Putting AlphaFold models to work with phenix.process_predicted_model and ISOLDE.

ABSTRACT: AlphaFold has recently become an important tool in providing models for experimental structure determination by X-ray crystallography and cryo-EM. Large parts of the predicted models typically approach the accuracy of experimentally determined structures, although there are frequently local errors and errors in the relative orientations of domains. Importantly, residues in the model of a protein predicted by AlphaFold are tagged with a predicted local distance difference test score, informing users about which regions of the structure are predicted with less confidence. AlphaFold also produces a predicted aligned error matrix indicating its confidence in the relative positions of each pair of residues in the predicted model. The phenix.process_predicted_model tool downweights or removes lo

SUBMITTER: Oeffner RD 

PROVIDER: S-EPMC9629492 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature