Bioactive Conformational Ensemble

Bioactive Conformational Ensemble generates conformational ensembles of drug-like ligands to sample bioactive conformers and address ligand flexibility for structure-based in silico drug discovery.

Key Features:

• Conformational ensemble generation: Produces ensembles of bioactive conformers for drug-like ligands.
• 1D/2D to 3D conversion: Transforms one-dimensional (1D) or two-dimensional (2D) representations into three-dimensional (3D) molecular structures.
• Preparatory processing: Applies titration, parameterization, hydration, and optimization steps to 3D molecules.
• Hamiltonian replica-exchange molecular dynamics (HREX MD): Uses HREX simulations to extensively sample ligand conformational space.
• Clustering: Clusters simulation ensembles to derive representative conformers.
• SCRF/QM calculations: Performs self-consistent reaction field quantum mechanics (SCRF/QM) calculations on selected conformers.
• Data organization: Organizes structural data using a noSQL database.
• Addressing ligand flexibility: Targets ligand flexibility challenges in structure-based drug discovery algorithms.

Scientific Applications:

• Structure-based in silico drug discovery: Supplies sampled bioactive conformers to improve modeling in structure-based drug discovery workflows.
• Computational model accuracy: Enhances the predictive power and reliability of computational models used in modern drug development.
• Quantum characterization: Provides representative conformers for self-consistent reaction field quantum mechanics (SCRF/QM) analysis.
• Addressing ligand flexibility in algorithms: Mitigates accuracy loss in structure-based drug discovery algorithms caused by ligand flexibility.

Methodology:

Conversion of 1D/2D representations to 3D, followed by titration, parameterization, hydration, optimization, Hamiltonian replica-exchange (HREX) molecular dynamics simulations, clustering to select representative conformers, and self-consistent reaction field quantum mechanics (SCRF/QM) calculations, with structural data organized in a noSQL database.