In a recent study published in the journal Cell, researchers developed a deep learning model, "LucaProt," a transformer-based AI model to detect highly divergent ribonucleic acid (RNA)-dependent RNA ...

Researchers at Northeastern University in Boston have created a hybrid model to better understand how RNA’s structure and functional dynamics control biological systems. This modeling strategy ...

This study presents a valuable tool named TSvelo, a computational framework for RNA velocity inference that models transcriptional regulation and gene-specific splicing. The evidence supporting the ...

Fusion oncoproteins arise when a gene fuses with another gene and acquires new abilities. Such abilities can include the ...

Researchers may have found a way to create synthetic RNA that is more “pure” and cost-effective than previous approaches, expanding opportunities for medicine and therapeutics. According to research ...

In recent years, drug discovery has become a search for targets that take the form of gene-expression differences between normal and disease states. One of the leading approaches has been based on ...

A University of California, Irvine-led research team has discovered intricate molecular mechanisms driving the RNA processing defects that lead to Huntington's disease and link HD with other ...

Fusion oncoproteins arise when a gene fuses with another gene and acquires new abilities. Such abilities can include the formation of biomolecular condensates, "droplets" of concentrated proteins, DNA ...

A machine learning-based resource developed at St. Jude Children’s Research Hospital predicts which intrinsically disordered regions can drive the formation of biomolecular condensates and links those ...