ReviewActa crystallographica. Section F, Structural biology communications2014
Optimization of crystallization conditions for biological macromolecules.
Review in Acta crystallographica. Section F, Structural biology communications, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
37 citing papers in PubMed.
- Towards routine accurate electron-density studies of biological macromolecules.Acta crystallographica. Section D, Structural biology · 2026Article
- Crystallization and 1.6 Å resolution crystal structure of an acylated GLP-1/GIP analogue peptide.Acta crystallographica. Section F, Structural biology communications · 2026Article
- PEO-sheathed liquid jets increase sample delivery stability for serial femtosecond X-ray crystallography.Scientific reports · 2026Article
- Breaking barriers: transitioning from X-ray crystallography to cryo-EM for structural studies.Acta crystallographica. Section D, Structural biology · 2026Article
- Investigating Potential 5' UTR G-Quadruplexes Within NRF2 mRNA.Current issues in molecular biology · 2026Article
- Article
- Phase Diagrams as a DOE Tool in Biomolecular Crystallization.Advances in biochemical engineering/biotechnology · 2026Review
- Biomolecular Crystallisation Through Soft Templates and Seeding.Advances in biochemical engineering/biotechnology · 2026Review
- Impact of supersaturation on growth, critical radius, and size in neomycin nanoparticle crystallization using anti-solvent and CTAB.RSC advances · 2025Article
- Breaking Barriers: Transitioning from X-ray Crystallography to Cryo-EM for Structural Studies of ATAD2B.bioRxiv : the preprint server for biology · 2025Article
- Automation of protein crystallization scaleup via Opentrons-2 liquid handling.SLAS technology · 2025Article
- PDBe tools for an in-depth analysis of small molecules in the Protein Data Bank.Protein science : a publication of the Protein Society · 2025Article
- On-the-fly resolution enhancement in X-ray protein crystallography using electric field.European biophysics journal : EBJ · 2025Article
- Automated Nanoliter Volume Assay Optimization on a Cost-Effective Microfluidic Disc.Analytical chemistry · 2025Article
- Development of novel antimicrobials with engineered endolysin LysECD7-SMAP to combat Gram-negative bacterial infections.Journal of biomedical science · 2024Article
- Spectroscopic insights into multi-phase protein crystallization in complex lysate using Raman spectroscopy and a particle-free bypass.Frontiers in bioengineering and biotechnology · 2024Article
- PDBe CCDUtils: an RDKit-based toolkit for handling and analysing small molecules in the Protein Data Bank.Journal of cheminformatics · 2023Article
- The FUSION protein crystallization screen.Journal of applied crystallography · 2022Article
- Prediction and Modeling of Protein-Protein Interactions Using "Spotted" Peptides with a Template-Based Approach.Biomolecules · 2022Article
- Active site-specific quantum tunneling of hACE2 receptor to assess its complexing poses with selective bioactive compounds in co-suppressing SARS-CoV-2 influx and subsequent cardiac injury.Journal of advanced veterinary and animal research · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
For the successful X-ray structure determination of macromolecules, it is first necessary to identify, usually by matrix screening, conditions that yield some sort of crystals. Initial crystals are frequently microcrystals or clusters, and often have unfavorable morphologies or yield poor diffraction intensities. It is therefore generally necessary to improve upon these initial conditions in order to obtain better crystals of sufficient quality for X-ray data collection. Even when the initial samples are suitable, often marginally, refinement of conditions is recommended in order to obtain the highest quality crystals that can be grown. The quality of an X-ray structure determination is directly correlated with the size and the perfection of the crystalline samples; thus, refinement of conditions should always be a primary component of crystal growth. The improvement process is referred to as optimization, and it entails sequential, incremental changes in the chemical parameters that influence crystallization, such as pH, ionic strength and precipitant concentration, as well as physical parameters such as temperature, sample volume and overall methodology. It also includes the application of some unique procedures and approaches, and the addition of novel components such as detergents, ligands or other small molecules that may enhance nucleation or crystal development. Here, an attempt is made to provide guidance on how optimization might best be applied to crystal-growth problems, and what parameters and factors might most profitably be explored to accelerate and achieve success.
Indexed as
Identifiers
What OpenQuestion holds
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.