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Updated: Dec 23, 2025

Mapping the Binding Site of an Aptamer on ATP Using MicroScale Thermophoresis

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Published on: January 7, 2017

Mathematical approaches in estimating aptamer-target binding affinity.

Ramesh Thevendran¹, Tholasi Nadhan Navien¹, Xin Meng²

¹Advanced Medical & Dental Institute (AMDI), Universiti Sains Malaysia, Bertam, 13200, Kepala Batas, Penang, Malaysia.

Analytical Biochemistry

|April 22, 2020

Summary

This summary is machine-generated.

This study reviews mathematical models for aptamer binding affinity measurement, emphasizing their crucial role alongside technical methods for accurate analysis of aptamer-target interactions.

Keywords:

Aptamers-target interactions Binding affinity Binding curve K(D) values Mathematical approaches Mathematical models

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Area of Science:

Biochemistry
Analytical Chemistry
Computational Biology

Background:

Aptamers are crucial for analytical applications due to their specificity and selectivity.
Current research often overlooks the mathematical models essential for accurate aptamer-target binding affinity measurements.

Purpose of the Study:

To provide a comprehensive review of mathematical models and equations for aptamer binding affinity.
To detail computational steps for deriving aptamer-target binding affinity.
To discuss factors influencing affinity measurements.

Main Methods:

Explanation of various mathematical models, from one-site to multiple binding site models.
Discussion of models used in thermodynamic and kinetic analyses.
Inclusion of models for cooperativity and competitive assays.

Main Results:

Detailed exposition of diverse mathematical models applicable to aptamer affinity studies.
Scrutiny of models that account for factors affecting binding measurements.
Comprehensive overview of computational approaches for affinity derivation.

Conclusions:

Mathematical models are as vital as technical methods for precise aptamer affinity quantification.
Understanding these models enhances the reliability and application of aptamers in diagnostics and therapeutics.
This review serves as a guide for researchers in selecting and applying appropriate mathematical frameworks.