I could not find one research study using any of the peptides in the RADVAC white paper that found they inhibited SARS-CoV-2 infection in cells, let alone animals or humans.
All those peptides come from in silico studies: “the computer said they ought to bind to various viral proteins.” Plus a lot of theory/mechanism argument.
You have the legal, and IMO, the moral, right to experiment on yourself. But I don’t think this is very likely to work.
Peptide vaccines *as a class* do have better evidence for effectiveness, and a peptide nasal spray vaccine *with a peptide not on the RADVAC list* did prevent COVID19 infection in ferrets. But that doesn’t imply much about whether THESE peptides will work or be safe.
“Peptide” just means “sequence of amino acids.”
Would you conclude that, because *some* lines of code can navigate a rocket to the moon, that *your* code is pretty likely to navigate a rocket to Mars?
I’m not coming from a preachy “trust the authorities” place. Lots of non-FDA-approved things have WAY stronger evidence than this. LSD may be illegal but we have tons of experiments in humans and animals and decades of use by the public documenting its effects and (low) risks.
“Take a random peptide that has never been tested on any living thing” is not at all the same thing as “take a well-known, well-studied recreational drug”, as far as risk goes.
There are epitopes to the SARS-CoV-2 virus that are found in actual convalescent patients, are associated with stronger immune responses, and neutralize the virus in vitro. nature.com/articles/s4146… Unless I'm misreading, these are *also* not on the RADVAC list.
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The most irritating thing about smartphones, to me, is that it’s more difficult to switch from one webpage to another on mobile than in a desktop browser. It makes it hard to do something like “take notes including links from a variety of websites.”
The second most annoying thing is that I can’t log into sites on my phone if their passwords are the long forgettable strings of letters and numbers that my laptop password manager remembers for me.
The third most annoying thing is that i’m slightly slower at typing on a phone than a keyboard.
The trend in deep learning for a lot of applications, for most of the past decade, seems to have been “you get out what you put in” — performance gains are proportional to increases in computing power.
I haven’t found anything I’m confident is a exception to that trend, in the direction of “performance grows faster than compute”. I’d be willing to bet that there aren’t any.
As long as that continues, it seems to me that the main question is how fast the cost of flops drops and how long it will continue to be profitable to keep buying more & better hardware.
This post on Roman-era peasants acoup.blog/2020/07/24/col… has made me question how I think about technology and economic growth.
My model had been something like “humanity used to be poorer because nobody had yet invented the technologies that could make more food and other goods with less labor.”
But this post is saying that a Roman peasant probably wouldn’t *want* a technique that made his yields 10% larger even if a time traveler magically handed it to him.
Keep in mind this is still 8 years from “idea for research program” to “drug in preclinical testing”. Biology is slow even if you have exceptional talent & drive.
The drug candidate is an “antisense oligonucleotide”, which is actually a fully general strategy for treating genetic diseases. So far seven such therapies have been approved.
If its wavelength is <230 nanometers, it doesn't damage human tissue, so you can keep the lights on when there are people around and sterilize the air.
COVID-19 is droplet-borne, so you need this more than you need surface sterilization.
But <230 nm UVC light is expensive to mass-produce. Fortunately, Matthew's company, Nanotronics, invented a way to make these safe germ-killing lights much more efficiently!
Surely this should be valuable in the fight against COVID-19!