Researchers developed MassiveFold, an enhanced AlphaFold version optimized for parallel processing, which accelerates protein ...

But an idiosyncrasy in antibody structure meant this was just the first step. Antibodies are Y-shaped proteins and each arm ...

The last decade has seen a swell of biotech startups using AI to design proteins. These are seven companies to watch.

AK132 is an asymmetric bispecific antibody with a "1+1" valency, designed to simultaneously target and block CLDN18.2 and CD47. It features a wild-type IgG1 Fc structure and is currently ... (CLDN18.2 ...

The process of identifying promising small molecule drug candidates that target cancer checkpoints may become faster and ...

This study presents a valuable finding on the molecular mechanisms that govern GABAergic inhibitory synapse function. The authors propose that Endophilin A1 serves as a novel regulator of GABAergic ...

Hepatitis E Virus, or HEV, is a viral infection that generates inflammation of the liver. The disease is commonly transmitted through contact with contamin | Immunology ...

Researchers identified a unique antibody signature against the Epstein ... role of deep learning techniques in revolutionizing protein structure prediction. In this interview, conducted at SfN ...

Protein is a critical macronutrient that provides structure to the body’s tissues and organs. It’s also involved in various ...

The current US Supreme Court has no fundamental understanding of a range of medical, engineering, technological, or ...

Antibody proteomics advances vaccine research, revealing immune responses and identifying proteins essential for developing effective vaccines against diseases.

Notably, the 2024 Nobel Prize in Chemistry was awarded to three researchers recognized for how they used AI to predict the ...