Fan Cao (@fancaoerik) 's Twitter Profile
Fan Cao

@fancaoerik

PhD student at #LinderstrømLang, University of Copenhagen. Molecular dynamics simulation, integrative structural biology, biophysics and tennis.

ID: 1559817710510690304

calendar_today17-08-2022 08:21:46

64 Tweet

41 Followers

109 Following

Kresten Lindorff-Larsen (@lindorfflarsen) 's Twitter Profile Photo

Our work on computational design of intrinsically disordered proteins is now out in Science Advances We asked whether we could use molecular simulations and ML to design disordered proteins with specified properties of conformational ensembles 🍝 doi.org/10.1126/sciadv…

Our work on computational design of intrinsically disordered proteins is now out in Science Advances

We asked whether we could use molecular simulations and ML to design disordered proteins with specified properties of conformational ensembles 🍝

doi.org/10.1126/sciadv…
Kresten Lindorff-Larsen (@lindorfflarsen) 's Twitter Profile Photo

The avg. salaries for employees at U. of Copenhagen are out, & when normalized to full profs are Full prof. 100% Assoc. prof. 73% Assist. prof. 61% Post doc. 57% PhD stud. 46% This is before a progressive tax, so post-tax differences will be smaller uniavisen.dk/loenninger-paa…

Matteo Cagiada (@cagiadamatteo) 's Twitter Profile Photo

What an amazing day at yesterday UCPH SCIENCE PhD graduation ceremony! 🎓 And I’m also humbled and excited to announce that I’ve been honored with the PhD Award of the year at SCIENCE 2024.

What an amazing day at yesterday UCPH SCIENCE PhD graduation ceremony! 🎓
And I’m also humbled and excited to announce that I’ve been honored with the PhD Award of the year at SCIENCE 2024.
Kresten Lindorff-Larsen (@lindorfflarsen) 's Twitter Profile Photo

New preprint w @TKSchulze who analysed cellular abundance (VAMP-seq) data for ~32,000 variants of six proteins We find that much of the variation can be explained and predicted by a burial-dependent substitution matrix Lots more goodies in the paper doi.org/10.1101/2024.0…

New preprint w @TKSchulze who analysed cellular abundance (VAMP-seq) data for ~32,000 variants of six proteins  

We find that much of the variation can be explained and predicted by a burial-dependent substitution matrix

Lots more goodies in the paper

doi.org/10.1101/2024.0…
Andreas Laustsen (@andreaslaustsen) 's Twitter Profile Photo

Our new research article benchmarks #AlphaFold2’s ability to predict #protein conformational ensembles, comparing it to #molecular #dynamics and #NMR. Promising, but some structural complexities remain undetected. Read here: sciencedirect.com/science/articl…

Our new research article benchmarks #AlphaFold2’s ability to predict #protein conformational ensembles, comparing it to #molecular #dynamics and #NMR. Promising, but some structural complexities remain undetected. Read here: sciencedirect.com/science/articl…
Fan Cao (@fancaoerik) 's Twitter Profile Photo

A great collaboration with KerstinDoerner and Maria Hondele! Also many thanks for the help from Kresten Lindorff-Larsen. We used our CALVADOS model to study the effect of tagging on condensation and phase separation—a good starting point for studying specific interactions.

Kresten Lindorff-Larsen (@lindorfflarsen) 's Twitter Profile Photo

Our paper on the use of dioxane as a reference for NMR diffusion measurements is now out authors.elsevier.com/a/1jxWn1SPT7tPu This paper led by Emil Tranchant revisits pioneering 25 y old work on using dioxane as a reference. We update the reference value and discuss the implications 1/4

Fan Cao (@fancaoerik) 's Twitter Profile Photo

Now it is on Protein Science! (onlinelibrary.wiley.com/doi/10.1002/pr……) We also have a colab version of CALVADOS 3 (colab.research.google.com/github/KULL-Ce……). Looking forward to receiving your feedbacks!

Kresten Lindorff-Larsen (@lindorfflarsen) 's Twitter Profile Photo

And check out the new CALVADOS code base from @SoBuelow (& Giulio Tesei + Fan Cao) that makes it even easier to run simulations of individual IDRs and multi-domain proteins as well as condensates (incl. multi-component systems) using OpenMM github.com/KULL-Centre/CA…

Kresten Lindorff-Larsen (@lindorfflarsen) 's Twitter Profile Photo

Sören, Giulio & I wrote a short review on the use of machine learning methods to study disordered proteins, with a focus on linking sequences to ensembles (by simulation or generative models; or for design), biophysical properties and biological functions doi.org/10.48550/arXiv…

Sören, Giulio & I wrote a short review on the use of machine learning methods to study disordered proteins, with a focus on linking sequences to ensembles (by simulation or generative models; or for design), biophysical properties and biological functions

doi.org/10.48550/arXiv…
Kresten Lindorff-Larsen (@lindorfflarsen) 's Twitter Profile Photo

📣 Save the dates 📅 We are organizing a Benzon Symposium on "Protein structure prediction and design" with what I think is an amazing set of speakers Meeting will take place in Copenhagen 🇩🇰 on Sept. 1–4, 2025, and abstract submission will open in March

📣 Save the dates 📅

We are organizing a Benzon Symposium on "Protein structure prediction and design" with what I think is an amazing set of speakers

Meeting will take place in Copenhagen 🇩🇰 on Sept. 1–4, 2025, and abstract submission will open in March
Kresten Lindorff-Larsen (@lindorfflarsen) 's Twitter Profile Photo

Check out Rasmus Krogh Norrild's work with Alex Buell @biophysics_dtu and Joseph Rogers developing and using Condensate Partitioning by mRNA-Display to probe phase separation of ~100.000 sequences, and @SoBuelow simulations to support and analyse the experiments

Check out <a href="/RasmusNorrild/">Rasmus Krogh Norrild</a>'s work with Alex Buell @biophysics_dtu  and <a href="/JosephRogers100/">Joseph Rogers</a> developing and using Condensate Partitioning by mRNA-Display to probe phase separation of ~100.000 sequences, and @SoBuelow simulations to support and analyse the experiments