ArticleJournal of visualized experiments : JoVE2023
High-Throughput Screening to Obtain Crystal Hits for Protein Crystallography.
Article in Journal of visualized experiments : JoVE, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
9 citing papers in PubMed.
- AlphaFold as a prior: experimental structure determination conditioned on a pretrained neural network.Nature methods · 2026Article
- Structural and oligomeric characterization of substrate- and product-selective nylon hydrolases.bioRxiv : the preprint server for biology · 2026Article
- Denoising and iterative phase recovery reveal low-occupancy populations in protein crystals.Communications biology · 2025Article
- Preparing for successful protein crystallization experiments.Acta crystallographica. Section F, Structural biology communications · 2025Article
- Article
- Ascertaining a Structural Basis in Drug Discovery and Development.Journal of medicinal chemistry · 2025Article
- Identification and characterization of substrate- and product-selective nylon hydrolases.bioRxiv : the preprint server for biology · 2024Article
- Preparing research samples for safe arrival at centers and facilities: recipes for successful experiments.Acta crystallographica. Section F, Structural biology communications · 2024Article
- Systematic enhancement of protein crystallization efficiency by bulk lysine-to-arginine (KR) substitution.Protein science : a publication of the Protein Society · 2024Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
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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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.