ArticleSoft matter2014
Characterizing protein crystal contacts and their role in crystallization: rubredoxin as a case study.
Article in Soft matter, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Using AlphaFold and Symmetrical Docking to Predict Protein-Protein Interactions for Exploring Potential Crystallization Conditions.Proteins · 2025Article
- Charged peptides enriched in aromatic residues decelerate condensate ageing driven by cross-β-sheet formation.Nature communications · 2025Article
- Decorated networks of native proteins: nanomaterials with tunable mesoscopic domain size.Soft matter · 2021Article
- Toward the computational design of protein crystals with improved resolution.Acta crystallographica. Section D, Structural biology · 2019Article
- Temperature-Dependent Interactions Explain Normal and Inverted Solubility in a γD-Crystallin Mutant.Biophysical journal · 2019Article
- Protein and RNA dynamical fingerprinting.Nature communications · 2019Article
- Article
- The "Sticky Patch" Model of Crystallization and Modification of Proteins for Enhanced Crystallizability.Methods in molecular biology (Clifton, N.J.) · 2017Review
- Effect of the surface charge distribution on the fluid phase behavior of charged colloids and proteins.The Journal of chemical physics · 2016Article
- Computational crystallization.Archives of biochemistry and biophysics · 2016Review
- Utilisation of adsorption and desorption for simultaneously improving protein crystallisation success rate and crystal quality.Scientific reports · 2014Article
- Ion-activated attractive patches as a mechanism for controlled protein interactions.Scientific reports · 2014Article
- Statistical analysis of crystallization database links protein physico-chemical features with crystallization mechanisms.PloS one · 2014Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
The fields of structural biology and soft matter have independently sought out fundamental principles to rationalize protein crystallization. Yet the conceptual differences and the limited overlap between the two disciplines have thus far prevented a comprehensive understanding of the phenomenon to emerge. We conduct a computational study of proteins from the rubredoxin family that bridges the two fields. Using atomistic simulations, we characterize the protein crystal contacts, and accordingly parameterize patchy particle models. Comparing the phase diagrams of these schematic models with experimental results enables us to critically examine the assumptions behind the two approaches. The study also reveals features of protein–protein interactions that can be leveraged to crystallize proteins more generally.
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Registered trials
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