CryoPROS: Correcting misalignment caused by preferred orientation using AI-generated auxiliary particles.

ABSTRACT: The preferred orientation phenomenon is a common issue in cryo-EM, posing a persistent challenge to conventional reconstruction methods. In this study, we introduce cryoPROS, a computational framework designed to correct misalignment caused by preferred orientation through co-refining the raw and auxiliary particles. These auxiliary particles, generated using a self-supervised deep generative model, enhance the alignment accuracy of particles in datasets affected by preferred orientation. CryoPROS achieved near-atomic resolution with the untilted HA-trimer dataset and successfully resolved high-resolution structures from three experimental datasets, including P001-Y, Na_X, and hormone-sensitive lipase dimer, all affected by preferred orientation issues. Extensive experiments vali

SUBMITTER: Zhang H 

PROVIDER: S-EPMC12084624 | biostudies-literature | 2025 May

REPOSITORIES: biostudies-literature