ArticleJournal of natural products2021
Development of an NMR-Based Platform for the Direct Structural Annotation of Complex Natural Products Mixtures.
Article in Journal of natural products, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 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
24 citing papers in PubMed, 56 citations in OpenAlex.
- The perspective of artificial intelligence for NMR.Magnetic resonance letters · 2027Review
- Biochemometric 2D NMR-Based Heterocovariance Analysis: A Targeted Approach for Identifying Bioactive Compounds in Complex Mixtures.Analytical chemistry · 2025Article
- Advanced NMR Screening: Unveiling Bioactive Compounds in Complex Molecular Mixtures.ACS omega · 2025Review
- The Deep Mining Era: Genomic, Metabolomic, and Integrative Approaches to Microbial Natural Products from 2018 to 2024.Marine drugs · 2025Review
- Primed for Discovery.Biochemistry · 2024Review
- Plant antibacterials: The challenges and opportunities.Heliyon · 2024Review
- Accurate Prediction ofMetabolites · 2024Article
- Discovery of Streptomyces species CS-62, a novel producer of the Acinetobacter baumannii selective antibiotic factumycin.Journal of industrial microbiology & biotechnology · 2024Article
- Mapping ofMagnetic resonance in chemistry : MRC · 2023Article
- Strategies for the discovery of potential anticancer agents from plants collected from Southeast Asian tropical rainforests as a case study.Natural product reports · 2023Review
- Review
- Modern Trends in Natural Antibiotic Discovery.Life (Basel, Switzerland) · 2023Review
- Current Landscape of Methods to Evaluate Antimicrobial Activity of Natural Extracts.Molecules (Basel, Switzerland) · 2023Review
- Advances in Microbial NMR Metabolomics.Advances in experimental medicine and biology · 2023Article
- Problems, principles and progress in computational annotation of NMR metabolomics data.Metabolomics : Official journal of the Metabolomic Society · 2022Review
- Semisynthesis of Hypothemycin Analogues Targeting the C8-C9 Diol.Journal of natural products · 2022Review
- Discovery of Anticancer Agents of Diverse Natural Origin.Journal of natural products · 2022Article
- Dereplication of Fungal Metabolites by NMR-Based Compound Networking Using MADByTE.Journal of natural products · 2022Article
- Unveiling antiplasmodial alkaloids from a cumulative collection ofFrontiers in molecular biosciences · 2022Article
- Advances in decomposing complex metabolite mixtures using substructure- and network-based computational metabolomics approaches.Natural product reports · 2021Review
Corrections and comments
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Authors and funding
4 authors at 1 institution in 2 countries.
Funding
Abstract
The development of new "omics" platforms is having a significant impact on the landscape of natural products discovery. However, despite the advantages that such platforms bring to the field, there remains no straightforward method for characterizing the chemical landscape of natural products libraries using two-dimensional nuclear magnetic resonance (2D-NMR) experiments. NMR analysis provides a powerful complement to mass spectrometric approaches, given the universal coverage of NMR experiments. However, the high degree of signal overlap, particularly in one-dimensional NMR spectra, has limited applications of this approach. To address this issue, we have developed a new data analysis platform for complex mixture analysis, termed MADByTE (Metabolomics and Dereplication by Two-Dimensional Experiments). This platform employs a combination of TOCSY and HSQC spectra to identify spin system features within complex mixtures and then matches spin system features between samples to create a chemical similarity network for a given sample set. In this report we describe the design and construction of the MADByTE platform and demonstrate the application of chemical similarity networks for both the dereplication of known compound scaffolds and the prioritization of bioactive metabolites from a bacterial prefractionated extract library.
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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.