloned pet buyer is a reasonable facsimile, something good enough to the naked eye that they’ll say: “That’s my dog!” And here’s where the scale of this production might — or should — give pause.

Many clones are born with defects and genetic disorders, and since those imperfections aren’t what their buyer is spending tens of thousands of dollars on, they end up discarded.

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if that cloned dog does make it through the gauntlet — but is missing the spot over its eye that a deceased pet had, for instance — it still faces a swift death via euthanasia, just another pile of genetic material to harvest.

“There’s too many mistakes, too many stillbirths, deformities, and mutations,” warns Chris Cauble, a Glendale, California, veterinarian whose mobile service offers tissue collection for cloning pets.

Source: People Are Killing Puppy Clones That Don’t Come Out ‘Perfect’