Natural Product Structure Elucidation and Discovery

Natural products continue to serve as a rich reservoir of structurally diverse molecules with applications ranging from therapeutics and agrochemicals to cosmeceuticals and nutraceuticals. The process of discovering and elucidating the structures of these compounds encompasses sampling and extraction from complex biological matrices, purification through chromatographic techniques, and detailed spectroscopic and computational analyses. Key experimental methods include nuclear magnetic resonance (NMR) spectroscopy and mass spectrometry (MS), often coupled with X-ray crystallography when crystalline material is available. In parallel, advances in genomics and metabolomics have enabled genome mining and comparative metabolite profiling to guide targeted isolation efforts. Computational tools—from chemoinformatics platforms that predict likely structures to machine-learning algorithms that accelerate dereplication and assign stereochemistry—have greatly reduced the time and resources required for characterisation. Together, these complementary approaches streamline the transition from crude extract to defined chemical entity, underpinning the ongoing search for novel natural products that address unmet needs in medicine, agriculture and biotechnology.

Research from Nature Portfolio

Recent studies have demonstrated significant strides in automating spectroscopic data interpretation and expanding dereplication capabilities. Novel software for deconvoluting multi-dimensional NMR spectra now achieves peak detection accuracy on par with expert spectroscopists, enabling rapid extraction of chemical shifts and coupling patterns even in highly overlapped regions. This interactive tool integrates seamlessly with existing processing pipelines to transform raw data into annotated spectra and peak lists with minimal manual intervention. In parallel, new algorithms for mass-spectral dereplication have extended identification beyond simple peptide natural products to include polyketides, terpenes, alkaloids and flavonoids. By mining large public spectral networks, these methods cross-validate genomic predictions and uncover previously overlooked compounds, significantly accelerating the recognition of known metabolites and highlighting novel candidates for further study.

Natural Product Structure Elucidation and Discovery publication trend

The graph below shows the total number of articles in natural product structure elucidation and discovery across all publications each year (not limited to Nature Index journals).

Technical terms

Nuclear magnetic resonance (NMR) spectroscopy: Analytical technique that exploits the magnetic properties of atomic nuclei to determine molecular structure and dynamics.

Mass spectrometry (MS/MS): Method for measuring mass-to-charge ratios of ionised fragments, used to infer molecular weight and substructural information.

Dereplication: Early identification of known compounds within complex mixtures to prioritise novel entities for full characterisation.

Chemoinformatics: Computational discipline applying data-driven algorithms and databases to predict molecular properties and guide compound discovery.

Metabolomics: Systematic study of small-molecule profiles in biological samples, enabling comparative analysis of metabolic changes and novel compound detection.

Genome mining: Bioinformatic exploration of genomic data to predict biosynthetic gene clusters and associated natural products.

References

1. UnidecNMR: automatic peak detection for NMR spectra in 1-4 dimensions. Nature Communications (2025).
2. In Silico Methodologies to Improve Antioxidants’ Characterization from Marine Organisms. Antioxidants (2023).
3. Translating community-wide spectral library into actionable chemical knowledge: a proof of concept with monoterpene indole alkaloids. Journal of Cheminformatics (2025).
4. Advanced Methods for Natural Products Discovery: Bioactivity Screening, Dereplication, Metabolomics Profiling, Genomic Sequencing, Databases and Informatic Tools, and Structure Elucidation. Marine Drugs (2023).