A team of researchers has developed a method that could transform the field of protein engineering. The new approach, called AI-informed Constraints for protein Engineering (AiCE), enables rapid and ...

A research team engineered a rigid, nanometer-scale protein module to address the challenge of measuring antibody flexibility ...

Precise methods for shredding or repairing and replacing specific cancer-causing proteins in a malignant cell, developed at ...

New method accelerates protein engineering by using structural and evolutionary constraints in inverse folding models without training specialized AI systems. (Nanowerk News) A team of Chinese ...

By extending a naturally rigid bacterial protein by 50% while preserving geometry and stability, the study introduces protein ...

Their overview highlights innovative methods based on B-factor analysis, ancestral sequence reconstruction (ASR), and machine learning (ML), providing tools to design enzymes that withstand high ...

Biotech advances from UT’s new Deep Proteins group are changing the game with help from artificial intelligence. Researchers study the three dimensional structures of molecules on a wall-sized video ...

Proteins are workhorses that carry out most of the biological functions in our cells. While the genes we inherit from our parents, our so-called genome, are fixed and usually remain unchanged ...

Protein barcodes are short, information- rich stretches of amino acids encoded by DNA sequences that can be added to the DNA sequences coding for proteins. Then, when protein barcode DNA and protein ...

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 ...