PhenixCraft Automates Cryo-EM Model Building with AlphaFold
A new fully automated pipeline, PhenixCraft, integrates AlphaFold predictions into the Phenix software to enhance cryo-EM density map segmentation for atomic model building. The method addresses noise and artifacts that typically hinder segmentation, achieving superior TM-scores and sequence accuracy compared to traditional approaches. The pipeline streamlines model building from cryo-EM data, reducing manual intervention and improving efficiency. The work is described in a preprint on arXiv (ID 2605.05259) under Quantitative Biology > Biomolecules.
Key facts
- PhenixCraft is a fully automated pipeline for building atomic models from cryo-EM density maps.
- It integrates AlphaFold predictions to enhance map segmentation in Phenix.
- The method addresses challenges posed by noise and artifacts in cryo-EM data.
- PhenixCraft demonstrates superior performance in TM-scores and sequence accuracy.
- It improves upon limitations and inefficiencies of traditional model building using Phenix.
- The preprint is available on arXiv with ID 2605.05259.
- The paper is categorized under Quantitative Biology > Biomolecules.
- The work involves integration of AI predictions into structural biology software.
Entities
Institutions
- Phenix
- AlphaFold
- arXiv