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. The ...

WEST LAFAYETTE, Ind. – Proteins are often called the working molecules of the human body. A typical body has more than 20,000 different types of proteins, each of which are involved in many functions ...

We know the genes, but not their functions—to resolve this long-standing bottleneck in microbial research, a joint research team has proposed a cutting-edge research strategy that leverages artificial ...

We know the genes, but not their functions.” To resolve this long-standing bottleneck in microbial research, a joint research ...

In a recent study published in the journal Nature Methods, a group of researchers developed a novel method called Ribonucleic Acid (RNA) High-Order Folding Prediction Plus (RhoFold+). This deep ...

Three scientists were named winners of the 2024 Nobel Prize in Chemistry for their innovations in the fields of computational protein design and structure prediction. One half of the prize was awarded ...

Scientists have used deep learning to design new proteins that bind to complexes involving other small molecules like hormones or drugs, opening up a world of possibilities in the computational design ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

Protein surface serves as an important representation of protein structure, determining the biological functions. With the flourishing of deep learning, various descriptors for protein surface have ...