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 ...

Here, by using a deep-learning network that already captures general principles of protein structure, we eliminate the need for fold-specific rules and open up the possibility of focusing on just ...

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 ...

In Biology 101, we learn that RNA is a single, ribbon-like strand of base pairs that is copied from our DNA and then read like a recipe to build a protein. But there's more to the story. Some RNA ...

Now, a Harvard Medical School 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.

Montelione notes, “The hallucination approach builds on earlier observations we made together with the Baker lab revealing that protein structure prediction with deep learning can be quite ...

“The hallucination approach builds on observations we made together with the Baker lab revealing that protein structure prediction with deep learning can be quite accurate even for a single ...