Challenges and current status of computational methods for docking small molecules to nucleic acids

Area of Science:

• Computational chemistry
• Drug discovery
• Molecular modeling

Background:

• Molecular docking is a key strategy for identifying bioactive molecules.
• Traditionally, docking focused on protein targets.
• Emerging interest targets nucleic acids like RNA riboswitches and DNA G-quadruplexes.

Purpose of the Study:

• To review the current state of in silico docking for nucleic acids.
• To highlight available docking programs for nucleic acid targets.
• To discuss the challenges in adapting protein-focused docking methods.

Main Methods:

• Review of existing literature on molecular docking.
• Analysis of computational programs for nucleic acid docking.
• Identification of biochemical and physical differences impacting docking accuracy.

Main Results:

• Existing docking programs face challenges with nucleic acids due to charge, binding pocket, and solvation differences.
• There is a growing need for specialized docking tools for nucleic acid targets.
• The field is evolving to address these specific challenges.

Conclusions:

• Adapting protein-based docking to nucleic acids requires addressing unique biochemical properties.
• Development of novel or modified docking programs is crucial for effective nucleic acid drug discovery.
• This review provides an overview of the current landscape and future directions.