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Updated: Oct 11, 2025
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Atomic Scale Structural Studies of Macromolecular Assemblies by Solid-state Nuclear Magnetic Resonance Spectroscopy
Published on: September 17, 2017
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Cross-Modal Retrieval between 13C NMR Spectra and Structures for Compound Identification Using Deep Contrastive
Zhuo Yang1, Jianfei Song2, Minjian Yang1
1State Key Laboratory of Bioactive Substances and Functions of Natural Medicines, Institute of Materia Medica, Peking Union Medical College and Chinese Academy of Medical Sciences. Beijing 100050, China.
Analytical Chemistry
|November 29, 2021
Summary
We developed a novel system (CReSS) for matching carbon-13 nuclear magnetic resonance (13C NMR) spectra directly to molecular structures. This approach accelerates compound identification by searching large structure libraries efficiently.
Area of Science:
- Chemistry
- Computational Chemistry
- Spectroscopy
Background:
- Library matching of 13C NMR spectra is crucial for compound identification.
- Existing methods require extensive libraries of both structures and spectra, which are costly and time-consuming to create.
- A direct matching approach between 13C NMR spectra and molecular structures is needed.
Purpose of the Study:
- To develop a novel system for directly matching 13C NMR spectra against molecular structure libraries.
- To enable efficient searching of large molecular structure databases using spectral data.
- To overcome the limitations of existing library matching methods in compound identification.
Main Methods:
- Developed a cross-modal retrieval between spectrum and structure (CReSS) system.
- Utilized deep contrastive learning for spectrum-structure matching.
- Tested CReSS by searching 41,494 13C NMR spectra against a library of 10.4 million compounds.
Main Results:
- CReSS achieved a recall@10 accuracy of 91.64% with a processing speed of 0.114 seconds per spectrum.
- Incorporating a molecular weight filter improved recall@10 accuracy to 98.39%.
- Demonstrated potential in novel structure scaffold detection and structural revision tasks.
Conclusions:
- The CReSS system effectively bridges the gap between 13C NMR spectra and molecular structures.
- CReSS offers a faster and more efficient alternative for compound identification.
- The system shows broad applicability in chemical research and drug discovery.
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