Introducing a Machine Learning-Based Tool for Accurate Protein Annotation
Today, a team of researchers from the Institute of Scientific Computing and Algorithms (ISCA) have released a machine learning-based tool that can accurately annotate proteins from raw sequence data. This tool, known as iAnnoPro, is capable of interpreting the vast amounts of data associated with protein sequences and accurately predicting various features of a protein such as its structure, function, and interaction partners. This breakthrough technology could revolutionize the way protein research is conducted, allowing scientists to rapidly and accurately annotate proteins in a much more efficient manner.
source: Phys.org