Proteins are the end products of the decoding process that starts with the information in cellular DNA. As workhorses of the cell, proteins compose structural and motor elements in the cell, and they ...

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 ...

Proteomics is the large-scale study of proteins, particularly their structures and functions. It involves the systematic identification, quantification, and analysis of the entire protein complement ...

Proteins are essential macromolecules that play a crucial role in virtually all biological processes. They are the building blocks of life, performing a wide range of functions within organisms, from ...

Protein engineering is a powerful biotechnological process that focuses on creating new enzymes or proteins and improving the functions of existing ones by manipulating their natural macromolecular ...

Within the past few years, models that can predict the structure or function of proteins have been widely used for a variety of biological applications, such as identifying drug targets and designing ...

Researchers recently published findings that could lay the groundwork for applying quantum computing methods to protein structure prediction. Researchers from Cleveland Clinic and IBM recently ...

A grayscale ribbon representation of a protein with space filling representations of a steroid (orange) and β-lactamase active site (green). One of the hormone-binding protein switches Credit: Kirill ...

In genetics, one harmful variant can be enough to cause disease—but two can make it far more severe. One notable example is KJ, an infant diagnosed with a rare urea cycle disorder with a grim ...

The 2024 Nobel Prize in chemistry recognized Demis Hassabis, John Jumper and David Baker for using machine learning to tackle one of biology’s biggest challenges: predicting the 3D shape of proteins ...