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Mass Spectrometry: Molecular Fragmentation Overview

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The ionization of a molecule into a molecular ion inside the mass spectrometer causes instability in the molecule's structure due to the loss of an electron. This eventually leads to the fragmentation or breaking of some bonds in the molecule. The fragmentation occurs predominantly at specific bonds to yield relatively stable fragments.
One type of fragmentation pattern is the cleavage of a single bond in the molecular ion. The cleavage leads to a radical and a cation. The cleavage can occur at...

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CustomKinFragLib: Filtering the Kinase-Focused Fragmentation Library.

Paula Linh Kramer¹, Katharina Buchthal¹, Dominique Sydow²

¹Data Driven Drug Design, Center for Bioinformatics, Saarland University, Campus, 66123 Saarbrücken, Germany.

|March 23, 2026

Summary

CustomKinFragLib streamlines fragment-based drug discovery for kinase inhibitors by reducing large libraries into smaller, synthesis-friendly sets. This approach enhances the efficiency of identifying potential drug candidates for diseases like cancer.

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Area of Science:

Medicinal Chemistry
Computational Drug Discovery
Biochemistry

Background:

Protein kinases are critical regulators of cellular processes.
Dysregulation of kinases is implicated in diseases such as cancer and autoimmune disorders.
Kinases are vital drug targets, making kinase inhibitor development a key area of research.

Purpose of the Study:

To address the computational challenges in fragment-based drug discovery (FBDD) for kinase inhibitors.
To introduce CustomKinFragLib, a pipeline for curating and reducing fragment libraries.
To generate a smaller, more tractable, and synthesis-friendly fragment set for kinase inhibitor design.

Main Methods:

Developed CustomKinFragLib, a user-oriented pipeline building on the KinFragLib framework.
Implemented a systematic post hoc reduction and filtering strategy for fragment sets.
Integrated literature-derived drug-relevant filters, including synthetic accessibility and drug-likeness properties.

Main Results:

Reduced the KinFragLib library from 9131 to 837 fragments.
Retained diverse fragments with drug-like properties and high synthetic tractability.
Generated a practical fragment set suitable for downstream kinase inhibitor design workflows.

Conclusions:

CustomKinFragLib offers a practical and customizable solution for generating focused fragment libraries for kinase inhibitor discovery.
The pipeline enhances the efficiency of FBDD by providing curated, synthesis-friendly fragment sets.
This approach facilitates the design of novel kinase inhibitors for therapeutic applications.