Northwestern University researchers have identified structural features in engineered cell receptors that correlate with variations in receptor function.

it can also be used to answer basic questions that probe relationships between individual amino acids and protein structure or function. Here we will focus on this application, highlighting recent ...

Using protein structure prediction tools, researchers have uncovered receptor structure-function relationships to improve ...

The latest version of Google DeepMind and Isomorphic Labs’ AlphaFold model can predict the structure and relationships not only of proteins, but “all of life’s molecules”, according to its ...

Learn how analytical methodologies can be used to identify RSV pre- and post-fusion proteins for vaccine development.

Covalent bonding is a widely understood phenomenon that joins the atoms of a molecule by a shared electron pair. But in ...

Introduction Definition of Peptides Peptides are short chains of amino acids linked by peptide bonds, typically consisting of 2 to ...

Advancements in machine learning are reshaping protein structure prediction, offering efficient tools that enhance drug discovery and understanding of diseases.

Scientists uncover how the nucleolus, a tiny structure within cells, may control aging and lifespan, opening new ...

The information DNA contains is the instructions that the cell uses to make proteins. Proteins play a big part in determining the characteristics of specialised cells and whole organisms.

Zhang and his colleagues designed a generative AI model called ChromoGen to quickly ‘read’ DNA sequences and predict the ...