Google DeepMind's AlphaFold protein folding software officially open-sourced with early release paper in Nature

From Ars Technica:

For decades, researchers have tried to develop software that can take a sequence of amino acids and accurately predict the structure it will form. Despite this being a matter of chemistry and thermodynamics, we've only had limited success—until last year. That's when Google's DeepMind AI group announced the existence of AlphaFold, which can typically predict structures with a high degree of accuracy.

At the time, DeepMind said it would give everyone the details on its breakthrough in a future peer-reviewed paper, which it finally released yesterday. In the meantime, some academic researchers got tired of waiting, took some of DeepMind's insights, and made their own. The paper describing that effort also was released yesterday.

Academic researchers implemented some of the ideas from AlphaFold themselves, and produced RoseTTAFold. 

Articles:

• Jumper, J., Evans, R., Pritzel, A. et al. Highly accurate protein structure prediction with AlphaFold. Nature (2021). DOI: 10.1038/s41586-021-03819-2
• Baek M., et al. Accurate prediction of protein structures and interactions using a three-track neural network. Science (2021). DOI: 10.1126/science.abj8754