Mark Peplow in Nature:
Many of the molecules in our bodies are ‘chiral’ — that is, they take one of two mirror-image forms, like right-handed and left-handed gloves. Proteins are built from left-handed amino acids, and DNA twists like a right-handed screw, for example.
Studying mirror-image versions of such molecules could help to unpick how this handedness emerged, some researchers say. And because the body’s enzymes and immune system might not as readily recognize right-handed amino acids or left-handed DNA, such molecules could resist degradation — making them useful as therapeutic drugs. This approach has already shown clinical success: in 2017, for example, the US Food and Drug Administration approved a small peptide containing mirror-image amino acids, called etelcalcetide, to treat people with chronic kidney disease.
But this ability to evade degradation could be a double-edged sword. If an entire mirror-image cell were ever made, it might proliferate uncontrollably in the body or spread unchecked through the environment, some researchers say.
This is why scientists are meeting in Manchester this week.
More here.
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Steven Pinker: I’m using it in a technical sense, which is not the same as the everyday sense of conventional wisdom or something that people know. Common knowledge in the technical sense refers to a case where everyone knows that everyone knows something and everyone knows that and everyone knows it, ad infinitum. So I know something, you know it, I know that you know it, you know that I know it, I know that you know that I know it, et cetera.
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The Ig Nobels were founded in 1991 by Marc Abrahams, editor of satirical magazine
As its September meeting approaches, the US Federal Reserve is once again coming under political pressure to lower rates. President Donald Trump has been calling for such a move for months – sometimes demanding cuts as large as
My life’s mission has been to create safe, beneficial AI that will make the world a better place. But recently, I’ve been increasingly concerned about people starting to believe so strongly in AIs as conscious entities that they will advocate for “AI rights” and even citizenship. This development would represent a dangerous turn for the technology. It must be avoided. We must build AI for people, not to be people.
An omnipresent feature of liberal chronicles of the occupation is a fixation on how much was wasted: the $2.13 trillion spent and the 176,000 people who died. Surveying the destruction wreaked on Afghanistan, these accounts conclude, unsurprisingly, that the war was a total failure. The Taliban are once again in control of Kabul. Al Qaeda runs gold mines in Badakhshan and Takhar provinces. The Afghan army is a distant memory. This humiliation is often presented as a mystery. How could so much money—more than was spent on the Marshall Plan—and “goodwill,” in the New Yorker’s words, have achieved so little?
I
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After our entire book club, with unprecedented unanimity, pronounced