Alphafold models of small proteins rival the accuracy of solution nmr structures

HIGHLIGHTS

SUMMARY

In CASP14, the next-generation AlphaFold2 methods demonstrated outstanding performance in protein structure prediction (Kryshtafovych et_al, 2021; Pereira et_al, 2021). In the 2020 Critical Assessment of Protein_Structure Prediction (CASP14), the DeepMind AlphaFold2 (AF2) deep learning method (Jumper et_al, 2021a; Jumper et_al, 2021b) demonstrated outstanding performance in blind predictions of protein structure, delivering excellent structural matches to experimental models derived from X-ray crystallography, NMR, and cryoEM data, over a wide range of target difficulty (Kryshtafovych et_al, 2021). It was also quickly recognized that the structures of protein-protein complexes and multimeric assemblies can often . . .

 



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