Progress and Bottlenecks for Deep Learning in Computational Structure Biology: CASP Round XVI.

ABSTRACT: CASP16 is the most recent in a series of community experiments to rigorously assess the state of the art in areas of computational structural biology. The field has advanced enormously in recent years: in early CASPs, the assessments centered around whether the methods were at all useful. Now they mostly focus on how near we are to not needing experiments. In most areas, deep learning methods dominate, particularly AlphaFold variants and associated technology. In this round, there is no significant change in overall agreement between calculated monomer protein structures and their experimental counterparts, not because of method deficiencies but because, for most proteins, agreement is likely as high as can be obtained given experimental uncertainty. For protein complexes, huge gains in ac

SUBMITTER: Kryshtafovych A 

PROVIDER: S-EPMC12703882 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature