English

Enhancing Cryo-EM Density Map Segmentation in Phenix for Improved Atomic Model Building

Biomolecules 2026-05-08 v1 Materials Science Artificial Intelligence Quantitative Methods

Abstract

We introduce PhenixCraft, a fully automated pipeline for building atomic models from cryo-EM density maps. By integrating AlphaFold predictions, we enhance the map-segmentation step in Phenix during model building, addressing challenges posed by noise and artifacts that traditionally hinder this step. Our results demonstrate PhenixCraft's superior performance in TM-scores and sequence accuracy, significantly improving upon the limitations and inefficiencies of traditional model building using Phenix.

Keywords

Cite

@article{arxiv.2605.05259,
  title  = {Enhancing Cryo-EM Density Map Segmentation in Phenix for Improved Atomic Model Building},
  author = {Chenwei Zhang},
  journal= {arXiv preprint arXiv:2605.05259},
  year   = {2026}
}

Comments

10 pages, 4 figures, 2 tables

R2 v1 2026-07-01T12:53:23.847Z