A recent study has developed a highly accurate risk prediction framework for preterm birth (PTB) that could broaden the ...

RNA-binding proteins use a dual binding mechanism involving zinc finger (ZnF) domains and intrinsically disordered regions ...

A new study presents GeneLLM, an AI-driven framework integrating cfDNA and cfRNA to improve preterm birth detection. Tested ...

Single-cell proteomics with RNA sequencing uncover hidden gene expression dynamics in stem cell differentiation.

In the past decade, there has been significant interest in studying the expression of our genetic code down to the level of ...

Atomic AI’s ATOM-1 large language model (LLM) demonstrates state-of-the-art accuracy for predicting RNA structure and function Technology can be exploited to evaluate and optimize key features ...

MIT researchers use AI to improve RNA therapeutics' delivery, predicting better material compositions for targeted nanoparticles.

DOI: 10.1038/s41586-023-06500-y Yizhu Lin et al, Dynamic regulation of messenger RNA structure controls translation, Nature (2023). DOI: 10.1038/d41586-023-02673-8 ...

Model demonstrates how RNA splicing defects contribute to Alzheimer's disease Date: October 13, 2022 Source: St. Jude Children's Research Hospital Summary: Scientists have created a model to study ...

The findings appeared today in Nature Aging. The researchers used their new model to discover how defects in RNA splicing contribute to neurodegeneration in Alzheimer's disease.