mlsanityData to 14 Oct 2026

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

arXiv 2605.05259 ↗First posted 6 May 2026q-bio.BM cond-mat.mtrl-sci cs.AIcited by 0

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Abstract (arXiv)

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.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 3 of its 25 references that are in the map. First posted on arXiv 6 May 2026.

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3 of 25 references.

References · 3

  1. 2022A Graph Neural Network Approach to Automated Model Building in Cryo-EM Mapscited by 3
  2. 2025CryoSAMU: Enhancing 3D Cryo-EM Density Maps of Protein Structures at Intermediate Resolution with Structure-Aware Multimodal U-Netscited by 2
  3. 2024Struc2mapGAN: improving synthetic cryo-EM density maps with generative adversarial networkscited by 1

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