Rosetta, the Pioneer of Protein Structure Prediction
Rosetta
The Rosetta suite has significantly transformed the landscape of computational structural biology by providing an integrated platform for protein structure prediction, design, and engineering. Initially developed for de novo protein folding simulations, Rosetta has evolved into a diverse ecosystem of tools that address a broad spectrum of biological questions, from understanding protein dynamics and stability to enabling the design of novel therapeutic molecules. Its success lies in the combination of physics-based energy functions, extensive conformational sampling, and algorithmic innovations that together replicate the complex interplay of forces governing protein structure. In this paper, I will introduce the myriad of tools derived from the Rosetta framework, exploring how each extension contributes uniquely to our capacity to model, predict, and even design biomolecules with high precision. This exploration not only underscores Rosetta’s pivotal role in advancing molecular biology research but also highlights its versatility in adapting to the ever-evolving challenges in the field.
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Rosetta, the Pioneer of Protein Structure Prediction
