Proteins are the workhorses of biological systems, performing essential functions ranging from structural support to enzymatic catalysis and cellular communication. Accurate characterization of ...

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

A study published in December by Duke professor Rohit Singh and his team proposes a new computational model called antibody ...

The simplest way to decipher the code would be to start with an mRNA molecule of known sequence, use it to direct the synthesis of a protein, and then determine the amino acid sequence of the ...

Protein sequencing is a lot more challenging. Nucleic acids have uniform negatively charged backbones, which means that electrophoretic force is enough to move nucleic acids through a nanopore.

and the researchers can link the changes to a specific sequence of amino acids in their designed peptide. The target peptide is read in this way multiple times, threading back through the pore as the ...

This study demonstrates how NGPS and I2MS provide complementary insights into the amino acid sequence, post-translational modifications, and proteoform variation of IL-6, paving the way for deeper ...