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 ...

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 ...

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 ...

Overview Neural networks courses in 2026 focus heavily on practical deep learning frameworks such as TensorFlow, PyTorch, and Keras.Growing demand for AI profes ...

As wearable electronics migrate toward real-time health monitoring and seamless human–machine interfaces, conventional hydrogels freeze, dry out and fracture under daily conditions. Now, a ...

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 ...