NMR Spectroscopy for the Validation of AlphaFold2 Structures.

ABSTRACT: The introduction of AlphaFold has fundamentally changed our ability to predict the structure of proteins from their primary sequence of amino acids. As machine learning (ML) and artificial intelligence (AI) based protein prediction continues to advance, we examine the potential of hybrid techniques that combine experiment and computation that may yield more accurate structures than AI alone with significantly reduced experimental burden. We have developed heuristics comparing N-edited NOESY spectra and AlphaFold predicted structures that seek to determine whether the predicted structure reasonably describes the structure of the protein which generated the NOESY. We present a large collection of data connecting entries across the BMRB, PDB and AlphaFold Database that includes experimentally

SUBMITTER: Williams J 

PROVIDER: S-EPMC11838581 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature