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Related Concept Videos

Two-Dimensional (2D) NMR: Overview01:12

Two-Dimensional (2D) NMR: Overview

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The 1D NMR spectrum of large and complex molecules like natural products has complicated splitting patterns and overlapping signals, which can be easily interpreted using 2-dimensional (2D) NMR. Unlike 1D NMR, 2D NMR has two frequency axes that provide the coupling information between the nucleus A and nucleus B in a molecule. The process from which 2D spectra are obtained has four steps.
The first step is the preparation period, during which nucleus A is excited with a radiofrequency pulse....
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¹³C NMR: Distortionless Enhancement by Polarization Transfer (DEPT)01:20

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When proton-coupled carbon-13 spectra are simplified by a broadband proton decoupling technique, structural information about the coupled protons is lost. Distortionless enhancement by polarization transfer (DEPT) is a technique that provides information on the number of hydrogens attached to each carbon in a molecule. While the DEPT experiment utilizes complex pulse sequences, the pulse delay and flip angle are specifically manipulated. The resulting signals have different phases depending on...
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¹H NMR: Interpreting Distorted and Overlapping Signals01:02

¹H NMR: Interpreting Distorted and Overlapping Signals

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Spin systems where the difference in chemical shifts of the coupled nuclei is greater than ten times J are called first-order spin systems. These nuclei are weakly coupled, and their chemical shifts and coupling constant can generally be estimated from the well-separated signals in the spectrum.
As Δν decreases and the signals move closer, the doublets appear increasingly distorted. The intensities of the inner lines increase at the cost of those of the outer lines as the signals are...
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2D NMR: Overview of Homonuclear Correlation Techniques01:16

2D NMR: Overview of Homonuclear Correlation Techniques

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Homonuclear correlation spectroscopy (COSY) is a powerful technique used in Nuclear Magnetic Resonance (NMR) spectroscopy to study the correlations between nuclei of the same type within a molecule. It provides information about scalar couplings between adjacent nuclei, which helps determine connectivity and structural information. There are several COSY variants, each with its unique strengths and experimental parameters.
COSY90 is the standard two-dimensional (2D) COSY experiment that...
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¹H NMR of Conformationally Flexible Molecules: Temporal Resolution00:52

¹H NMR of Conformationally Flexible Molecules: Temporal Resolution

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At room temperature, the chair conformer of cyclohexane undergoes rapid ring flipping between two equivalent chair conformers at a rate of approximately 105 times per second. These two chair conformers are in equilibrium. The rapid ring flipping results in the interconversion of the axial proton to an equatorial proton and an equatorial to the axial proton. Such interconversions are too rapid and cannot be detected on the NMR timescale. Hence, the NMR spectrometer cannot distinguish between the...
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¹H NMR: Complex Splitting01:13

¹H NMR: Complex Splitting

1.8K
A proton M that is coupled to a proton X results in doublet signals for M. However, NMR-active nuclei can be simultaneously coupled to more than one nonequivalent nucleus. When M is coupled to a second proton A, such as in styrene oxide, each peak in the doublet is split into another doublet.
Splitting diagrams or splitting tree diagrams are routinely used to depict such complex couplings. While drawing splitting diagrams, the splitting with the larger coupling constant is usually applied...
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NMRMind: A Transformer-Based Model Enabling the Elucidation from Multidimensional NMR to Structures.

Xi Xue1,2, Hanyu Sun1,2, Jingying Sun1

  • 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, P. R. China.

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Summary
This summary is machine-generated.

NMRMind, a new AI framework, accurately deciphers molecular structures directly from NMR spectra. This powerful tool accelerates chemical discovery by interpreting complex Nuclear Magnetic Resonance (NMR) data with high precision.

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Area of Science:

  • Chemistry
  • Artificial Intelligence
  • Spectroscopy

Background:

  • Nuclear Magnetic Resonance (NMR) spectroscopy is crucial for molecular structure determination in chemical discovery.
  • Existing NMR interpretation models often struggle with accuracy and performance.
  • Advanced spectral analysis techniques are needed for precise structural characterization.

Purpose of the Study:

  • To introduce NMRMind, a Transformer-based generative framework for direct molecular structure elucidation from NMR data.
  • To develop a highly accurate and efficient AI model for interpreting complex NMR spectra.
  • To demonstrate the utility of NMRMind in discovering new chemical entities and understanding reaction mechanisms.

Main Methods:

  • Pretraining NMRMind on a large dataset of 45 million 1D NMR spectra.
  • Fine-tuning the model on a curated benchmark of 2.2 million 1D and 2D NMR spectra.
  • Employing a mixed-modality dropout strategy during the training process.

Main Results:

  • NMRMind achieved a Top-1 accuracy of 92.07% for structure elucidation across all input conditions.
  • The model maintained 85.10% Top-1 accuracy using only 1D and 2D NMR data.
  • NMRMind elucidated six new natural products and six unexpected synthetic products, demonstrating its practical applications.

Conclusions:

  • NMRMind represents a significant advancement in AI-driven NMR spectral interpretation.
  • The framework offers a powerful and generalizable platform for accelerating chemical research and discovery.
  • NMRMind expands accessible chemical space and provides novel insights into chemical mechanisms.