RNA plays a vital role in how our genes are expressed and how diseases develop. Yet, because RNA molecules constantly change shape, understanding how they work has long been a major scientific ...

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 ...

In a recent study published in the journal Nature Methods, a group of researchers developed a novel method called Ribonucleic Acid (RNA) High-Order Folding Prediction Plus (RhoFold+). This deep ...

Scientists have long pondered the beginnings of life on Earth. One theory is that RNA, which is ubiquitous across all domains of life, played a central role in early life. Similar to DNA, RNA ...

A new AI-based system combines genomic sequences and RNA-binding protein profiles to model complex RNA splicing patterns ...

Hebrew University study proposes a new model suggesting that disrupted RNA editing within pancreatic beta cells might initiate an inflammatory response akin to early-stage type 1 diabetes. This new ...

A recent study published in Cell Metabolism by researchers at the Hebrew University-Hadassah Medical School, Bar-Ilan University and Vanderbilt University has developed a new paradigm for early stages ...

A new AI-driven framework enables highly accurate prediction of RNA splicing and isoform usage for therapeutic applications.

Posts from this topic will be added to your daily email digest and your homepage feed. AlphaFold 3 uses the same method as AI image generators to predict how different molecules fit together.

A research team from the Cancer Science Institute of Singapore (CSI Singapore) at the National University of Singapore (NUS) has successfully harnessed artificial intelligence (AI) and deep-learning ...

Blank Bio Announces Seed Financing and Strategic Collaboration with PacBio to Advance RNA Foundation Models for Precision Oncology ...