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Metabolomics Tools for Natural Product Discovery

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Cover of 'Metabolomics Tools for Natural Product Discovery'

Table of Contents

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    Book Overview
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    Chapter 1 Bryophytes: liverworts, mosses, and hornworts: extraction and isolation procedures.
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    Chapter 2 Plant Tissue Extraction for Metabolomics
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    Chapter 3 Detection of polar metabolites through the use of gas chromatography-mass spectrometry.
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    Chapter 4 A Robust GC-MS Method for the Quantitation of Fatty Acids in Biological Systems
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    Chapter 5 A Workflow from Untargeted LC-MS Profiling to Targeted Natural Product Isolation
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    Chapter 6 Lipidomics: extraction protocols for biological matrices.
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    Chapter 7 Metabolite Analysis of Biological Fluids and Tissues by Proton Nuclear Magnetic Resonance Spectroscopy
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    Chapter 8 NMR Spectroscopy: Structure Elucidation of Cycloelatanene A: A Natural Product Case Study
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    Chapter 9 NMR-Based Metabolomics: A Probe to Utilize Biodiversity.
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    Chapter 10 Extraction Protocol for Nontargeted NMR and LC-MS Metabolomics-Based Analysis of Hard Coral and Their Algal Symbionts.
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    Chapter 11 Determination of absolute configuration using single crystal X-ray diffraction.
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    Chapter 12 Natural product chemistry in action: the synthesis of melatonin metabolites k1 and k 2.
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    Chapter 13 Discovery, biosynthesis, and rational engineering of novel enterocin and wailupemycin polyketide analogues.
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    Chapter 14 Bioassays for anticancer activities.
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    Chapter 15 Screening for antidiabetic activities.
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    Chapter 16 Screening for Antibacterial, Antifungal, and Anti quorum Sensing Activity.
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    Chapter 17 Metabolomics Tools for Natural Product Discovery
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    Chapter 18 Bridging the gap: basic metabolomics methods for natural product chemistry.
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    Chapter 19 Strategies in Biomarker Discovery. Peak Annotation by MS and Targeted LC-MS Micro-Fractionation for De Novo Structure Identification by Micro-NMR.
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    Chapter 20 Metabolomics Tools for Natural Product Discovery
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

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