ArticleProteins2025
Using AlphaFold and Symmetrical Docking to Predict Protein-Protein Interactions for Exploring Potential Crystallization Conditions.
Article in Proteins, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed.
- Shoebill: an interpretable AlphaFold2-informed predictor of protein crystallization propensity using XGBoost.Briefings in bioinformatics · 2026Article
- Using AlphaFold and Symmetrical Docking to Predict Protein-Protein Interactions for Exploring Potential Crystallization Conditions.Proteins · 2025Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Protein crystallization remains a major bottleneck in X-ray crystallography due to difficulties in achieving favorable molecular arrangements within the crystal lattice. While protein-protein interactions at molecular packing interfaces are crucial for determining crystallization conditions, methods for predicting crystal packing interfaces and systematically exploring crystallization conditions remain limited. In this study, we present MASCL (Molecular Assembly Simulation in Crystal Lattice), a novel approach that integrates AlphaFold with symmetrical docking to simulate crystal packing. To evaluate packing quality, we introduced PackQ, a stringent metric based on the DockQ framework, where models with scores above 0.36 are considered successful. In benchmark tests on P4
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Registered trials
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