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Proteins are dynamic macromolecules that carry out a wide variety of essential processes; however, the activities of most proteins depend on their interactions with other molecules or ions, known as ligands.
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The equilibrium binding constant (Kb) quantifies the strength of a protein-ligand interaction. Kb can be calculated as follows when the reaction is at equilibrium:
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Summary

A new Affinity Map platform enables global quantitative binding affinity profiling. This method simultaneously identifies protein targets and measures binding affinities for diverse ligands in complex biological samples.

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Area of Science:

  • Biochemistry and Molecular Biology
  • Chemical Biology
  • Proteomics

Background:

  • Protein-ligand interactions are crucial for drug action and cellular signaling.
  • Current methods for identifying interactions and measuring binding affinity are often indirect, low-throughput, or limited to specific protein classes.
  • Simultaneous target identification and affinity measurement remain a significant challenge in chemical biology.

Purpose of the Study:

  • To develop a generalizable platform for simultaneous protein target identification and quantitative binding affinity profiling.
  • To overcome the limitations of existing methods in terms of scope and throughput.
  • To enable the study of protein-ligand interactions in native biological environments.

Main Methods:

  • Development of the Affinity Map platform, integrating competitive binding analysis, photocatalytic labeling, and high-throughput proteomics.
  • Application of the platform to diverse ligand classes including small molecules, peptides, and proteins.
  • Validation of the method using cell lysates, organ extracts, and live cell surfaces.

Main Results:

  • Demonstrated the capability of Affinity Map for global quantitative binding affinity profiling.
  • Showcased the platform's applicability across a wide range of ligand types (small molecules, linear peptides, cyclic peptides, proteins).
  • Successfully measured binding affinities between unmodified ligands and proteins in complex biological matrices.

Conclusions:

  • Affinity Map provides a generalizable and high-throughput approach for comprehensive protein-ligand interaction analysis.
  • The platform enables accurate measurement of binding affinities in native cellular contexts, advancing drug discovery and biological research.
  • This technology significantly expands the toolkit for characterizing molecular interactions in complex biological systems.