91 citations · 113 across the 2 of their papers we have counts for
2 papers
q-bio.BM2018★ 91 cited
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…
q-bio.BM2013★ 22 cited
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…