Protein's second role in inflammation could reshape treatment for Crohn's, arthritis and heart disease

A protein long understood to drive inflammation by producing nitric oxide has a second, previously unknown role—it physically ...

Room to move: Neutron scattering shows how proteins behave in crowded environments

Proteins are essential molecules in living systems. They move, interact and organize themselves to carry out a wide range of ...
eLife

New insights into the evolution of spider silk proteins illuminated by long-read transcriptomes

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

Protein 'dark energy' provides insight into form vs. function in structure

Astronomers use the term dark energy to refer to energy in the universe that is unaccounted for by ordinary matter but necessary to explain cosmology. Astronomy, however, isn't the only field with ...
IEEE

SSE-TSR: An Approach to Integrate Secondary Structure Elements into Triangular Spatial Relationships for Protein Classification

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

Largest protein classification in history finds 700,000 unknown structures

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 ...
BioSpace

Building the Next Generation of Biologics: Inside the Future of Protein Engineering

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 ...
9to5Mac

Apple researchers develop SimpleFold, a lightweight AI for protein folding prediction

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 ...
Purdue University

In Print: ‘Protein Function Prediction: Methods and Protocols’

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 ...
IEEE

HiPHD: Hierarchical Classification for Protein Remote Homology Detection by Incorporating Protein Sequential and Structural Information

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 ...
GEN

Protein Language Model Hits Undruggable Targets, No Structure Required

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 ...