Cloud 3D-QSAR

Cloud 3D-QSAR performs three-dimensional quantitative structure–activity relationship (3D-QSAR) modeling to predict compound biological activity for drug discovery.

Key Features:

• Integrated Functions: Integrates molecular structure generation, alignment, Molecular Interaction Field (MIF) computation, and results analysis for 3D-QSAR workflows.
• Molecular Structure Generation: Automatic generation of molecular structures for input preparation.
• Alignment: Molecular alignment for consistent spatial comparison across compounds.
• MIF Computing: Computation of Molecular Interaction Fields (MIFs) to relate molecular features to biological activity.
• Results Analysis: Analysis of QSAR model outputs and activity predictions.
• Advanced Software Utilization: Implements Open3DQSAR for QSAR modeling and Open Babel for molecular structure processing.
• Validation and Performance: Reported external validation on 834 molecules with R² = 0.934; sensitivity 86.9%, specificity 94.5%, accuracy 91.5%, AUC 0.981, and AUCPR 0.971.

Scientific Applications:

• Biological Activity Prediction: Predicting biological activity (including pKi) of small molecules from chemical structures.
• Virtual Screening: Virtual screening of large compound libraries to prioritize candidates for synthesis and testing.
• Lead Identification and Optimization: Supporting lead identification, optimization, and validation within drug discovery workflows.

Methodology:

Computational steps explicitly include automatic molecular structure generation, molecular alignment, MIF computation, and results analysis using Open3DQSAR with molecular processing handled by Open Babel.