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Published on: January 7, 2017
Reconsidering Molecular Docking Practices in Aptamer Research
1Department of Chemistry, Waterloo Institute for Nanotechnology, University of Waterloo, Waterloo, Ontario, Canada.
Chembiochem : a European Journal of Chemical Biology
|July 24, 2026
Summary
Computational aptamer modeling often fails to predict accurate structures, hindering reliable target interaction analysis. Current methods struggle with conformational accuracy, impacting binding site prediction and molecular docking efficacy.
Area of Science:
- Biochemistry
- Structural Biology
- Computational Chemistry
Background:
- Molecular docking is widely used to predict aptamer-target interactions.
- Most studies utilize computationally predicted aptamer structures, not experimentally determined ones.
Purpose of the Study:
- To evaluate the reliability of common computational modeling approaches for aptamer structure prediction.
- To identify limitations in current aptamer docking workflows for inferring binding mechanisms.
Main Methods:
- Assessed RNAComposer and AlphaFold3 for aptamer conformation prediction using a benchmark set.
- Systematically evaluated docking workflow steps using the theophylline aptamer.
- Analyzed structure prediction errors, docking score accuracy, and molecular dynamics simulations.
Main Results:
- Common modeling tools fail to reliably reproduce aptamer conformations, especially at binding sites.
- Structure prediction errors lead to inaccurate binding pockets and unreliable docking scores.
- Docking scores could not differentiate between high- and low-affinity ligands for the theophylline aptamer.
Conclusions:
- Current computational methods exhibit fundamental weaknesses in predicting aptamer structures and binding.
- Relying solely on docking-derived models without experimental structural data can lead to erroneous conclusions about binding mechanisms.
