RNA in action: Filming ribozyme self-assembly
Peer-Reviewed Publication
This month, we’re focusing on artificial intelligence (AI), a topic that continues to capture attention everywhere. Here, you’ll find the latest research news, insights, and discoveries shaping how AI is being developed and used across the world.
Updates every hour. Last Updated: 30-Dec-2025 10:11 ET (30-Dec-2025 15:11 GMT/UTC)
Using different structural biology techniques, researchers from EMBL Grenoble's Marcia Group captured a molecular ‘movie’ showing how a large RNA molecule folds and assembles itself.
The findings reveal how RNAs avoid folding errors and evolve into complex cellular machines.
This work paves the way for AI-driven RNA prediction, which could be a step towards an ‘AlphaFold for RNA’.New research led by the University of Plymouth, with partners at universities and healthcare facilities in the UK and USA, has found that targeted ultrasound can be used to change the function of a deep region of the human brain. Specifically, it can be used to target the nucleus accumbens, a tiny element of the human brain triggered when we experience something enjoyable, and used to help us learn behaviours that lead to rewards. With surgical treatments currently the only option to target this area of the brain, those behind the study believe it marks a turning point for neurotechnology, showing that a non-invasive ultrasound approach can influence behaviour and may one day help restore mental balance.
When gene transcription falls out of sync with other biological processes, that dysfunction can contribute to aging, cancer and other diseases. Researchers revealed how key regulatory proteins work in a precise hierarchy to meticulously adjust pacing during transcription. These regulatory proteins may now emerge as potential drug targets for a variety of disorders. The single-molecule platform that revealed these findings is a novel approach to studying similar processes that could have broad applications in biology.
Researchers from Saarland University and the Max Planck Institute for Software Systems have, for the first time, shown that the reactions of humans and large language models (LLMs) to complex or misleading program code significantly align, by comparing brain activity of study participants with model uncertainty.
A research team, led by Prof. XU Qin from the Department of Physics (PHYS) and Prof. HU Wenqi from the Department of Mechanical and Aerospace Engineering (MAE) at The Hong Kong University of Science and Technology (HKUST), has developed soft composite systems with highly programmable, asymmetric mechanical responses. By integrating “shear-jamming transitions” into compliant polymeric solids, this innovative work enhances key material functionalities essential for engineering mechano-intelligent systems— a major step toward the development of next-generation smart materials and devices.
- Professor Ko Jae-won’s research team at DGIST uncovers key role in signal transmission between neurons and memory formation
- Establishing the molecular foundation of learning and memory, expected to treat dysfunctional brain disorders, such as autism and dementia