ArticleJournal of proteome research2016
NMRmix: A Tool for the Optimization of Compound Mixtures in 1D (1)H NMR Ligand Affinity Screens.
Article in Journal of proteome research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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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
10 citing papers in PubMed.
- NMR-Based Fragment Screening for RNA-Targeted Drug Discovery.Molecules (Basel, Switzerland) · 2026Review
- HT-SuMD: making molecular dynamics simulations suitable for fragment-based screening. A comparative study with NMR.Journal of enzyme inhibition and medicinal chemistry · 2021Article
- Applications of Solution NMR in Drug Discovery.Molecules (Basel, Switzerland) · 2021Review
- CcpNmr AnalysisScreen, a new software programme with dedicated automated analysis tools for fragment-based drug discovery by NMR.Journal of biomolecular NMR · 2020Article
- Fragment screening targeting Ebola virus nucleoprotein C-terminal domain identifies lead candidates.Antiviral research · 2020Article
- Systematic mapping of protein-metabolite interactions in central metabolism of Escherichia coli.Molecular systems biology · 2019Article
- Conserved Lipid and Small-Molecule Modulation of COQ8 Reveals Regulation of the Ancient Kinase-like UbiB Family.Cell chemical biology · 2018Article
- Current NMR Techniques for Structure-Based Drug Discovery.Molecules (Basel, Switzerland) · 2018Review
- Unique identifiers for small molecules enable rigorous labeling of their atoms.Scientific data · 2017Article
- Increasing rigor in NMR-based metabolomics through validated and open source tools.Current opinion in biotechnology · 2017Review
Corrections and comments
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Authors and funding
5 authors.
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Abstract
NMR ligand affinity screening is a powerful technique that is routinely used in drug discovery or functional genomics to directly detect protein-ligand binding events. Binding events can be identified by monitoring differences in the 1D (1)H NMR spectrum of a compound with and without protein. Although a single NMR spectrum can be collected within a short period (2-10 min per sample), one-by-one screening of a protein against a library of hundreds or thousands of compounds requires a large amount of spectrometer time and a large quantity of protein. Therefore, compounds are usually evaluated in mixtures ranging in size from 3 to 20 compounds to improve the efficiency of these screens in both time and material. Ideally, the NMR signals from individual compounds in the mixture should not overlap so that spectral changes can be associated with a particular compound. We have developed a software tool, NMRmix, to assist in creating ideal mixtures from a large panel of compounds with known chemical shifts. Input to NMRmix consists of an (1)H NMR peak list for each compound, a user-defined overlap threshold, and additional user-defined parameters if default settings are not used. NMRmix utilizes a simulated annealing algorithm to optimize the composition of the mixtures to minimize spectral peak overlaps so that each compound in the mixture is represented by a maximum number of nonoverlapping chemical shifts. A built-in graphical user interface simplifies data import and visual evaluation of the results.
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