1. Evolution of protein structure prediction methods: from traditional template-based modeling and template-free modeling approaches to the application of modern deep learning models such as ...

In the rapidly advancing field of computational biology, a newly peer-reviewed review explores the transformative role of deep learning techniques in revolutionizing protein structure prediction.

AlQuraishi developed a deep-learning model, termed a recurrent geometric network, which focuses on key characteristics of protein folding. But before it can make new predictions, it must be trained ...

New deep-learning model outperforms Google AI system in predicting peptide structures Date: June 27, 2024 Source: University of Toronto Summary: Researchers have developed a deep-learning model ...

Microsoft Research has introduced BioEmu-1, a deep-learning model designed to predict the range of structural conformations that proteins can adopt. Unlike traditional methods that provide a single st ...

Researchers introduce RhoFold+, a groundbreaking deep learning model that predicts RNA 3D structures with unprecedented accuracy and efficiency, addressing critical challenges in structural biology.