High-Throughput Screening to Obtain Crystal Hits for Protein Crystallography Article Swipe
Gabrielle R. Budziszewski
,
M. Elizabeth Snell
,
Tiffany R. Wright
,
Miranda L. Lynch
,
Sarah Bowman
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3791/65211
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3791/65211
X-ray crystallography is the most commonly employed technique to discern macromolecular structures, but the crucial step of crystallizing a protein into an ordered lattice amenable to diffraction remains challenging. The crystallization of biomolecules is largely experimentally defined, and this process can be labor-intensive and prohibitive to researchers at resource-limited institutions. At the National High-Throughput Crystallization (HTX) Center, highly reproducible methods have been implemented to facilitate crystal growth, including an automated high-throughput 1,536-well microbatch-under-oil plate setup designed to sample a wide breadth of crystallization parameters. Plates are monitored using state-of-the-art imaging modalities over the course of 6 weeks to provide insight into crystal growth, as well as to accurately distinguish valuable crystal hits. Furthermore, the implementation of a trained artificial intelligence scoring algorithm for identifying crystal hits, coupled with an open-source, user-friendly interface for viewing experimental images, streamlines the process of analyzing crystal growth images. Here, the key procedures and instrumentation are described for the preparation of the cocktails and crystallization plates, imaging the plates, and identifying hits in a way that ensures reproducibility and increases the likelihood of successful crystallization.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3791/65211
- https://www.jove.com/pdf/65211/high-throughput-screening-to-obtain-crystal-hits-for-protein
- OA Status
- hybrid
- Cited By
- 15
- References
- 31
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4323827993
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4323827993Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3791/65211Digital Object Identifier
- Title
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High-Throughput Screening to Obtain Crystal Hits for Protein CrystallographyWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-03-10Full publication date if available
- Authors
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Gabrielle R. Budziszewski, M. Elizabeth Snell, Tiffany R. Wright, Miranda L. Lynch, Sarah BowmanList of authors in order
- Landing page
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https://doi.org/10.3791/65211Publisher landing page
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https://www.jove.com/pdf/65211/high-throughput-screening-to-obtain-crystal-hits-for-proteinDirect link to full text PDF
- Open access
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YesWhether a free full text is available
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hybridOpen access status per OpenAlex
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https://www.jove.com/pdf/65211/high-throughput-screening-to-obtain-crystal-hits-for-proteinDirect OA link when available
- Concepts
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Crystallization, Computer science, Protein crystallization, Throughput, Crystal (programming language), Crystal growth, Process (computing), Materials science, Crystallography, Chemistry, Wireless, Programming language, Organic chemistry, Telecommunications, Operating systemTop concepts (fields/topics) attached by OpenAlex
- Cited by
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15Total citation count in OpenAlex
- Citations by year (recent)
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2025: 9, 2024: 5, 2023: 1Per-year citation counts (last 5 years)
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31Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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