"Vivre sans contrainte, c'est ne pas comprendre la liberté"

Twitter sans le logo bleu, c'est un peu pisser dans un violon...

"I thought a scholar was always a man seeking truth, while it most often is someone seeking a position" Jean Rostand, carnet d'un biologiste

People are more productive when they work from home.

Can we make therapeutic antibodies that constrain and shape the escape evolution of the target? Beautiful collaboration using the structural simulator Absolut! in an opponent shaping problem. Have a look!!

When you take deutsche bahn, you can only have one super power, the train on time, the AC working or a confortable seat. Today I got the AC.

Why is exercise anti-cancer? Mice that exercise suppress tumors better than those that don't If those mice are treated with antibiotics, the gut microbiome is depleted and the effect is pretty much gone: it's (at least partly) mediated by gut bacteria 🧵

J’ai hésité à prendre ce sandwich ce matin🤣🤣🤣

🤣🤣🤣🤣

Trump always makes announcements during week ends when stock markets are locked... coincidence? I don't think so!

CAR-T cells containing CD28 versus 4-1BB co-stimulatory domains show distinct metabolic profiles in patients Cell Reports Anna Schurich cell.com/cell-reports/f…

Modulation of B cell receptor activation by antibody competition Cell Reports cell.com/cell-reports/f…

BLIMP1 controls GC B cell expansion and exit through regulating cell cycle progression and key transcription factors BCL6 and IRF4 Cell Reports Mark Shlomchik Lab Wei Luo cell.com/cell-reports/f…

'water is transparent only within a very narrow band of the electromagnetic spectrum, so living organisms evolved sensitivity to that band, and that's what we now call "visible light". ' (found via HN)

This paper is really elegant and beautiful. Researchers took a vesicle, filled it with a single type of enzyme and some protein pores, and showed that this "minimal cell," made from just three components (!!), could "actively propel itself toward an enzyme substrate gradient."

Machine learning is central to therapeutic antibody design, enabling models to generate or screen candidates likely to succeed in manufacturing and trials. These models depend on high-quality data. Below are key antibody databases/datasets for building and benchmarking models:

What does AlphaFold3 learn about antibody and nanobody docking, and what remains unsolved? 1. AlphaFold3 (AF3) significantly advances the field of antibody and nanobody docking, achieving a 10.2% high-accuracy docking success rate for antibodies and 13.3% for nanobodies with a

Regulatory T cell therapy promotes TGF-β and IL-6-dependent pro-inflammatory Th17 cell generation by reducing IL-2 Nature Communications nature.com/articles/s4146…