Lessons from high-throughput protein crystallization screening: 10 years of practical experience
Introduction: X-ray crystallography provides the majority of our structural biological
knowledge at a molecular level and, in terms of pharmaceutical design, is a valuable tool to …
knowledge at a molecular level and, in terms of pharmaceutical design, is a valuable tool to …
Classification of crystallization outcomes using deep convolutional neural networks
The Machine Recognition of Crystallization Outcomes (MARCO) initiative has assembled
roughly half a million annotated images of macromolecular crystallization experiments from …
roughly half a million annotated images of macromolecular crystallization experiments from …
[PDF][PDF] 20 years of crystal hits: progress and promise in ultrahigh-throughput crystallization screening
Diffraction-based structural methods contribute a large fraction of the biomolecular structural
models available, providing a critical understanding of macromolecular architecture. These …
models available, providing a critical understanding of macromolecular architecture. These …
What's in a drop? Correlating observations and outcomes to guide macromolecular crystallization experiments
Observations of crystallization experiments are classified as specific outcomes and
integrated through a phase diagram to visualize solubility and thereby direct subsequent …
integrated through a phase diagram to visualize solubility and thereby direct subsequent …
Computational crystallization
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 of the …
While a robust theoretical treatment of the process is available, due to the complexity of the …
Protein crystallization analysis on the world community grid
CA Cumbaa, I Jurisica - Journal of structural and functional genomics, 2010 - Springer
We have developed an image-analysis and classification system for automatically scoring
images from high-throughput protein crystallization trials. Image analysis for this system is …
images from high-throughput protein crystallization trials. Image analysis for this system is …
Learning deep convolutional neural networks for x-ray protein crystallization image analysis
Obtaining a protein's 3D structure is crucial to the understanding of its functions and
interactions with other proteins. It is critical to accelerate the protein crystallization process …
interactions with other proteins. It is critical to accelerate the protein crystallization process …
[PDF][PDF] Applications of the second virial coefficient: protein crystallization and solubility
WW Wilson, LJ DeLucas - Acta Crystallographica Section F …, 2014 - journals.iucr.org
This article begins by highlighting some of the ground-based studies emanating from
NASA's Microgravity Protein Crystal Growth (PCG) program. This is followed by a more …
NASA's Microgravity Protein Crystal Growth (PCG) program. This is followed by a more …
[HTML][HTML] Identifying, studying and making good use of macromolecular crystals
Structural biology has contributed tremendous knowledge to the understanding of life on the
molecular scale. The Protein Data Bank, a depository of this structural knowledge, currently …
molecular scale. The Protein Data Bank, a depository of this structural knowledge, currently …
Machine Learning for In Silico Modeling of Tumor Growth
F Jeanquartier, C Jean-Quartier, M Kotlyar… - Machine Learning for …, 2016 - Springer
The various interplaying variables of tumor growth remain key questions in cancer research,
in particular what makes such a growth malignant and what are possible therapies to stop …
in particular what makes such a growth malignant and what are possible therapies to stop …