Martin Pacesa

@MartinPacesa

Assistant Professor at the University of Zurich. 🖥️ protein design, machine learning🤖, crystallography💎, cryoEM🔬. Anti-theist. Avid weirdness connoisseur 🎩

Zurich, Switzerland

pacesalab.com

Joined December 2018

Pinned
Martin Pacesa
@MartinPacesa
Jun 15
Our lab website is finally online! pacesalab.com You can find information about our research, publications, and on-going developments in the lab.
Martin Pacesa
@MartinPacesa
Aug 15
People will believe this is actual folding. Like when protein chains cross directly through each other.
Dilum Sanjaya
@DilumSanjaya
Aug 13
Fun interactive science app ideas | Part 12 Built an app to explore protein folding Structures from the Protein Data Bank. The folding path is modelled Code : Opus 5
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Martin Pacesa
@MartinPacesa
Aug 4
We are looking for a lab manager starting from January 2027, you can find more information on our members page pacesalab.com/#members. We are also starting to look into hosting master students starting 2027.
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Martin Pacesa
@MartinPacesa
Jul 11
The fold complexity scoring game has been updated with additional aspects of protein complexity according to suer feedback! All the scores have been recalculated and at least to me seem to correlate better with the apparent complexity of the fold! Happy voting!
Martin Pacesa
@MartinPacesa
Jul 7
We often talk about complex protein folds but what does that really mean? Turns out we don't have a good metric for it. So we made a game to make one! Head over to our website to vote on which fold you think is more complex and why! pacesalab.com/foldcomplexity…
Martin Pacesa
@MartinPacesa
Jul 8
Lots of votes already! Thank you everyone! I have again updated the set of structures based on the great feedback from people. You should have an easier time voting now and it includes more interesting structures.
Martin Pacesa
@MartinPacesa
Jul 8
First update and score calibration, seems the base metric only agrees with humans 73.5% of the time! I have updated the set of structures which should make it more intuitive to vote. Hopefully we can improve the metric to a better agreement!