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 ...

In 2023, scientists in the joint School of Engineering and School of Life Sciences Laboratory of Protein Design and Immunoengineering (LPDI), led by Bruno Correia, published in Nature a deep-learning ...

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 ...

A new deep-learning model can now predict how proteins sort themselves inside the cell. The model has uncovered a hidden ...

By combining Transformer-based sequence modeling with a novel conditional probability strategy, the approach overcomes ...

Yet proteins play different roles in the different cellular and tissue contexts in which they find themselves and also depending on whether the same tissue or cell is healthy or diseased.

Proteins are the molecular machines that sustain every cell and organism, and knowing what they look like will be critical to untangling how they function normally and malfunction in disease. Now ...