Anyone looking for a Christmas reading? We plan to submit in January, feedback welcome 🎄🎅

We develop a method to reconstruct RNA 2D ensembles based on nano-DMS-MaP data! Correlation as not measured from data, but rather inferred via a physics based model, which describes also RNA-probe interaction and can be straightforwardly extended to multiple reagents

If you are interested in joining the project as a postdoctoral researcher in computational RNA biophysics, integrative modelling, molecular dynamics, HPC, software development, or related areas, #joinus at www.bussilab.org/fis3

A key component will be the further development and benchmarking of methods within @plumed.org , our community-driven platform for enhanced sampling and integrative molecular simulations, providing efficient high-performance workflows.

The project includes a strong link with Redmond Smyth (CNRS), whose expertise in virology and chemical probing will be central to integrating modelling with experimental virology.

This is a large, ERC-scale initiative aimed at developing new methodologies for RNA modelling by integrating chemical probing data with state-of-the-art simulations.

The applied focus will be on understanding the genome architecture of Influenza A, in close connection with experiment.

We also discuss key challenges, such as the generalization crisis, data scarcity, and the rise of RNA #foundationmodels, and outline future directions toward predicting dynamic structural ensembles.

We survey the rapidly evolving field of machine learning for RNA 2D prediction, from classical thermodynamic models to #deeplearning and hybrid physics-based approaches.

PLUMED is widely used to analyze and enhance #moleculardynamics simulations.
This tutorial shows how to benchmark and optimize its #performance, explaining tricks to speed up calculations involving large sets of distances, angles, or torsions. ⚙️

Elisa also contributed to the joint analysis of submissions and cryo-EM maps with @rachael-kretsch.bsky.social — a great example of collaboration across labs. 🤝 Congratulations to all participants!

This collaborative work reports the results of a community-wide #CASP16 challenge to model #RNA hydration using #cryoEM data. Our group participated with a submission by @ollyfutur.bsky.social, Elisa Posani, and @bussigio.bsky.social, which performed very well. 🎯

And thanks to the opponents @jmbujnicki.bsky.social and @giuliapalermo.bsky.social for evaluating Elisa's work, and sharing their recent research at SISSA