Behind the Paper
The real stories behind the latest research papers, from conception to publication, the highs and the lows
Filtered by: Protocols & Methods
Aging-dependent loss of functional connectivity in a mouse model of Alzheimer’s disease and reversal by mGluR5 modulator
Alzheimer’s disease is challenging to tackle: it can affect the brain years before symptoms like memory loss arise. Yet, this slow progress gives us a long window where early detection could slow or stop its progression. Our study dives into how brain imaging and mouse models can help us get there.
A foundation model for enhancing magnetic resonance images and downstream segmentation, registration and diagnostic tasks
A foundation model for the motion correction, super resolution, denoising and harmonization of magnetic resonance images, can improve the performance of machine-learning models across a wide range of tasks.
The Impact of Toxic Effector Molecule TagX on the Amino Acid Conformation of the Hcp1 Monohexameric Ring in Acinetobacter baumannii Type VI Secretion System Utilizing Bioinformatics Tools and an AI System
This study employed machine learning and bioinformatics methods to clarify the mechanism by which Hcp1 nanotubes contract and transport effector molecules to their target cells, with A. baumannii serving as the host organism. Molecular Modeling connect Journal
RNA-Puzzles Round V: evaluation of RNA structure prediction on 23 targets
RNA-Puzzles is a community-wide evaluation of RNA 3D structure prediction since 2012. We report the state-of-the-art prediction in the field using 23 RNA targets in RNA-Puzzles Round V. See the paper: https://www.nature.com/articles/s41592-024-02543-9.
Overcoming the Preferred Orientation Problem in CryoEM with spIsoNet
A self-supervised deep-learning method that offers a computational solution to preferred orientation problem in cryoEM.
