Flexible CDOCKER: Development and application of a pseudo-explicit structure-based docking method within CHARMM.

Area of Science:

• Computational chemistry
• Structural biology
• Drug discovery

Background:

• Protein-ligand docking is crucial for identifying and refining drug leads.
• Traditional methods often treat receptors as rigid, limiting accuracy.
• Incorporating protein flexibility is a key challenge in computational docking.

Purpose of the Study:

• To develop an efficient method for exploring both protein and ligand conformational space simultaneously.
• To extend the CHARMM (Chemistry at HARvard Macromolecular Mechanics) docking suite with receptor flexibility.
• To improve the accuracy and efficiency of protein-ligand docking.

Main Methods:

• Developed Flexible CDOCKER, integrating side chain flexibility into grid-based docking.
• Allowed simultaneous exploration of protein and ligand conformational space.
• Validated through re-docking trials on the CCDC/Astex dataset.

Main Results:

• Flexible CDOCKER achieves docking accuracy competitive with or exceeding existing methods.
• The method efficiently samples conformational space for both receptor and ligand.
• Demonstrated improved performance compared to iterative, independent sampling approaches.

Conclusions:

• Flexible CDOCKER offers an efficient and accurate approach to protein-ligand docking with receptor flexibility.
• This method advances computational drug discovery by better representing protein dynamics.
• The CHARMM extension provides a powerful tool for lead identification and refinement.