They disable our defenses and hijack the cellular machinery in order to multiply successfully. For example, the herpes ...

Artificial intelligence (AI) and machine learning are increasingly being applied in the field of RNA biology. These methods are used to predict RNA structures, interactions with proteins and small ...

At a virtual conference in November 2020, the winner of a biennial protein-structure-prediction challenge was announced: AlphaFold. Created by Google DeepMind, this computational tool had blown its ...

RNA sequencing (RNA-seq) is a powerful tool in diagnosing Mendelian disorders, but the optimized sequencing depth for this technology has not yet ...

In a quest to develop new antiviral drugs for COVID-19 and other diseases, a collaboration led by scientists at The Wertheim ...

Researchers discovered that a circular RNA is crucial for synapse development and plasticity in the mouse visual system.

Next, they considered size, but found that alone cannot explain the enrichment, so the team turned to RNA structure—and started to piece the puzzle together. "With advances in structural biology of ...

A new method to detect ribonucleic acid (RNA) without needing any complex lab procedures or heating equipment has been ...

Torino is a computational workflow that uses biobank-scale RNA-seq data to decode transcript structures and expression levels from read coverage alone.

The scientists named this new process ER3D, which stands for endogenous RNA-directed DNA damage. It’s the first time ...

Wiring up the brain's trillions of circuit connections is an enormous job performed by a huge crew of molecules. Among the less understood members are circular RNAs, transcripts from DNA that assume a ...