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How to measure and evaluate binding affinities.

Inga Jarmoskaite1, Ishraq AlSadhan1, Pavanapuresan P Vaidyanathan1

  • 1Department of Biochemistry, Stanford University, Stanford, United States.

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|August 8, 2020
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Summary

Researchers need better standards for measuring biomolecule binding. A review found many studies lacked essential controls, impacting data reliability and biological interpretations. A new framework aims to improve these quantitative measurements.

Keywords:
RNA binding proteinbinding affinitybiochemistrychemical biologydissociation constantkineticsnoneprotein‐ligand interactionthermodynamics

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Area of Science:

  • Biochemistry
  • Molecular Biology
  • Structural Biology

Background:

  • Quantitative biomolecule association measurements are crucial for biological models.
  • High-throughput technologies are increasing the availability of binding data.
  • Current standards for reporting binding measurements are insufficient.

Purpose of the Study:

  • To evaluate current standards for performing and reporting equilibrium binding measurements.
  • To identify deficiencies in study documentation and reliability.
  • To provide a framework for high-quality binding measurements.

Main Methods:

  • Reviewed 100 studies for documented controls and reporting standards.
  • Identified common omissions in experimental design (incubation time, concentration regimes).
  • Applied a proposed framework to experimental examples using the RNA-binding protein Puf4.

Main Results:

  • Most reviewed studies lacked essential controls, hindering reliability assessment.
  • Reported binding affinities in several studies were potentially incorrect.
  • The proposed framework facilitates clear documentation and reliable measurements.

Conclusions:

  • There is a critical need for improved standards in reporting binding measurements.
  • The provided framework offers guidance for researchers to perform and document high-quality equilibrium binding data.
  • Adherence to the framework will enhance the reliability and interpretability of biomolecular interaction studies.