Sign in

jurgjn.bsky.social

@jurgjn.bsky.social
72 followers 106 following 5 posts
PostsRepliesMedia
Reposted by @jurgjn.bsky.social
Adam Kucharski @adamjkucharski.bsky.social · 20/07/2026
“I got Claude Fable to do this analysis and write this paper. I’m posting it here, but I haven’t checked it yet.” WELL CHECK IT THEN. WHY ARE YOU POSTING THINGS YOU CAN’T BE BOTHERED TO READ.
47812
Reposted by @jurgjn.bsky.social
Amir Bitran @amirbitran.bsky.social · 05/07/2026
I am delighted to share that my newest manuscript and the first of my postdoc in the Marqusee and Bustamante labs, “A detailed molecular picture of protein folding during active translation”, is now on the BioRXiv! (1/n) www.biorxiv.org/content/10.6...
biorxiv.org
A detailed molecular picture of protein folding during active translation
All proteins can begin to fold on the ribosome, and many proteins critically rely on co-translational folding to attain their native conformation. The molecular details underlying this crucial process...
24211
Reposted by @jurgjn.bsky.social
Harmit Singh Malik @harmitmalik.bsky.social · 24/06/2026
I know it seems like a heretical idea, but one way to figure out if a preprint is really interesting (to you) is... to read the preprint. Then, in the spirit of sharing, send a note to authors: a simple kudos or a more detailed question. I do this a dozen times a year. It's awesome. Try it.
1229264
Reposted by @jurgjn.bsky.social
Marc Robinson-Rechavi @marcrr.bsky.social · 31/03/2026
This! AlphaFold is PDB + UniProt + Deep learning. No data sharing, no curation, no data standards, no AlphaFold.
23517
jurgjn.bsky.social @jurgjn.bsky.social · 31/03/2026
We've updated our pooled co-folding map of yeast protein-protein interactions. We now include 7,631,089 heterodimers, increasing coverage from 28.9% to 63.4% of all possible pairs. The web app with all the structures has grown to 15GB, but should still run locally! github.com/jurgjn/poole...
github.com
GitHub - jurgjn/pooled-ppi-yeast: Work-in-progress map of yeast protein-protein interactions using pooled co-folding
Work-in-progress map of yeast protein-protein interactions using pooled co-folding - jurgjn/pooled-ppi-yeast
052
Reposted by @jurgjn.bsky.social
Mohammed AlQuraishi @moalquraishi.bsky.social · 13/03/2026
New OpenFold3 preview out! (OF3p2) It closes the gap to AlphaFold3 for most modalities. Most critically, we're releasing everything, including training sets & configs, making OF3p2 the only current AF3-based model that is functionally trainable & reproducible from scratch🧵1/9
124490
Reposted by @jurgjn.bsky.social
Pedro Beltrao @pedrobeltrao.bsky.social · 04/03/2026
We have started a project trying to predic the interactions/structures of all yeast protein pairs using an AlphaFold pooling approach. We are making the current dataset open and we welcome collaborations. www.evocellnet.com/2026/03/mapp...
evocellnet.com
Mapping the yeast atructural interactome with AlphaFold3: an open call for collaboration
We are excited to announce the early-stage release of our S. cerevisiae  structural interactome mapping project. Using AlphaFold3 (AF3), w...
69853
Reposted by @jurgjn.bsky.social
Andre Cornman @ancornman1.bsky.social · 03/03/2026
Predicting protein-protein interactions (PPIs) at proteome scale can take months with co-folding models due to the massive all-vs-all comparisons required. We are excited to announce FlashPPI, a contrastive learning framework that predicts proteome wide physical interfaces in minutes. 1/🧵
16727
Reposted by @jurgjn.bsky.social
Leonardo Carella @leonardocarella.bsky.social · 24/02/2026
Slava Ukraini.
0223
Reposted by @jurgjn.bsky.social
Chris Ingraham @cingraham.bsky.social · 18/02/2026
Elon posted this yesterday. Just for fun I did it with my before/after cancer PET scans that I had already posted online. In the "before" scan Grok missed the massive tumor lighting up my liver, and in both scans it flagged a non-existent "area of concern" in my chest. Other than that, works great!
Musk on Twitter 2/17/2026: You can just take a picture of your medical data or upload the file to get a second opinion from Grok
833042609
Reposted by @jurgjn.bsky.social
Carl T. Bergstrom @carlbergstrom.com · 30/10/2025
If you want to implement an AI tutor, you need to study it’s performance in naturalistic settings with the kinds of context windows that student learners will provide. You can’t begin with a well formulated question about a single topic. Students don’t know how to formulate questions well at first.
412612
Reposted by @jurgjn.bsky.social
Michael Hoffman @michaelhoffman.bsky.social · 22/10/2025
@drkatemarvel.bsky.social Are there any good current equivalents of the red stack from David MacKay 2009? It lives rent-free in my head but would like to know if it still reflects current knowledge. www.withouthotair.com/c18/page_103...
8   Can we live on renewables?

The red stack in figure 18.1 adds up to 195 kWh per day per person. The
green stack adds up to about 180 kWh/d/p. A close race! But please
remember: in calculating our production stack we threw all economic,
social, and environmental constraints to the wind. Also, some of our green
contributors are probably incompatible with each other: our photovoltaic
panels and hot-water panels would clash with each other on roofs; and our
solar photovoltaic farms using 5% of the country might compete with the
energy crops with which we covered 75% of the country. If we were to lose
just one of our bigger green contributors – for example, if we decided that
deep offshore wind is not an option, or that panelling 5% of the country
with photovoltaics at a cost of £200 000 per person is not on – then the
production stack would no longer match the consumption stack.

