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 ...

Researchers have created a deep learning pipeline for designing soluble analogues of key protein structures used in pharmaceutical development, sidestepping the prohibitive cost of extracting these ...

Microscopic glands of the prostate are segmented (colored) with the new deep-learning pipeline; the image shows a prostate cancer tissue volume, measuring roughly 1 x 1 x 2 mm in size. The prostate ...

Many drug and antibody discovery pathways focus on intricately folded cell membrane proteins: when molecules of a drug candidate bind to these proteins, like a key going into a lock, they trigger ...

A year and a half later, the team has reported – again in Nature ("Targeting protein-ligand neosurfaces with a generalizable deep learning tool") – an exciting advancement of this technology. They ...

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 ...