We are very happy that Angelika Amon's legacy lives on: Boehringer Ingelheim RCV opened its new #cancer research building in #Vienna yesterday, named after Angelika, alumna and lifelong friend of the IMP. May her example inspire great research done by great people! imp.ac.at/news/article/c…

Never too early to mark your calender for an exciting meeting on biopplymers in Mainz, Germany 👇

Join us as a Group Leader in #ComputationalBiology or #RNA Biology 🧬 More details via imb.de/jobs/scientifi… Application deadline is 5 January 2025

Deadline Oct 25th 2024!! Please submit an abstract to the 2025 APS March Meeting Focus Session "Macromolecular self-assembly and organization in cells" under DBIO 04.01.27. (1/2)

In this collaboration with Mauricio Sevilla, Luis Baptista, and Kurt Kremer Max-Planck-Institut für Polymerforschung, we present an open-boundary molecular dynamics method (AdResS+Particle Insertion) that samples the grand canonical ensemble. arxiv.org/abs/2410.11304

Do you like CALVADOS, but also proteins with folded domains? If yes, check out Fan’s paper on the CALVADOS 3 model Several changes since the first preprint including a new parameter set and the application to changes in folding stability in condensates dx.doi.org/10.1002/pro.51…

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!

Excited to share my and Sonya's little guide to large parallel simulations (and what you can do with them) in preprint form!

** Job Alert**: Are you looking for a postdoc in computational physics (including statistical mechanics, biophysics, fluid mechanics, quantum physics, and molecular dynamics), apply to CCM at the Flatiron Institute apply.interfolio.com/155357

Join us at Freie Universität as Post-Doc in molecular simulation of chemical reactions. Dive into rare events, machine-learned force fields & dynamical reweighting. 4 years, 100% TV-L. More details: bcp.fu-berlin.de/en/chemie/chem… #CompChem #machinelearning #postdoc

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…

Just a few days left to apply for the independent group leader position at Chemistry Department/JGU Mainz/Germany: Molecular Systems Engineering using DNA Nanoscience tools (start up funds ca. 1.5 MEUR). more info please see below. Thanks for RT!

🚀 We can now program LLMs to search for functional materials with exceptional properties! We present LLM-EO, an integration of pre-trained LLMs in an evolutionary optimization framework that finds molecular structures with optimal properties in a space of millions of transition

🚨Checkout our new publication from IBC2 Goethe-Universität to learn how IDRs amplify membrane remodeling during ER-phagy. Dive into our findings here: pnas.org/doi/10.1073/pn… Enable Cluster in Frankfurt SFB 1177 🔬 SCALE@Uni-Frankfurt Hummer Lab Dikic lab

New paper on JCIM & JCTC Journals on "Comparison of Methodologies for Absolute Binding Free Energy Calculations of Ligands to Intrinsically Disordered Proteins" - very nice collaboration with Michail Papadourakis Julien Michel is also on Mastodon Antonia Mey pubs.acs.org/doi/10.1021/ac…

The #APS deadline for abstracts has been extended to Oct 31! This is an excellent venue to showcase your work if you work in computational/experimental cellular biophysics featuring biomolecular condensates. Co-organized together with Hongbo Zhao, Yaojun Zhang, Patrick McCall

Check out how we used simulations and single molecule FRET to determine how a invasion bacterial protein activates a plasma membrane receptor to enter our cells. Kudos to Serena Arghittu and Gabriel Hella, and great collaboration with HeilemannLab (👉🏻 heilemannlab.bsky.social) nature.com/articles/s4146…

What an inspiration! See you soon! #ConferenceByTrain

Meet the CALVADOS RNA model on bioRxiv or on 🦋

We modified our STED🔬to make it more efficient ('smart') to acquire high-resolution data of small and rare objects in a 3D cell volume. This enabled collecting a large amount of data in a fully automated fashion. With that, we visualized the ultra-structure a nuclear body👇🏻(1/3)