:
For two decades, Rosetta has consistently been at the forefront of protein structure prediction. While it has become a
very large package comprising programs, scripts, and tools, for different types of macromolecular modelling such as ligand
docking, protein-protein docking, protein design, and loop modelling, it started as the implementation of an algorithm for ab
initio protein structure prediction. The term ’Rosetta’ appeared for the first time twenty years ago in the literature to describe that
algorithm and its contribution to the third edition of the community wide Critical Assessment of techniques for protein Structure
Prediction (CASP3). Similar to the Rosetta stone that allowed deciphering the ancient Egyptian civilisation, David Baker and his
co-workers have been contributing to deciphering ’the second half of the genetic code’. Although the focus of Baker’s team has
expended to de novo protein design in the past few years, Rosetta’s ‘fame’ is associated with its fragment-assembly protein
structure prediction approach. Following a presentation of the main concepts underpinning its foundation, especially sequencestructure correlation and usage of fragments, we review the main stages of its developments and highlight the milestones it has
achieved in terms of protein structure prediction, particularly in CASP.