486 citations · 5.1k across the 96 of their papers we have counts for
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Using schematic models to understand the microscopic basis for inverted solubility in D-crystallin
Irem Altan, Jennifer McManus, Patrick Charbonneau
Inverted solubility--a crystal melting upon cooling--is observed in a handful of proteins, such as carbomonoxy hemoglobin and D-crystallin. In human D-crystallin, the phenome…
Temperature-dependent non-covalent protein-protein interactions explain normal and inverted solubility in a mutant of human gamma D-crystallin
Amir R. Khan, Susan James, Michelle K. Quinn +3
Protein crystal production is a major bottleneck for the structural characterisation of proteins. To advance beyond large-scale screening, rational strategies for protein crystalli…
Classification of crystallization outcomes using deep convolutional neural networks
Andrew E. Bruno, Patrick Charbonneau, Janet Newman +6
The Machine Recognition of Crystallization Outcomes (MARCO) initiative has assembled roughly half a million annotated images of macromolecular crystallization experiments from vari…
Computational Crystallization
Irem Altan, Patrick Charbonneau, Edward H. Snell
Crystallization is a key step in macromolecular structure determination by crystallography. While a robust theoretical treatment of the process is available, due to the complexity…
Statistical analysis of crystallization database links protein physico-chemical features with crystallization mechanisms
Diana Fusco, Timothy J. Barnum, Andrew E. Bruno +4
X-ray crystallography is the predominant method for obtaining atomic-scale information about biological macromolecules. Despite the success of the technique, obtaining well diffrac…