ArticleActa crystallographica. Section D, Structural biology2016
Lessons from ten years of crystallization experiments at the SGC.
Article in Acta crystallographica. Section D, Structural biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Developments and challenges in hit progression within fragment-based drug discovery.Nature communications · 2026Review
- The Starting Point for Biomolecular Crystallisation.Advances in biochemical engineering/biotechnology · 2026Review
- A Computational Approach to Identify Novel Protein Targets Uncovers New Potential Mechanisms of Action of Mirtazapine S(+) and R(-) Enantiomers in Rett Syndrome.Journal of neurochemistry · 2025Article
- Revealing protein structures: crystallization of protein-ligand complexes - co-crystallization and crystal soaking.FEBS open bio · 2025Article
- CHiMP: deep-learning tools trained on protein crystallization micrographs to enable automation of experiments.Acta crystallographica. Section D, Structural biology · 2024Article
- Moving beyond MARCO.PloS one · 2023Article
- Conformational changes of loops highlight a potential binding site in Rhodococcus equi VapB.Acta crystallographica. Section F, Structural biology communications · 2021Article
- ALK2 Receptor Kinase Association with FKBP12.6 Is Structurally Conserved with the ALK2-FKBP12 Complex.Biomedicines · 2021Article
- A fully automated crystallization apparatus for small protein quantities.Acta crystallographica. Section F, Structural biology communications · 2021Article
- Crowdsourcing and open innovation in drug discovery: recent contributions and future directions.Drug discovery today · 2020Review
- A comparative anatomy of protein crystals: lessons from the automatic processing of 56 000 samples.IUCrJ · 2019Article
- BLASTing away preconceptions in crystallization trials.Acta crystallographica. Section F, Structural biology communications · 2019Article
- Critical evaluation of bioinformatics tools for the prediction of protein crystallization propensity.Briefings in bioinformatics · 2018Review
- Cinder: keeping crystallographers app-y.Acta crystallographica. Section F, Structural biology communications · 2018Article
- Article
- Crystallophore: a versatile lanthanide complex for protein crystallography combining nucleating effects, phasing properties, and luminescence.Chemical science · 2017Article
- Can the propensity of protein crystallization be increased by using systematic screening with metals?Protein science : a publication of the Protein Society · 2017Review
- Gentle, fast and effective crystal soaking by acoustic dispensing.Acta crystallographica. Section D, Structural biology · 2017Article
- Guidelines for the successful generation of protein-ligand complex crystals.Acta crystallographica. Section D, Structural biology · 2017Review
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4 authors.
Funding
Abstract
Although protein crystallization is generally considered more art than science and remains significantly trial-and-error, large-scale data sets hold the promise of providing general learning. Observations are presented here from retrospective analyses of the strategies actively deployed for the extensive crystallization experiments at the Oxford site of the Structural Genomics Consortium (SGC), where comprehensive annotations by SGC scientists were recorded on a customized database infrastructure. The results point to the importance of using redundancy in crystallizing conditions, specifically by varying the mixing ratios of protein sample and precipitant, as well as incubation temperatures. No meaningful difference in performance could be identified between the four most widely used sparse-matrix screens, judged by the yield of crystals leading to deposited structures; this suggests that in general any comparison of screens will be meaningless without extensive cross-testing. Where protein sample is limiting, exploring more conditions has a higher likelihood of being informative by yielding hits than does redundancy of either mixing ratio or temperature. Finally, on the logistical question of how long experiments should be stored, 98% of all crystals that led to deposited structures appeared within 30 days. Overall, these analyses serve as practical guidelines for the design of initial screening experiments for new crystallization targets.
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