[6/8] Our scaling equation – a quadratic-exponential function with single-exponential deviations at extremes – fits 100+ temperature-response curves across traits and taxa, offering a sound estimate of mean activation energy.

[3/8] The completion time of such multi-step processes, i.e., reaching step n from step 1, was found to follow a quadratic-exponential function of inverse temperature. This scaling, seen in experiments, naturally emerges from averaging over many independent intermediate steps.

[2/8] Our model is relatively straightforward: a cascade of n (reversible) Markov jump processes, each transition rate following Arrhenius-like temperature scaling, with forward transitions favored near a reference temperature.

🚨 Late preprint alert!
Why do biological process rates scale nonlinearly with temperature, deviating from the straight line on an Arrhenius plot? The key may lie in their inherent complexity!

More in thread and here: doi.org/10.1101/2025...

Today’s the kimchi night, in celebration of the KU Leuven Patron Saint’s day

[3/2] Returning to the office, I realize this post doesn't look attractive without any visual content. I'm fixing it urgently so you can see a fantastic movie of cdk1 activity spirals displayed by the microtubule polymerization in the frog egg cytoplasm! For clarity, we show the wave's phase as well

Nice start of the year! Feel relieved. As we say “a mountain has lifted off my shoulders” :)

Me spending holidays with the kids 😅

Buenos días from Barcelona! This is how my perfect New Year vacation looks like 🤩

Today, our lab is visited by two promising junior researchers 👩‍🔬👩‍💻