ArticleBiochemistry2009
Protein nuclear magnetic resonance under physiological conditions.
Article in Biochemistry, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 37 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.
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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
37 citing papers in PubMed, 90 citations in OpenAlex.
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- Simulating Crowding In Vitro: Not an Elusive Goal Any Longer.Sub-cellular biochemistry · 2025Review
- Double Quantum Coherence ESR at Q-Band Enhances the Sensitivity of Distance Measurements at Submicromolar Concentrations.The journal of physical chemistry letters · 2023Article
- In-Cell Sensitivity-Enhanced NMR of Intact Viable Mammalian Cells.Journal of the American Chemical Society · 2021Article
- In-cell NMR as a sensitive tool to monitor physiological condition of Escherichia coli.Scientific reports · 2020Article
- Measuring the effects of macromolecular crowding on antibody function with biolayer interferometry.mAbs · 2019Article
- Controlling and quantifying protein concentration in Escherichia coli.Protein science : a publication of the Protein Society · 2019Article
- The Inescapable Effects of Ribosomes on In-Cell NMR Spectroscopy and the Implications for Regulation of Biological Activity.International journal of molecular sciences · 2019Review
- Applications of In-Cell NMR in Structural Biology and Drug Discovery.International journal of molecular sciences · 2019Review
- Improved sensitivity and resolution of in-cell NMR spectra.Methods in enzymology · 2019Article
- Enhancing fluorescent protein photostability through robot-assisted photobleaching.Integrative biology : quantitative biosciences from nano to macro · 2018Article
- Characterization of proteins by in-cell NMR spectroscopy in cultured mammalian cells.Nature protocols · 2016Article
- Intracellular pH modulates quinary structure.Protein science : a publication of the Protein Society · 2015Article
- Caught in action: selecting peptide aptamers against intrinsically disordered proteins in live cells.Scientific reports · 2015Article
- Specific ion effects on macromolecular interactions in Escherichia coli extracts.Protein science : a publication of the Protein Society · 2015Article
- Intrinsic site-selectivity of ubiquitin dimer formation.Protein science : a publication of the Protein Society · 2015Article
- In-cell ¹³C NMR spectroscopy for the study of intrinsically disordered proteins.Nature protocols · 2014Article
- Physicochemical properties of cells and their effects on intrinsically disordered proteins (IDPs).Chemical reviews · 2014Review
- Impact of reconstituted cytosol on protein stability.Proceedings of the National Academy of Sciences of the United States of America · 2013Article
Corrections and comments
- Erratum issued
Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
Almost everything we know about protein biophysics comes from studies on purified proteins in dilute solution. Most proteins, however, operate inside cells where the concentration of macromolecules can be >300 mg/mL. Although reductionism-based approaches have served protein science well for more than a century, biochemists now have the tools to study proteins under these more physiologically relevant conditions. We review a part of this burgeoning postreductionist landscape by focusing on high-resolution protein nuclear magnetic resonance (NMR) spectroscopy, the only method that provides atomic-level information over an entire protein under the crowded conditions found in cells.
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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.