ArticleMethods in enzymology2011
Preparation of protein samples for NMR structure, function, and small-molecule screening studies.
Article in Methods in enzymology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 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
68 citing papers in PubMed, 98 citations in OpenAlex.
- A pseudo-labeling approach for automated assignment of unlabeled proteins exceeding 100 amino acid residues.Magnetic resonance letters · 2027Article
- Assessing Metal Ion Assignment Accuracy in Protein Data Bank Models via Elemental Spectroscopy.Journal of chemical information and modeling · 2026Article
- RP3Net: a deep learning model for predicting recombinant protein production in Escherichia coli.Bioinformatics (Oxford, England) · 2026Article
- An NMR sample preparation case study: Considerations for the self-destructive protease caspase-6.PloS one · 2025Article
- Article
- Systematic enhancement of protein crystallization efficiency by bulk lysine-to-arginine (KR) substitution.Protein science : a publication of the Protein Society · 2024Article
- Using transition density models to interpret experimental optical spectra of exciton-coupled cyanine (iCy3)2 dimer probes of local DNA conformations at or near functional protein binding sites.Nucleic acids research · 2024Article
- The NS1 protein of influenza B virus binds 5'-triphosphorylated dsRNA to suppress RIG-I activation and the host antiviral response.bioRxiv : the preprint server for biology · 2024Article
- Mid-infrared chemical imaging of intracellular tau fibrils using fluorescence-guided computational photothermal microscopy.Light, science & applications · 2023Article
- Article
- Utilizing magnetic resonance techniques to study membrane interactions of amyloid peptides.Biochemical Society transactions · 2021Review
- Role of backbone strain in de novo design of complex α/β protein structures.Nature communications · 2021Article
- A double-stranded RNA platform is required for the interaction between a host restriction factor and the NS1 protein of influenza A virus.Nucleic acids research · 2020Article
- In-cell Solid-State NMR Studies of Antimicrobial Peptides.Frontiers in medical technology · 2020Review
- Article
- TheThe Journal of biological chemistry · 2019Article
- Antiparallel Coiled-Coil Interactions Mediate the Homodimerization of the DNA Damage-Repair Protein PALB2.Biochemistry · 2018Article
- NMR characterization of HtpG, the E. coli Hsp90, using sparse labeling withJournal of biomolecular NMR · 2017Article
- Solution NMR structure of RHE_CH02687 from Rhizobium etli: A novel flavonoid-binding protein.Proteins · 2017Article
- Article
8 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
29 authors at 2 institutions in 1 country.
Funding
Abstract
In this chapter, we concentrate on the production of high-quality protein samples for nuclear magnetic resonance (NMR) studies. In particular, we provide an in-depth description of recent advances in the production of NMR samples and their synergistic use with recent advancements in NMR hardware. We describe the protein production platform of the Northeast Structural Genomics Consortium and outline our high-throughput strategies for producing high-quality protein samples for NMR studies. Our strategy is based on the cloning, expression, and purification of 6×-His-tagged proteins using T7-based Escherichia coli systems and isotope enrichment in minimal media. We describe 96-well ligation-independent cloning and analytical expression systems, parallel preparative scale fermentation, and high-throughput purification protocols. The 6×-His affinity tag allows for a similar two-step purification procedure implemented in a parallel high-throughput fashion that routinely results in purity levels sufficient for NMR studies (>97% homogeneity). Using this platform, the protein open reading frames of over 17,500 different targeted proteins (or domains) have been cloned as over 28,000 constructs. Nearly 5000 of these proteins have been purified to homogeneity in tens of milligram quantities (see Summary Statistics, http://nesg.org/statistics.html), resulting in more than 950 new protein structures, including more than 400 NMR structures, deposited in the Protein Data Bank. The Northeast Structural Genomics Consortium pipeline has been effective in producing protein samples of both prokaryotic and eukaryotic origin. Although this chapter describes our entire pipeline for producing isotope-enriched protein samples, it focuses on the major updates introduced during the last 5 years (Phase 2 of the National Institute of General Medical Sciences Protein Structure Initiative). Our advanced automated and/or parallel cloning, expression, purification, and biophysical screening technologies are suitable for implementation in a large individual laboratory or by a small group of collaborating investigators for structural biology, functional proteomics, ligand screening, and structural genomics research.
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.