PhenixCraft pipeline enhances cryo-EM density map segmentation using AlphaFold

Researchers have developed PhenixCraft, an automated pipeline designed to improve the process of building atomic models from cryo-electron microscopy (cryo-EM) density maps. This new method integrates predictions from AlphaFold to enhance the map-segmentation step within the existing Phenix software. The pipeline aims to overcome challenges presented by noise and artifacts, demonstrating improved performance in TM-scores and sequence accuracy compared to traditional Phenix model building. AI

影响 Enhances atomic model building from cryo-EM data by integrating AI predictions, potentially accelerating biological research.

排序理由 This is a research paper detailing a new method for a specific scientific task. [lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

• AlphaFold
• Phenix
• PhenixCraft

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