Molecular Modeling Applied to Nucleic Acid-Based Molecule Development.

Area of Science:

• Computational Chemistry
• Drug Discovery
• Molecular Biology

Background:

• Molecular modeling techniques like docking and molecular dynamics (MD) are crucial in early drug discovery for screening small molecules.
• Nucleic acid (NA)-based molecules are increasingly important in therapy, diagnostics, and drug delivery.
• The SELEX technique has significantly advanced the development of high-affinity NA ligands.

Purpose of the Study:

• To review the application and impact of docking and MD in developing and optimizing NA-based molecules.
• To focus on computational approaches for modeling NA-protein interactions.
• To discuss structure prediction, docking, and MD methods for NA-protein systems.

Main Methods:

• Review of current molecular modeling approaches for NA-protein interactions.
• Discussion of docking and molecular dynamics (MD) simulations.
• Analysis of structure prediction techniques.

Main Results:

• Docking and MD are valuable tools for screening and optimizing NA-based drug candidates.
• Various computational methods exist for modeling NA-protein interactions, each with advantages and limitations.
• The flexibility of molecules significantly influences the accuracy of computational calculations.

Conclusions:

• Molecular modeling, particularly docking and MD, plays a vital role in advancing NA-based drug discovery.
• Understanding the interplay between NA flexibility and computational methods is key for accurate predictions.
• This review highlights the current state and future directions of computational strategies in NA-based therapeutic development.