A validation strategy for in silico generated aptamers.

Area of Science:

• Biotechnology
• Computational Biology
• Drug Discovery

Background:

• High-affinity aptamers are crucial for clinical and technological applications.
• Previous computational methods for aptamer structure prediction showed discrepancies with experimental results.

Purpose of the Study:

• To propose a novel computational strategy for validating the 3D structures of anti-Angiopoietin-2 aptamers.
• To improve the reliability of in silico aptamer design and prediction of binding affinity.

Main Methods:

• Generating a large set of conformations for candidate aptamers.
• Performing rigid docking of aptamers onto the Angiopoietin-2 receptor.
• Utilizing a complex network approach (Proteotronics) for topological and electrical characterization.

Main Results:

• A global binding score was developed based on conformational and docking energies.
• The proposed method demonstrated good agreement between computational predictions and known experimental measurements.
• The Proteotronics approach provided insights into the electrical properties of aptamer-receptor complexes.

Conclusions:

• The novel computational strategy enhances the reliability of in silico aptamer structure validation.
• This approach offers a more accurate prediction of aptamer binding affinity, aiding in the selection of high-affinity aptamers.
• The findings support the use of this method for future aptamer design and application development.