ArticleIUCrJ2022
A general method for directly phasing diffraction data from high-solvent-content protein crystals.
Article in IUCrJ, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Direct Phasing of Protein Crystals with Continuous Iterative Projection Algorithms and Refined Envelope Reconstruction.Biomolecules · 2026Article
- Direct Phasing of Protein Crystals with Hybrid Difference Map Algorithms.Molecules (Basel, Switzerland) · 2026Article
- Genetic Algorithm-Enhanced Direct Method in Protein Crystallography.Molecules (Basel, Switzerland) · 2025Article
- Analysis of crystallographic phase retrieval using iterative projection algorithms.Acta crystallographica. Section D, Structural biology · 2024Article
- Deep-learning map segmentation for protein X-ray crystallographic structure determination.Acta crystallographica. Section D, Structural biology · 2024Article
- CrysFormer: Protein structure determination via Patterson maps, deep learning, and partial structure attention.Structural dynamics (Melville, N.Y.) · 2024Article
- SARS-CoV-2 proteins structural studies using synchrotron radiation.Biophysical reviews · 2023Review
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2 authors.
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Abstract
A procedure is described for direct phase determination in protein crystallography, applicable to crystals with high solvent content. The procedure requires only the diffraction data and an estimate of the solvent content as input. Direct phase determination is treated as a constraint satisfaction problem, in which an image is sought that is consistent with both the diffraction data and generic constraints on the density distribution in the crystal. The problem is solved using an iterative projection algorithm, the
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