Rational in silico design of aptamers for organophosphates based on the example of paraoxon

Daria A Belinskaia1, Pavel V Avdonin2, Piotr P Avdonin2

  • 1Sechenov Institute of Evolutionary Physiology and Biochemistry, Russian Academy of Sciences, pr. Torez 44, St. Petersburg 194223, Russia.

Insights

This study developed a computational method to design aptamers for binding organophosphate (OP) pesticides like paraoxon. The designed aptamers show higher binding affinity for paraoxon than acetylcholinesterase (AChE).

Area of Science:

  • Biotechnology and Pharmaceutical Sciences
  • Computational Chemistry and Molecular Modeling

Background:

  • Organophosphate (OP) poisoning is a significant global health concern, necessitating effective detoxification strategies.
  • Aptamers, particularly DNA or RNA aptamers, offer a promising approach for capturing OP toxins in the bloodstream.

Purpose of the Study:

  • To develop and validate a rational in silico design strategy for creating high-affinity aptamers targeting organophosphates.
  • To utilize paraoxon as a model OP compound for aptamer design and evaluation.

Main Methods:

  • Construction of a 3D model for a known OP-binding aptamer sequence.
  • Molecular docking and molecular dynamics (MD) simulations to identify the paraoxon binding site.
  • Mutagenesis of binding site nucleotides, free binding energy calculations (MD trajectories, MM-PBSA), and comparative binding energy analysis against acetylcholinesterase (AChE).

Main Results:

  • Identification of two novel aptamer sequences with enhanced binding efficiency for paraoxon.
  • Computational analysis revealed that the designed aptamers bind paraoxon more strongly than AChE.
  • Detailed analysis of paraoxon-nucleotide interactions within the aptamer binding sites was performed.

Conclusions:

  • The in silico approach enables the rational design of effective aptamers for organophosphate detoxification.
  • The developed aptamers demonstrate superior binding affinity for paraoxon compared to the natural target AChE.
  • This study highlights the potential for improving in silico aptamer selection methodologies.

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