Development and Validation of an Ipsilateral Breast Tumor Recurrence Risk Estimation Tool Incorporating Real-World Data and Evidence From Meta-Analyses: A Retrospective Multicenter Cohort Study Data ...

According to this model, sigma (σ) factors bind to RNA polymerase to initiate transcription—the process by which genetic information is copied from DNA to RNA—and then detach after initiation to allow ...

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 ...

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.

RIKEN researchers have discovered how an enzyme modifies gene expression by targeting certain stretches of messenger RNA ...

Tempus HRD-RNA is an AI-driven, 1,660-gene logistic regression model designed to identify patients likely to respond to ...

DNA and RNA methylation, initially thought to operate as distinct pathways, have been shown to interact closely, shifting our understanding of gene regulation. A team of researchers from the ...

Industrial yeasts are a powerhouse of protein production, used to manufacture vaccines, biopharmaceuticals, and other useful ...

Tempus AI launched its HRD-RNA algorithm, an AI-driven model for identifying Homologous Recombination Deficiency in cancer patients. The company also partnered with Median Technologies to integrate ...

A mysterious RNA found in breast cancer led scientists to uncover an entire hidden class of cancer-specific RNAs across ...