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 ...

Advancements in machine learning are reshaping protein structure prediction, offering efficient tools that enhance drug ...

Because it only takes nanoseconds to microseconds for a protein to morph along its path to its final structure, the scientists needed to slow down the process during their analysis to be able to catch ...

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

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

Rice University researchers have revealed novel sequence-structure-property relationships for customizing engineered living ...

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.

Monoclonal antibodies, or mAbs, are important tools in medicine. These laboratory-made proteins are widely used in treatments for diseases such as cancer, Alzheimer's disease, autoimmune disorders and ...

Researchers have revealed novel sequence-structure-property relationships for customizing engineered living materials (ELMs), enabling more precise control over their structure and how they respond to ...