Furthermore, even if our red consumption stack were lower than our
green production stack, it would not necessarily mean our energy sums
are adding up. You can’t power a TV with cat food, nor can you feed a cat
from a wind turbine. Energy exists in different forms – chemical, electrical,
kinetic, and heat, for example. For a sustainable energy plan to add up, we
need both the forms and amounts of energy consumption and production
to match up. Converting energy from one form to another – from chemical
to electrical, as at a fossil-fuel power station, or from electrical to chemical,
as in a factory making hydrogen from water – usually involves substantial
losses of useful energy. We will come back to this important detail in
Chapter 27, which will describe some energy plans that do add up.

Here we’ll reflect on our estimates of consumption and production,
compare them with official averages and with other people’s estimates,
and discuss how much power renewables could plausibly deliver in a
country like Britain.

The questions we’ll address in this chapter are:

    Is the size of the red st…
141
Reposted by @jurgjn.bsky.social
Drug Monkey @drugmonkey.bsky.social · 25/09/2025
This may be the most important paper ever published about NIH funded research. www.science.org/doi/10.1126/...
science.org
What if NIH had been 40% smaller?
Replaying history with less NIH funding shows widespread impacts on drug-linked research
5414250
Reposted by @jurgjn.bsky.social
Jeffrey Barrett @jeffbarrett.eu · 24/09/2025
The science is, in fact, clear. Good studies [1] consistently show a weak association between tylenol & autism. Those studies are very careful to say they can't establish whether this is causal. A huge Swedish study used a clever sibling design to address this, and showed zero causal effect [2].
22610
Reposted by @jurgjn.bsky.social
Pedro Beltrao @pedrobeltrao.bsky.social · 22/07/2025
Unexpectedly, @jurgjn.bsky.social found that running Alphafold3 predictions for protein interactions can yield ipTM scores that are more predictive of true interactions when run in pools of proteins instead of pairwise predictions. Presumably, this reflects some sort of "competition effect".
38731
Reposted by @jurgjn.bsky.social
David Pfau @davidpfau.com · 28/05/2025
The war on science in the US is already having an effect on private sector research like AlphaFold. Bears repeating but the private sector builds on top of things created by academic research for the public good. This hurts everyone.
2236103
Reposted by @jurgjn.bsky.social
Diego del Alamo @delalamo.xyz · 23/04/2025
Some crystal structures show evidence of multiple stable conformations, such as loops or side chains with two distinct regions of density. These can be correctly modeled by MD, but not modern protein ensemble prediction tools like AlphaFlow or DiG (BioEmu not tested) www.biorxiv.org/content/10.1...
Examples of alternate conformations with environmental explanations.
(A) a protein in two states (open and closed) mediated by allosteric effects; (B) a population of two discrete rotamer states of a sidechain; (C) bound and unbound states due to ligand interaction; (D) different oxidation states of a cysteine pair. Furthermore, some regions in many protein structures exhibit such a degree of flexibility, that no accurate modelling is possible (dashed lines, E). The backbone conformation cannot be determined with crystallographic methods in such cases.Failure of ensemble prediction algorithms in altloc segments.
Although structure and ensemble prediction techniques based on amino acid sequences are capable of accurately reconstructing the overall backbone structure (left column), they consistently fail to produce viable samples corresponding to one of the two altloc conformations (as shown in the magnified regions in the second through fourth columns).
04412
Reposted by @jurgjn.bsky.social
Arjun Raj @arjunraj.bsky.social · 20/03/2025
I miss when the biggest controversy about mRNA was whether it correlated with protein or not.
1031639
Reposted by @jurgjn.bsky.social
Carl T. Bergstrom @carlbergstrom.com · 23/02/2025
LLMs can't take responsibility for their mistakes. When a human journalist puts their name on AI-written text, they take on that responsibility. Increasingly I see inaccurate and badly written news stories authored by AI, many of which have actual humans listed as authors or editors.
625635
Reposted by @jurgjn.bsky.social
Timothée Poisot @ctrlalttim.com · 05/12/2024
The best first sentence of a grant application I've read was (paraphrasing), "Tool X is widely used to do task Y; we will make it accessible to people living with condition Z (13% of the population) so that it is more equitable and more widely used". Let's unpack why, because there's a lesson. 🧵
2522239
Reposted by @jurgjn.bsky.social
jurgjn.bsky.social @jurgjn.bsky.social · 18/11/2024
We’ve now explored this on all GPU models available on our cluster and some non-A100/H100 do not have the issue; seems like something nuanced that can hopefully be fixed: github.com/google-deepm...
github.com
Model does not run correctly on non A100/H100 GPUs · Issue #59 · google-deepmind/alphafold3
A note from us at Google DeepMind: We have now tested accuracy on V100 and there are serious issues with the output (looks like random noise). Users have reported similar issues with RTX 2060S and ...
035
Reposted by @jurgjn.bsky.social
Pedro Beltrao @pedrobeltrao.bsky.social · 14/11/2024
Jurgen in our group run AF3 locally after fiddling. It worked well on a A100 and produced some bad models on a lower end GPU. We don't have access to many A100s so unless we get it working on lower-end GPUs we won't be able to use this much.
2172
Reposted by @jurgjn.bsky.social
Carl T. Bergstrom @carlbergstrom.com · 20/10/2024
1. I'm conflicted about moving old tweets to Bluesky. I like the idea in general of using @blueark.app to preserve that content. I have a few threads posted during COVID—for example, the original analysis of the IHME model right after it came out—that seem a valuable part of the scientific record.
blueark.app
BlueArk
The new blue land is waiting for you. Bring your stories with BlueArk.
1111513