Fruit flies, mice, zebrafish, yeast and the tiny worm C. elegans are model organisms that have carried modern biology on ...

A protein that is a key modulator of fat, glucose and cholesterol levels in the body usually works in tandem with another ...

Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.

Australian food scientists are working to overhaul how dietary fibre is classified beyond soluble and insoluble to better inform nutrition choices and support development of functional foods in a ...

Abstract: Protein structures are fundamental to understanding biological function, yet many detailed similarities remain hidden from conventional alignment-based or 3D superposition methods.

Scientists have just organized an enormous collection of predicted protein shapes into families, using artificial intelligence and a powerful new comparison method. Working from AlphaFold models ...

As bispecifics, ADCs, protein degraders, and AI-designed mini-proteins move into the clinic, discovery teams face a new bottleneck: engineering and producing molecules whose complexity challenges ...

Antibiotic resistance is emerging as a critical global public health threat. The precise prediction of bacterial antibiotic resistance genes (ARGs) and phenotypes is essential to understand resistance ...

Abstract: Protein remote homology detection is crucial in various biological tasks, such as protein function annotation and structure prediction. Computational methods have been developed to improve ...

Pranam Chatterjee, PhD, assistant professor of bioengineering at the University of Pennsylvania (UPenn), emphasizes that text is all you need for artificial intelligence (AI) models to effectively ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Sodium transporters maintain cellular homeostasis by transporting ions, minerals, and ...