Proteins are not rigid sculptures—they’re dynamic, flexible machines that constantly change shape to do their jobs. From the precise order of amino acids to fluid, disordered regions, every structural ...

Proteins are life’s molecular machines, built from amino acids whose sequences and side chains dictate their structure and function. From essential dietary amino acids to complex folding patterns, ...

(spidroins) through long-read transcriptomics across a broad phylogenetic range, with theoretical implications for protein family evolution, biomaterials, and silk biology. By identifying putative ...

Egg cells need to store large amounts of proteins and other molecules to support the earliest stages of development. But how do they organize this supply? Egg cells have a dedicated storage system, ...

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 ...

Google DeepMind’s work with AlphaFold has been nothing short of a miracle, but it is computationally expensive. With that in mind, Apple researchers set off to develop an alternative method to use AI ...

This fully updated volume explores a wide array of new and state-of-the-art tools and resources for protein function prediction. Beginning with in-depth overviews of essential underlying computational ...

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 ...