Ribonucleic acid (RNA) molecules may be best known for their job ferrying the genetic information encoded in DNA to a cell's protein factories, but these molecules aren't just a middleman for protein ...

Welcome to the RNA 3D Folding project! This repository focuses on predicting RNA 3D structures using machine learning techniques. We leverage the latest advancements in bioinformatics and machine ...

In this Q&A, Dr. Alex Green, Associate Professor of Biomedical Engineering at BU, discusses the power of sequence and structure of RNA molecules (SANDSTORM) and Generative Adversarial RNA Design ...

The majority of RNAs in each of our cells don't code for any of the thousands of proteins that make up our bodies. Instead, ...

Scientists from Lawrence Berkeley National Laboratory (Berkeley Lab) and the Hebrew University of Jerusalem have developed a streamlined process that predicts the structure of an RNA molecule down ...

This project implements a pipeline for predicting 3D atomic coordinates of RNA sequences using a simple machine learning model (MLP). It covers preprocessing, training, evaluation, and test-time ...

SG-NEx overcomes these limitations using long-read RNA sequencing, which enables the full sequence structure of RNA to be observed directly. This offers deeper biological insights while reducing ...

The RNP complex is the influenza virus’s essential package, the virus’s blueprints and a copy machine all rolled in one. The ...

This manuscript characterizes a mutated clone of RNA polymerase I in yeast, referred to as SuperPol, to understand the mechanisms of RNA polymerase I elongation and termination. The authors present ...