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Updated: Jul 19, 2026

NMR-Based Fragment Screening in a Minimum Sample but Maximum Automation Mode
Published on: June 4, 2021
A program for the visualisation, extraction, and reporting of NMR data from plate chemistry samples
Michael A Bernstein1, Simon Stoddart
1AstraZeneca R&D Charnwood, Bakewell Road, Loughborough, Leics, LE11 5RH, UK. Michael.Bernstein@astrazeneca.com
This study introduces a new software program for analyzing one-dimensional (1D) Nuclear Magnetic Resonance (NMR) spectra. The tool simplifies data processing and reporting, especially for high-throughput screening in parallel chemistry.
Area of Science:
- Analytical Chemistry
- Spectroscopy
- Computational Chemistry
Background:
- Nuclear Magnetic Resonance (NMR) spectroscopy is a vital tool in chemistry.
- Analyzing large datasets of 1D NMR spectra can be time-consuming and complex.
- Efficient data management is crucial for high-throughput chemical analysis.
Purpose of the Study:
- To present a novel software program for the comprehensive analysis of 1D NMR spectra.
- To offer an intuitive platform for data visualization, reduction, and reporting.
- To specifically address the challenges of analyzing spectra from microtitre plate samples in parallel chemistry.
Main Methods:
- Development of a user-friendly software interface for 1D NMR data.
- Implementation of features for spectral display, data reduction, and report generation.
- Adaptation of the program for efficient processing of multiple spectra from microtitre plates.
Main Results:
- The program provides an intuitive environment for viewing and analyzing 1D NMR spectra.
- It effectively assists in data reduction and reporting, streamlining the workflow.
- A unique approach is employed for handling multiple spectra from microtitre plates, enhancing usability.
Conclusions:
- The developed program offers an effective and user-friendly solution for 1D NMR spectral analysis.
- It is particularly beneficial for quality control in parallel chemistry and high-throughput screening.
- The software facilitates quick overviews of NMR data, improving analytical efficiency.
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