QXP: powerful, rapid computer algorithms for structure-based drug design

Area of Science:

• Computational Chemistry
• Molecular Modeling
• Drug Design

Background:

• Accurate prediction of molecular conformations is crucial for structure-based drug design.
• Existing methods for molecular docking and template fitting can be computationally intensive and may lack accuracy for flexible molecules.

Purpose of the Study:

• To introduce and evaluate new algorithms for molecular docking, template fitting, and pseudo-receptor building.
• To assess the reliability, ease of use, and speed of the Quick Explore (QXP) program for routine application in drug design.

Main Methods:

• Development of QXP search algorithms based on Monte Carlo perturbation and energy minimization.
• Introduction of a fast search step for approximate low-energy structure generation.
• Utilizing a superposition force field for template fitting and building pseudo-receptors from small molecules.

Main Results:

• Docking algorithms achieved RMSD < 0.76 Å for 10 of 12 protein-ligand complexes with flexible ligands.
• Template fitting successfully generated known ACE inhibitor templates and built complementary pseudo-receptors.
• Docked ACE inhibitors into pseudo-receptors showed high geometric agreement (RMSD < 0.08 Å).

Conclusions:

• The QXP program provides a reliable, user-friendly, and rapid approach for molecular docking and template fitting.
• The developed methods are suitable for routine application in structure-based drug design.
• Pseudo-receptor construction demonstrates steric and chemical complementarity to target molecules.