This review provides an overview of traditional and modern methods for protein structure prediction and their characteristics and introduces the groundbreaking network features of the AlphaFold family ...

Protein design is crucial for the treatment of human diseases, but traditional protein design methods have some limitations. Site-directed mutagenesis is highly dependent on the physiological ...

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 ...

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 ...

AlphaFold arrived as a technical moonshot that suddenly made protein structures feel like software rather than secrets of nature, and five years on it has rewired how laboratories plan experiments, ...

Researchers have developed a deep-learning model, called PepFlow, that can predict all possible shapes of peptides -- chains of amino acids that are shorter than proteins, but perform similar ...

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 ...

Researchers create Disobind, an AI tool predicting protein interactions, advancing disease biology and drug design applications.

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

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