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Related Experiment Video

Updated: Nov 8, 2025

NMR-Based Fragment Screening in a Minimum Sample but Maximum Automation Mode

NMR-Based Fragment Screening in a Minimum Sample but Maximum Automation Mode

Published on: June 4, 2021

Fragment Screening by NMR.

¹Vernalis Research, Cambridge, UK. b.davis@vernalis.com.

Methods in Molecular Biology (Clifton, N.J.)

|April 20, 2021

Summary

This summary is machine-generated.

This study details using Nuclear Magnetic Resonance (NMR) for fragment-based lead discovery. It focuses on practical 1D proton NMR techniques for screening fragment libraries and identifying low-affinity interactions effectively.

Keywords:

Biophysics Drug discovery FBLD Fragment screening Fragment-based lead discovery NMR

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Area of Science:

Medicinal Chemistry
Structural Biology
Biophysical Chemistry

Background:

Fragment-based lead discovery (FBLD) is a key strategy in drug development.
NMR spectroscopy offers a sensitive biophysical method for detecting molecular interactions.

Purpose of the Study:

To provide a practical guide for employing NMR in fragment screening campaigns.
To highlight the utility of 1D ligand-observed proton NMR experiments for FBLD.
To address challenges in identifying weak ligand-target interactions.

Main Methods:

Utilizing 1D ligand-observed 1H NMR spectroscopy for fragment screening.
Implementing optimized experimental configurations for NMR fragment screening.
Applying strategies to mitigate artifacts in NMR-based interaction studies.

Main Results:

Demonstrated the practical application of NMR for screening fragment libraries.
Detailed the specific advantages and considerations of 1D proton NMR in FBLD.
Provided methods to improve the reliability of identifying low-affinity binders.

Conclusions:

NMR, particularly 1D ligand-observed 1H NMR, is a powerful and practical tool for FBLD.
Careful experimental design and artifact mitigation are crucial for successful fragment screening.
This approach facilitates the identification of novel low-affinity interactions for drug discovery.