Challenges and advances in computational docking: 2009 in review

Area of Science:

• Computational chemistry
• Molecular modeling
• Drug discovery

Background:

• Molecular docking is a key computational technique for estimating ligand-receptor binding affinity.
• Accurate binding predictions are crucial for efficient drug design, particularly in virtual screening.

Purpose of the Study:

• To review methodological developments in molecular docking during 2009.
• To highlight advancements addressing key challenges in docking accuracy and application.

Main Methods:

• Focus on challenges in receptor representation, including flexibility and protonation states.
• Analysis of ligand representation issues, such as tautomerism and conformation.
• Examination of methods for incorporating solvation and binding entropy.

Main Results:

• Significant progress in handling receptor flexibility and ligand tautomerism.
• Improved methods for accounting for solvation effects in binding affinity calculations.
• Enhanced accuracy in docking predictions for drug design applications.

Conclusions:

• Methodological advancements in 2009 have improved the reliability of molecular docking.
• These improvements are vital for the success of virtual screening and fragment-based drug design.