The impact of AlphaFold2 one year on

By David T. Jones, Janet M. Thornton. 2022

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State-specific protein–ligand complex structure prediction with a multiscale deep generative model (2022, neutral): “Despite remarkable success in predicting protein static structures, such a single-structure formulation of the protein folding problem provides incomplete information about protein function and is also found to be insufficient for structure-based drug design 10–12 .”
AlphaFold Models of Small Proteins Rival the Accuracy of Solution NMR Structures (2022, background): “…2016; Buchan and Jones, 2018), the massive and still growing databases of genomic sequence data, and the rapidly growing Protein Data Bank of experimental protein structures, these methods are being recognized as major advances enabling new structural biology research (Jones and Thornton, 2022).”
The debate over understanding in AI’s large language models (2022, background): “If LLMs and related models succeed by exploiting statistical correlations at a heretofore unthinkable scale, perhaps this could be considered a novel form of “understanding”, one that enables extraordinary, superhuman predictive ability, such as in the case of the AlphaZero and AlphaFold systems fro”