With the huge jump in RNA prediction seems like it could be a boon for the wave of mRNA labs
Those outside the US at least ...
I've been saying we need a rebranding of mRNA in the USA its coming.
AlphaGenome: AI for better understanding the genome
101–110 of 193 posts
Re: AlphaGenome: AI for better understanding the genome
#102Earlier quoted context omitted.
When I was restudying biology a few years ago, it was making me a little crazy trying to understand the structural geometry that gives rise to the major and minor grooves of DNA. I looked through several of the standard textbooks and relevant papers. I certainly didn't find any good diagrams or animations. So out of my own frustration, I drew this. It's a cross-section of a single base pair, as if you are looking str…
It's not really just base pairs forcing groove structure. The repulsion of the highly charged phosphates, the specific chemical nature of the dihedral bonds making up the backbone and sugar/base bond, the propensity of the sugar to pucker, the pi-pi stacking of adjacent pairs, salt concentration, and water hydration all contribute. My graduate thesis was basically simulating RNA and DNA duplexes in boxes of water for…
Jeffhwang is correct, and dekhn is thinking way too hard. If you have any asymmetric planar structure that stacks into a helix into the third dimension there will be a minor groove and a major groove.
Re: AlphaGenome: AI for better understanding the genome
#103Just add startofficial intel.
Re: AlphaGenome: AI for better understanding the genome
#104Earlier quoted context omitted.
Like Ballmer, he was set up for success by his predecessor(s), and didn't derail strong growth in existing businesses but made huge fumbles elsewhere. The question is, who is Google's Satya Nadella? Demis?
> who is Google's Satya Nadella? Demis? 100% it's Demis. A Demis vs. Satya setup would be one for the ages.
Demis has the best story arc. The path from bullfrog and lionhead games to the tip of the spear in biological research. You can't make this up
He's also happens to be a really nice guy in person.
Re: AlphaGenome: AI for better understanding the genome
#105I don't think DM is the only lab doing high-impact AI applications research, but they really seem to punch above their weight in it. Why is that or is it just that they have better technical marketing for their work?
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Re: AlphaGenome: AI for better understanding the genome
#106this is such an interesting problem. Imagine expanding the input size to 3.2Gbp, the size of human genome. I wonder if previously unimaginable interactions would occur. Also interesting how everything revolves around U-nets and transformers these days.
> Also interesting how everything revolves around U-nets and transformers these days. To a man with a hammer…
Or to a man with a wheel and some magnets and copper wire...
There are technologies applicable broadly, across all business segments. Heat engines. Electricity. Liquid fuels. Gears. Glass. Plastics. Digital computers. And yes, transformers.
Re: AlphaGenome: AI for better understanding the genome
#107Earlier quoted context omitted.
> Azure is #2, behind AWS because Satya's effective and strategic decisions I am going to have to disagree with this. Azure is number 2, because MS is number 1 in business software. Cloud is a very natural expansion for that market. They just had to build something that isn't horrible and the customers would have come crawling to MS.
You could just as easily make the argument that cloud is a very natural expansion for Google given their expertise in datacenters and cloud software infrastructure, but they are still behind. Satya absolutely deserves credit for Microsoft's success here.
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Re: AlphaGenome: AI for better understanding the genome
#108this is such an interesting problem. Imagine expanding the input size to 3.2Gbp, the size of human genome. I wonder if previously unimaginable interactions would occur. Also interesting how everything revolves around U-nets and transformers these days.
You would not need much more than 2 megabases. The genome is not one contiguous sequence. It is organized (physically segregated) into chromosomes and topologically associated domains. IIRC 2 megabases is like the 3 sd threshold for interactions between cis regulatory elements / variants and their effector genes.
Re: AlphaGenome: AI for better understanding the genome
#109I bet the internal pitch is that genome will help deliver better advertisement, like if you are at risk of colon cancer they sell you "colon supplements", its likely they will be able to infer a bit about your personality just with your genome, "these genes are correlated with liking dark humor, use them to promote our new movie"
Re: AlphaGenome: AI for better understanding the genome
#110You know the corporate screws are coming down hard, when the model (which can be run off a single A100) doesn't get a code release or a weight release, but instead sits behind an API, and the authors say fuck it and copy-paste the entirety of the model code in pseudocode on page 31 of the white paper.
Please Google/Demis/Sergei, just release the darn weights. This thing ain't gonna be curing cancer sitting behind an API and it's not gonna generate that much GCloud revenue when the model is this tiny.