Embedding a deep-learning model in the known structure of cellular systems yields DCell, a ‘visible’ neural network that can be used to mechanistically interpret genotype–phenotype ...

A scientist has used a form of artificial intelligence known as deep learning to predict the 3D structure of effectively any protein based on its amino acid sequence. This new approach for ...

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.

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

Deep learning is solving biology’s deepest secrets at breathtaking speed. Just a month ago, DeepMind cracked a 50-year-old grand challenge: protein folding. A week later, they produced a totally ...

Deep learning, 3D technology to improve structure modeling for protein interactions, create better drugs DOVE, created by Purdue researchers, captures structural and energetic features of the ...

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.

This deep learning-based method utilizes an RNA language model to accurately predict RNA 3D structures. This method addresses the challenges of RNA's intrinsic structural flexibility and the ...

Deep learning technology is changing the research landscape of protein structure prediction. It not only overcomes the limitations of traditional experimental methods but also provides us with ...