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 ...

A poisonous red spitting cobra (Naja pallida) in front of a model of a toxic snake protein (orange) and a designed antitoxin protein. New proteins not found in nature have now been designed to ...

Although outbreaks of Ebola virus are rare, the disease is severe and often fatal, with few treatment options. Rather than targeting the virus itself, one promising therapeutic approach would be to ...

A biopharma company specializing in difficult-to-produce biologics has developed a deep learning model to rapidly predict protein expression using their moss-based production process. The model can ...

Researchers have engineered a next-generation glutamate sensor, iGluSnFR4, capable of detecting the faintest incoming ...

Spatial proteomics is the study of the spatial distribution of the proteins within cells and tissues. The subcellular localization of proteins is intrinsic to cellular function, making spatial ...

A game-changining achievement in genome science has identified over 140,000 distinct DNA loops in our cells, providing chromosome fold resolution that is among the best ever created. In this ongoing ...

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 ...

Every day, billions of damaged or unnecessary cells die and are swept away by the immune system’s cleanup crew—phagocytes. But when that clearance falters, dangerous cells can linger, fueling cancer ...

Overview of deep learning-based cell image analysis. A typical analysis pipeline consists of a retraining module and an inference module: the inference module directly produces estimated metrics.