lysozyme

7 ms·

1.
Isomorphic unlocks a new frontier in AI drug design(isomorphiclabs.com)
1 points by lysozyme 7mo ago|0 comments
2.
by lysozyme 2y ago
It’s interesting how Egypt’s efforts to monitor and test for malaria contributed to this accomplishment. It underscores how eradicating many infectious diseases will require a deep understanding not only of the disease itself, but also the
3.
by lysozyme 2y ago
For those like myself who design proteins for a living, the open secret is that well before AlphaFold, it was pretty much possible to get a good-enough structure of any particular protein you really cared about (from say 2005) by other mean
4.
Hammock-driven development [video](youtube.com)
2 points by lysozyme 2y ago|0 comments
5.
Bash one-liners useful for bioinformatics(github.com)
2 points by lysozyme 2y ago|1 comments
6.
Onramp to Deep Learning for Biologists(alexcarlin.bearblog.dev)
1 points by lysozyme 2y ago|0 comments
7.
by lysozyme 2y ago
Agreed, the UX of a magnet timer on the fridge beats using any kind of smart device for the task of setting kitchen timers. Most of them start a simple count up if not programmed for a specific duration, so you can watch the seconds. Most m
8.
by lysozyme 2y ago
Agreed on the hopes that these methods lead to novel biocatalysts (but they aren’t quite there yet). David Baker’s lab has recently published on using their own diffusion model (RFdiffusion) to design novel biocatalysts that perform hydroly
9.
How to play the piano: two books about Glenn Gould(lrb.co.uk)
1 points by lysozyme 2y ago|0 comments
10.
Containerizing biology can be scary(alexcarlin.bearblog.dev)
1 points by lysozyme 2y ago|0 comments
11.
Why do LLMs make you more creative?(alexcarlin.bearblog.dev)
4 points by lysozyme 2y ago|5 comments
12.
The Steely Dan Dictionary(steelydandictionary.com)
3 points by lysozyme 2y ago|0 comments
13.
Drawing presentable trees(llimllib.github.io)
3 points by lysozyme 2y ago|1 comments
14.
by lysozyme 2y ago
Good point! And a related topic, we call the organism that lives happily in our gut E. coli and we also call the organisms that cause disease the same name. What’s the difference? It turns out that the Escherichia coli (to spell out its
15.
by lysozyme 2y ago
The flip side of this is that progress in ML for biology is always going to be _slower_ than progress in ML for natural languages and images [1]. Humans are natural machines capable of sensing and verifying the correctness of a piece of tex
16.
Why is progress slow in generative AI for biology?(alexcarlin.bearblog.dev)
9 points by lysozyme 2y ago|2 comments
17.
We Need Better Benchmarks for Machine Learning in Drug Discovery(practicalcheminformatics.blogspot.com)
1 points by lysozyme 2y ago|0 comments
18.
Wet-lab innovations will lead the AI revolution in biology(substack.com)
60 points by lysozyme 2y ago|25 comments
19.
by lysozyme 2y ago
Probably worth mentioning that David Baker’s lab released a similar model (predicts protein structure along with bound DNA and ligands), just a couple of months ago, and it is open source [1]. It’s also worth remembering that it was David B
20.
Gemini: A Family of Highly Capable Multimodal Models(arxiv.org)
2 points by lysozyme 3y ago|0 comments
21.
by lysozyme 3y ago
As cool as this is, the word “microplastics” is a little misleading. There are dozens of types of plastic in common use, each made from a different monomer with a different chemical linkage, of which PET is only one. The engineered protein
22.
A literary history of fake texts in Apple's marketing materials(maxread.substack.com)
331 points by lysozyme 3y ago|136 comments
23.
A home-made solar kettle, its performance and its problems(cambridgeclarion.org)
2 points by lysozyme 3y ago|0 comments
24.
Suggestions for Using IT Support(romulus2.com)
1 points by lysozyme 3y ago|0 comments
25.
by lysozyme 3y ago
Great article. I think we find time and time again that the best leaders are really “cheerleaders”. It turns out that inspiring people, personally living the values you espouse, and giving your team trust and respect is the key to success.
26.
How many people are around?(xakcop.com)
1 points by lysozyme 3y ago|0 comments
27.
by lysozyme 3y ago
I think parent has hit on the how and GP has hit on the why. How LLMs are able to give convincing wrong answers: they “can predict the correct ‘shape’ of an answer” (parent). Why LLMs are able to give convincing wrong answers is a little mo
28.
by lysozyme 3y ago
When evaluating this work, it’s important to remember that the functional labels and protein family assignments on each of the 280 million input sequences were originally assigned by an HMM model using human curated sequence groups as part
29.
by lysozyme 3y ago
Nest still sends me a monthly summary email for account that’s maybe nine years stale, despite my repeated attempts to get them to stop. Their customer support says there’s “nothing they can do”. The Nest smoke alarms at a friend’s house sa
30.
by lysozyme 3y ago
And quite a bit longer than that even for the human brain to convolve safely with its surroundings and with other human brains. One yet further objection to the many excellent already-made points: the deployment of LLMs as clean-slate isola

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