paui wawie

IG: paolo.montano.tagaloguin

[paui wawie @PTagaloguin]

come cuddle.

[藤井亮輔 🦒 Ryosuke Fujii (Ryo) @Ryo_epidemiol]

Nature Human Behaviour から "How to design effective scientific figures" というコメンタリーが出ました🎉参考になれば幸いです！！

https://t.co/vT9EmcjOj7

@NatureHumBehav

[Angel @itsAngel_xs]

🌞👙

[Joaquin Closet @joaquin_closet]

Please camiguin

[Ran Blekhman @blekhman]

When we looked at this a few years ago, Nature Genetics had the longest time from preprint to publication

[Erik @ethornally]

Built like a God

[Jan Gonzales 🫧 @IAmJanGonzales]

🤳🏾

[giftlove @giftlovej]

You will be the first millionaire in your family.

Claim it

[Kaedahara King @KaedaharaKing]

Ang ineeet na🔥

[paui wawie @PTagaloguin]

Eyyyyyy

[Bo Wang @BoWang87]

This is really cool (and wild):

Scientists simulated a complete living cell for the first time. Every molecule, every reaction, from DNA replication to cell division.

The paper (Luthey-Schulten et al., Cell 2026, https://t.co/PXxXWKC8yp), just out today, used JCVI-Syn3A — a synthetic minimal bacterium with fewer than 500 genes. A 3D+time simulation of the full 105-minute cell cycle: DNA replication, protein translation, metabolism, division. Every gene, protein, RNA, and chemical reaction tracked through physical space.

It took years to build. Multiple GPUs. Six days of compute time per run.

And this is the simplest possible cell.

A human cell has ~20,000 genes. It lives in tissue. It interacts with neighbors. It differentiates. It responds to drugs in ways that depend on context we haven't fully measured.

Mechanistic simulation of the minimal cell costs 6 GPU-days for 105 minutes of biology. You cannot scale that to human cells. The complexity isn't 40x harder. It's exponentially harder.

This is why the field pivoted to data-driven models. You can't hand-encode the regulatory wiring of a human hepatocyte. But you can learn it — if you have the right perturbation data collected across enough diverse biological contexts.

The two approaches aren't competing. Papers like this generate the ground truth that future ML models need for validation. But the path to a clinically useful virtual cell runs through foundation models, not through scaling up mechanistic simulation.

Amazing work!

[Tom Dörr @tom_doerr]

Bioinformatics research assistant on WhatsApp

https://t.co/QB8Dx0N4Ts

[Path of Men @PathOfMen_]

Repetition rewires the brain.
Repetition rewires the brain.
Repetition rewires the brain.
Repetition rewires the brain.
Repetition rewires the brain.
Repetition rewires the brain.
Repetition rewires the brain.
Repetition rewires the brain.
Repetition rewires the brain.

[Smart Science @SmartScience]

🚨 Human Papilloma Virus (HPV) can now be completely eliminated, thanks to Mexican researchers.

[paui wawie @PTagaloguin]

Pov

[Oded Rechavi @OdedRechavi]

When you agree to be in a committee

[paui wawie @PTagaloguin]

💪🏽

[Satoshi Kawato 川戸 智 @KawatoSatoshi]

Visualizing pairwise genome comparisons? No need to run BLAST separately anymore! 🧬
​#gbdraw has implemented #LOSAT, a WASM-powered Rust reimplementation of BLASTN/TBLASTX.
​✅ No local installation
✅ No data transfer (Serverless)
​Try it here: https://t.co/ahqoRxbDHT

[National Geographic @NatGeo]

This video of Volvox algae moving around a droplet of water in the middle of a Japanese 50 yen coin was shot at 50x magnification. Explore more microscopic storytelling from Nikon's 2025 Small World in Motion competition: https://t.co/6b2h2SAlLN

[Stephen Turner 🦋 @stephenturner.us @strnr]

orthogene: a Bioconductor package to easily map genes within and across hundreds of species https://t.co/QVDf43uw6R #Rstats https://t.co/B3xLoHunpP