AF2Complex: Researchers Leverage Deep Learning to Predict Physical Interactions of Protein Complexes
A computational tool developed to predict the structure of protein complexes – the molecular machinery that makes life possible – is lending new insights into the biomolecular mechanisms of their function.
Researchers have developed and tested a new technique that allows them to determine the full profile of ribonucleotides -- RNA fragments -- embedded in genomic DNA.
New research from Georgia Aquarium and Georgia Institute of Technology provides evidence that a suite of techniques called “metabolomics” can be used to determine the health status of whale sharks, the world’s largest fish species.
With no biological program to drive it, physics forces multicellular clusters to reproduce and evolve.
